Method and system for pattern recognition and processing

A method for recognizing a pattern in information, the method comprising:

• producing data relating to said information with a transducer, wherein said information is representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• inputting said data into a computer comprising a memory and a display device;
• representing the information in said memory as a plurality of Fourier series in Fourier space;
• forming associations between at least two of the Fourier series by modulating and sampling the Fourier series with filters and by coupling the filtered Fourier series based on a probability distribution, wherein when at least two of the Fourier series have been associated recognition of a pattern in the information is achieved;
• and
• outputting, using said display device, a recognized pattern in the information.

A method for recognizing a pattern in information and establishing an order formatted pattern in information with respect to standard ordered information, the method comprising:

• a.) obtaining a string comprising a sum of Fourier series from a memory of a computer, said string representing information representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• b.) selecting, using the computer, at least two filters from a selected set of filters;
• c.) sampling, using the computer, the string with the filters such that each of the filters produces a sampled Fourier series, each Fourier series comprising a subset of the string;
• d.) modulating, using the computer each of the sampled Fourier series in Fourier space with the corresponding selected filter such that each filter produces an order formatted Fourier series;
• e.) adding, using the computer the order formatted Fourier series produced by each filter to form a summed Fourier series in Fourier space;
• f.) obtaining an ordered Fourier series from the memory;
• g.) determining, using the computer a spectral similarity between the summed Fourier series and the ordered Fourier series;
• h.) determining, using the computer, a probability expectation value based on the spectral similarity;
• i.) generating, using the computer, a probability operand based on the probability expectation value;
• j.) repeating steps b-i until the probability operand has a desired value, when the probability operand has a desired value a pattern in information has been recognized and an order formatted pattern in the information has been established;
• k.) storing the summed Fourier series to an intermediate memory;
• l.) removing the selected filters from the selected set of filters to form an updated set of filters;
• m.) removing the subsets from the string to obtain an updated string;
• n.) selecting an updated filter from the updated set of filters;
• o.) sampling the updated string with the updated filter to form a sampled Fourier series comprising a subset of the string;
• p.) modulating the sampled Fourier series in Fourier space with the corresponding selected updated filter to form an updated order formatted Fourier series;
• q.) recalling the summed Fourier series from the intermediate memory;
• r.) adding the updated order formatted Fourier series to the summed Fourier series from the intermediate memory to form an updated summed Fourier series in Fourier space;
• s.) obtaining an updated ordered Fourier series from the high level memory;
• t.) determining a spectral similarity between the updated summed Fourier series and the updated ordered Fourier series;
• u.) determining a probability expectation value based on the spectral similarity;
• v.) generating a probability operand based on the probability expectation value;
• w.) repeating steps n-v until the probability operand has a desired value or all of the updated filters have been selected from the updated set of filters, when the probability operand has a desired value a pattern in information has been recognized an order formatted pattern in the information has been established;
• x.) if all of the updated filters have been selected before the probability operand has a desired value, then clearing the intermediate memory and returning to step b;
• y.) if the probability operand has a desired value, then storing the updated summed Fourier series to the intermediate memory;
• z.) repeating steps l-y until one of the following set of conditions is satisfied:
• the updated set of filters is empty, or the remaining subsets of the string of step m.) is nil;
• and
• aa.) storing the Fourier series in the intermediate memory in the high level memory of said computer.

A computer comprising:

• a processor for recognizing a pattern in information comprising data and establishing an order formatted pattern in information:
• a computer memory comprising a set of initial ordered Fourier series;
• software loaded into the memory of the computer that, when executed by the processor, causes the computer to generate:
• an input layer that receives data representative of physical characteristics or representations of physical characteristics within an input context of the physical characteristics and transforms the data into a Fourier series in Fourier space wherein the input context is encoded in time as delays corresponding to modulation of the Fourier series at corresponding frequencies;
• an association layer that receives a plurality of the Fourier series in Fourier space from the memory, recognizes a pattern in information represented by the Fourier series, forms a string comprising a sum of Fourier series, and stores the string in memory;
• a string ordering layer that receives the string and at least one ordered Fourier series from the memory, orders the Fourier series contained in the string by establishing an order formatted pattern in information to form an ordered string, and stores the ordered string in memory;
• and
• a predominant configuration layer that receives multiple ordered strings from the memory, forms complex ordered strings from the ordered strings, stores the complex ordered strings to the memory, and activates the components of any of the layers of the system to recognize a pattern in information and establish an order formatted pattern in information;
• and
• a display device for displaying the recognized pattern.

