Signal processing apparatus, signal processing method, and storage medium

A signal processing apparatus, comprising:

• an acquisition unit configured to acquire input data;
• a unit configured to generate noise cut data by deducting a predetermined noise value from values of respective signals of the input data;
• a stochastic resonance processing unit configured to subject the input data to a predetermined stochastic resonance processing to subsequently multiply the noise cut data to thereby generate stochastic resonance data;
• and
• an output unit configured to output the result of the predetermined stochastic resonance processing,
• wherein:
• the predetermined stochastic resonance processing is processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the input data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite equivalency.

A signal processing method, comprising:

• an acquisition step of acquiring input data;
• a step of generating noise cut data by deducting a predetermined noise value from values of respective signals of the input data;
• a stochastic resonance processing step of subjecting the noise cut data to a predetermined stochastic resonance processing to thereby generate stochastic resonance data;
• and
• an output step of outputting the result of the predetermined stochastic resonance processing,
• wherein:
• the predetermined stochastic resonance processing is a processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the noise cut data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite equivalency.

A non-transitory computer-readable storage medium which stores a program for causing a computer to execute a signal processing method, the signal processing method comprising:

• an acquisition step of acquiring input data;
• a step of generating noise cut data by deducting a predetermined noise value from values of respective signals of the input data;
• a stochastic resonance processing step of subjecting the noise cut data to a predetermined stochastic resonance processing to thereby generate stochastic resonance data;
• and
• an output step of outputting the result of the predetermined stochastic resonance processing,
• wherein:
• the predetermined stochastic resonance processing is a processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the noise cut data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite equivalency.