A method of recognizing a pattern in information, the method comprising:

• a.) generating, using a computer, an activation probability parameter based on a prior activation probability parameter generated based on a Fourier Series in Fourier Space and a weighting based on an activation rate of a corresponding component, wherein the activation probability parameter relates to the frequency with which the component is activated, wherein the computer does not recognize a pattern in the information;
• b.) storing the activation probability parameter in a memory of the computer;
• c.) generating a probability operand based on the activation probability parameter;
• d.) if said probability operand is a desired value, activating any component of one or more of the group consisting of an input layer, an association layer, a string ordering layer, and a predominant configuration layer, the activation being based on the activation probability parameter, wherein a pattern in information is recognized when said probability operand is said desired value;
• e.) repeating steps a-d until the computer recognizes a pattern in the information.

A computer program product, comprising a computer-readable medium having a computer readable program code embodied therein, said computer readable program code adapted to be executed by a computer to implement a method for recognizing a pattern in information comprising data, the method comprising:

• encoding data as parameters of a plurality of Fourier components in Fourier space using said computer;
• adding at least two of said Fourier components together to form at least one Fourier series in Fourier space using said computer;
• providing a system using said computer, wherein the system comprises distinct software components, and wherein the distinct software components comprise:
• a filter for sampling at least one of said Fourier series in Fourier space to form a sampled Fourier series, wherein the sampled Fourier series in Fourier space is modulated with said filter to form a modulated Fourier series;
• a spectral similarity analyzer for determining a spectral similarity between said modulated Fourier series and another Fourier series;
• a probability expectation analyzer for determining a probability expectation value based on said spectral similarity;
• and
• a probability operand generator for generating a probability operand based on said probability expectation value,
• wherein the system selects a desired value for said probability operand, wherein recognition of a pattern in said information is obtained when said probability operand has said desired value wherein the computer readable medium is a non-transitory computer readable medium.

A computer-readable medium on which is stored a computer program for providing a method for recognizing a pattern in information, the computer program comprising instructions which, when executed by a computer comprising a processor, cause the processor to:

• represent the information as a plurality of Fourier series in Fourier space, wherein the information is representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• form associations, using the computer, between at least two of the Fourier series by modulating and sampling the Fourier series with filters and by coupling the filtered Fourier series based on a probability distribution, wherein when at least two of the Fourier series have been associated recognition of a pattern in the information is achieved;
• and
• store the at least two of the Fourier series that have been associated in a memory wherein the computer readable medium is a non-transitory computer readable medium.

A computer-readable medium on which is stored a computer program for providing a method for recognizing a pattern in information and establishing an order formatted pattern in information with respect to standard ordered information, the computer program comprising instructions which, when executed by a computer, perform the steps of:

• a.) obtaining, using the computer, a string comprising a sum of Fourier series from a memory, said string representing information, said information representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• b.) selecting, using the computer, at least two filters from a selected set of filters;
• c.) sampling, using the computer, the string with the filters such that each of the filters produces a sampled Fourier series, each Fourier series comprising a subset of the string;
• d.) modulating, using the computer, each of the sampled Fourier series in Fourier space with the corresponding selected filter such that each filter produces an order formatted Fourier series;
• e.) adding, using the computer, the order formatted Fourier series produced by each filter to form a summed Fourier series in Fourier space;
• f.) obtaining, using the computer, an ordered Fourier series from the memory;
• g.) determining, using the computer, a spectral similarity between the summed Fourier series and the ordered Fourier series;
• h.) determining, using the computer, a probability expectation value based on the spectral similarity;
• i.) generating, using the computer, a probability operand based on the probability expectation value;
• j.) repeating steps b-i until the probability operand has a desired value, when the probability operand has a desired value a pattern in information has been recognized and an order formatted pattern in the information has been established;
• k.) storing the summed Fourier series to an intermediate memory;
• l.) removing the selected filters from the selected set of filters to form an updated set of filters;
• m.) removing the subsets from the string to obtain an updated string;
• n.) selecting an updated filter from the updated set of filters;
• o.) sampling the updated string with the updated filter to form a sampled Fourier series comprising a subset of the string;
• p.) modulating the sampled Fourier series in Fourier space with the corresponding selected updated filter to form an updated order formatted Fourier series;
• q.) recalling the summed Fourier series from the intermediate memory;
• r.) adding the updated order formatted Fourier series to the summed Fourier series from the intermediate memory to form an updated summed Fourier series in Fourier space;
• s.) obtaining an updated ordered Fourier series from the high level memory;
• t.) determining a spectral similarity between the updated summed Fourier series and the updated ordered Fourier series;
• u.) determining a probability expectation value based on the spectral similarity;
• v.) generating a probability operand based on the probability expectation value;
• w.) repeating steps n-v until the probability operand has a desired value or all of the updated filters have been selected from the updated set of filters, when the probability operand has a desired value a pattern in information has been recognized and an order formatted pattern in the information has been established;
• x.) if all of the updated filters have been selected before the probability operand has a desired value, then clearing the intermediate memory and returning to step b;
• y.) if the probability operand has a desired value, then storing the updated summed Fourier series to the intermediate memory;
• z.) repeating steps l-y until one of the following set of conditions is satisfied:
• the updated set of filters is empty, or the remaining subsets of the string of step m.) is nil;
• and
• aa.) storing the Fourier series in the intermediate memory in the high level memory wherein the computer readable medium is a non-transitory computer readable medium.

A computer-readable medium on which is stored a computer program for providing a method for recognizing a pattern in information and establishing an order formatted pattern in information, the computer program comprising instructions which, when executed by a computer, perform the steps of:

• a.) recording ordered strings comprising Fourier series in Fourier Space to a high level memory, said Fourier series representing information, said information representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• b.) forming association between Fourier series of the ordered strings to form complex strings and recognizing a pattern in information;
• c.) ordering the Fourier series of the complex strings to form complex ordered strings representing recognized information and establishing an order formatted pattern in information;
• d.) storing the complex ordered strings to the high level memory;
• and
• e.) displaying the pattern in the information on a display device of the computer wherein the computer readable medium is a non-transitory computer readable medium.

A computer-readable medium on which is stored a computer program for providing a method for recognizing a pattern in information comprising data and forming a predominant configuration, the computer program comprising instructions which, when executed by a computer, perform the steps of:

• a.) accepting an input at the computer from one or more components representative of the current activation rates of the one or more components and one or more prior activation probability parameters generated based on a Fourier Series in Fourier Space;
• b.) generating an activation probability parameter using the computer based on a prior activation probability parameter and a weighting based on an activation rate of the corresponding component;
• c.) storing the activation probability parameter in memory;
• d.) generating a probability operand based on the activation probability parameter using the computer;
• e.) if said probability operand is a desired value, activating, using the computer, any component of one or more of the group consisting of an input layer, an association layer, a string ordering layer, and a predominant configuration layer, the activation being based on the activation probability parameter, wherein recognition of a pattern in information is achieved when said probability operand is said desired value, and
• f.) repeating steps b-e to form a predominate configuration wherein the computer readable medium is a non-transitory computer readable medium.

A computer program product for recognizing a pattern in information for use in a computer including a central processing unit and a memory, the memory maintaining a set of initial ordered Fourier series, the computer program product comprising:

• a computer readable medium;
• program code means embodied in the computer readable medium, the program code means comprising:
• means for receiving data representative of physical characteristics or representations of physical characteristics within an input context of the physical characteristics from a transducer and transforming the data, using the central processing unit, into a Fourier series in Fourier space wherein the input context is encoded in time as delays corresponding to modulation of the Fourier series at corresponding frequencies;
• means for receiving a plurality of the Fourier series in Fourier space including at least one ordered Fourier series from the memory, forming a string comprising a sum of the Fourier series using the central processing unit and storing the string in memory;
• means for retrieving the string from memory, ordering the Fourier series contained in the string to form an ordered string using the central processing unit and storing the ordered string in memory;
• and
• means for retrieving multiple ordered strings from the memory, forming complex ordered strings from the ordered strings using the central processing unit and storing the complex ordered strings to the memory;
• and
• means for receiving the complex ordered strings and displaying a pattern recognized using the complex ordered strings on a display wherein the computer readable medium is a non-transitory computer readable medium.

A method of recognizing a pattern in information comprising data and establishing an order formatted pattern in information, the method comprising:

• receiving input data from a transducer at a computer comprising a memory, the input data related to one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• encoding inputted data, using the computer, as a plurality of Fourier components in Fourier Space and form a plurality of Fourier series from said Fourier components, said Fourier series representing information comprising data and input context;
• associating said plurality of Fourier series with each other according to spectral similarities between said plurality of Fourier series to form a string using the computer, said string being a sum of associated plurality of Fourier series;
• ordering said plurality of Fourier series within said string based on relative degree of association of order formatted subsets of said string with relevant aspects of a standard ordered string using the computer;
• assigning an activation probability parameter to each of said plurality of Fourier components and to each of said plurality of Fourier series to produce a predominant configuration string using the computer, generating a probability operand based on said activation probability parameter, said probability operand determining whether an activation of any one of said plurality of Fourier component and said plurality of Fourier series is to cause an activation of an associated another of said plurality of Fourier components and said plurality of Fourier series from said ordered string;
• and
• storing said predominant configuration string in said memory, wherein the predominant configuration string allows a pattern in newly inputted information to be recognized.

A system for recognizing a pattern in information comprising data using a computer comprising a memory, the system comprising:

• an input layer operable to receive said data at the computer, wherein said data comprises information representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest, and to encode said received data as parameters of a plurality of Fourier series in Fourier space, said plurality of Fourier series including input context of said data;
• a memory comprising a set of initial ordered Fourier series;
• an association layer operable to add associated Fourier series together to form a string using the computer;
• an ordering layer operable to order said string based on relative degree of association of order formatted subsets of said string with relevant aspects of characteristics with respect to at least one of said initial ordered Fourier series to form an ordered string using the computer;
• and
• a predominant configuration layer for receiving said ordered string using the computer and for assigning an activation probability parameter to each of said plurality of Fourier series using the computer to produce a predominant configuration string, generating a probability operand based on said activation probability parameter using the computer, said probability operand determining whether an activation of any one of said plurality of Fourier components and said plurality of Fourier series is to cause an activation of an associated another one of said plurality of Fourier components or Fourier series,
• wherein the memory stores said predominant configuration string, said predominant configuration string allowing a determination of a relative association of a newly inputted information to said inputted information already processed, thereby recognition of a pattern in said information can be recognized.

A computer-implemented method of recognizing a pattern in information comprising data, the method comprising utilizing a computer comprising a processor to perform the steps:

• providing an input layer operable to receive data, said data comprising said information, said information representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• providing an association layer operable to add associated portions of said data together to form a string;
• providing an ordering layer operable to order said string based on a relative degree of association of order formatted subsets of said string with relevant aspects of information of a standard string to form an ordered string;
• providing a predominant configuration layer operable to receive a plurality of ordered strings to form a complex ordered string therefrom;
• assigning, using said processor, an activation probability parameter to each of said input layer, said association layer, said ordering layer and said predominant configuration layer, said activation probability parameter being determined based on a historical value of said activation probability parameter and an activation rate of respective ones of said input layer, said association layer, said ordering layer and said predominant configuration layer;
• generating a probability operand based on the activation probability parameter using said processor;
• activating, using said processor, one or more of said input layer, said association layer, said ordering layer, said predominant configuration, said ordering layer, said predominant configuration layer, and said association layer if said probability operand has a desired value, whereby a pattern in said information is recognized according to a historical associative pattern in said data;
• and
• storing said pattern in a memory of said computer.

A computer readable medium having stored thereon a computer program to implement a method of recognizing a pattern in information comprising data using a computer, said computer program comprising a plurality of codes for executing the steps of:

• encoding, using the computer, said data as parameters of a plurality of Fourier components in Fourier space, wherein said information comprising said data represents one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• adding, using the computer, said plurality of Fourier components together to form a plurality of Fourier series in Fourier space, said plurality of Fourier series representing inputted information;
• sampling, using the computer, at least one of said plurality of Fourier series in Fourier space with a filter to form a sampled Fourier series;
• modulating, using the computer, said sampled Fourier series in Fourier space with said filter to form a modulated Fourier series;
• determining, using the computer, a spectral similarity between said modulated Fourier series and another one of said plurality of Fourier series;
• determining, using the computer, a probability expectation value based on said spectral similarity;
• generating, using the computer, a probability operand based on said probability expectation value;
• adding, using the computer, said modulated Fourier series and said another Fourier series, if said probability operand has a desired value, to form a string of Fourier series in Fourier space, said string representing an association between Fourier series to thereby allow recognition of a pattern in the information;
• and
• storing said string in a memory of the computer wherein the computer readable medium is a non-transitory computer readable medium.

A method for recognizing a pattern in information and establishing an order formatted pattern in information with respect to standard ordered information, the method performed in a computer and comprising:

• a.) obtaining, using the computer, a string comprising a sum of Fourier series from a computer memory, said string representing information that represents a one or more physical characteristics or one or more representations of physical characteristics within physical context of an item of interest;
• b.) selecting, using the computer, at least two filters from a selected set of filters;
• c.) sampling, using the computer, the string with the filters such that each of the filters produces a sampled Fourier series, each Fourier series comprising a subset of the string;
• d.) modulating, using the computer, each of the sampled Fourier series in Fourier space with the corresponding selected filter such that each filter produces an order formatted Fourier series;
• e.) adding, using the computer, the order formatted Fourier series produced by each filter to form a summed Fourier series in Fourier space;
• f.) obtaining, using the computer, an ordered Fourier series from the memory;
• g.) determining, using the computer, a spectral similarity between the summed Fourier series and the ordered Fourier series;
• h.) determining, using the computer, a probability expectation value based on the spectral similarity;
• i.) generating, using the computer, a probability operand based on the probability expectation value;
• j.) repeating steps b-i until the probability operand has a desired value, when said probability operand has a desired value a pattern in information has been recognized and an order formatted pattern in the information has been established;
• k.) storing the summed Fourier series to an intermediate memory;
• l.) removing the selected filters from the selected set of filters to form an updated set of filters;
• m.) removing the subsets from the string to obtain an updated string;
• n.) selecting an updated filter from the updated set of filters;
• o.) sampling the updated string with the updated filter to form a sampled Fourier series comprising a subset of the string;
• p.) modulating the sampled Fourier series in Fourier space with the corresponding selected updated filter to form an updated order formatted Fourier series;
• q.) recalling the summed Fourier series from the intermediate memory;
• r.) adding the updated order formatted Fourier series to the summed Fourier series from the intermediate memory to form an updated summed Fourier series in Fourier space;
• s.) obtaining an updated ordered Fourier series from the high level memory;
• t.) determining a spectral similarity between the updated summed Fourier series and the updated ordered Fourier series;
• u.) determining a probability expectation value based on the spectral similarity;
• v.) generating a probability operand based on the probability expectation value;
• w.) repeating steps n-v until the probability operand has a desired value or all of the updated filters have been selected from the updated set of filters, when the probability operand has a desired value a pattern in information has been recognized and an order information pattern in the information has been established;
• x.) if all of the updated filters have been selected before the probability operand has a desired value, then clearing the intermediate memory and returning to step b;
• y.) if the probability operand has a desired value, then storing the updated summed Fourier series to the intermediate memory;
• z.) repeating steps l-y until one of the following set of conditions is satisfied:
• the updated set of filters is empty, or the remaining subsets of the string of step m.) is nil;
• and
• aa.) storing the Fourier series in the intermediate memory in the high level memory, said updated summed Fourier series representing said plurality of Fourier series in said strings ordered according to a plurality of associations between the information of the plurality of order formatted subset Fourier series and the at least one ordered Fourier series from high level memory.

A computer readable medium having stored thereon a computer program to implement a method of recognizing a pattern in information comprising data and establishing an order formatted pattern in the information, said computer program comprising a plurality of codes for executing the steps of:

• providing an input layer operable to receive data, said information comprising said data representative of one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• providing an association layer operable to add associated portions of said data together to form a string;
• providing an ordering layer operable to order said string based on a relative degree of association of order formatted subsets of said string with relevant aspects of information of a standard string to form an ordered;
• providing a predominant configuration layer operable to receive a plurality of ordered strings to form a complex ordered string therefrom;
• assigning an activation probability parameter to each of said input layer, said association layer, said ordering layer and said predominant configuration layer, said activation probability parameter being determined based on a historical value of said activation probability parameter and an activation rate of respective ones of said input layer, said association layer, said ordering layer and said predominant configuration layer;
• generating a probability operand based on the activation probability parameter;
• activating one or more of said input layer, said association layer, said ordering layer, said predominant configuration, said ordering layer, said predominant configuration layer, and said association layer if said probability operand has a desired value, whereby a pattern in said information is recognized according to a historical associative pattern in said data;
• and
• displaying said pattern on a display device wherein the computer readable medium is a non-transitory computer readable medium.

A computer program product for use in a system for recognizing a pattern in information comprising data, said computer program product comprising:

• a computer readable medium having stored thereon program code means, said program code means comprising:
• means for receiving data from a transducer at a computer, and to encode said received data as parameters of a plurality of Fourier series in Fourier space, said plurality of Fourier series including input context of said data, wherein said information comprising said data represents one or more physical characteristics or one or more representations of physical characteristics within a physical context of an item of interest;
• means for associating Fourier series together to form a string using the computer,
• means for ordering said string based on a relative degree of association of order formatted subsets of said string with relevant aspects of information of a standard string to form an ordered string using the computer;
• means for forming a complex ordered string from a plurality of ordered strings, said complex ordered string representing a historical association and order of processed and stored information to thereby allow recognition of a pattern in information using the computer;
• and
• means for storing said complex ordered string in a memory wherein the computer readable medium is a non-transitory computer readable medium.