System and method of noise reduction
AssigneeAeronix, Inc.
InventorSteven L. Iezzi
Life of this patent
Estimating the term…
Abstract
A method for assessing a noise reduction algorithm and subsequent training of a neural network including the steps of: (1) providing a spectrogram containing noise and at least one signal of interest to the neural network; (2) analyzing the spectrogram to create a transfer function for a noise reduction algorithm; (3) applying the noise reduction algorithm to the spectrogram to produce a noise reduced spectrogram; (4) identifying a signal of interest within the noise reduced spectrogram; (5) calculating an assessment criterion for the noise reduced spectrogram or the signal of interest; and (6) iteratively creating an updated transfer function based on a value of the assessment criteria.
Claims20
A method for assessing a noise reduction algorithm and subsequent training of a neural network comprising the steps of:
- providing a spectrogram containing noise and at least one signal of interest to the neural network;
- analyzing the spectrogram to create a transfer function for a noise reduction algorithm;
- applying the noise reduction algorithm to the spectrogram to produce a noise reduced spectrogram;
- identifying a signal of interest within the noise reduced spectrogram;
- calculating an assessment criterion for the noise reduced spectrogram or the signal of interest;
- and
- iteratively creating an updated transfer function based on a value of the assessment criteria.
A method for assessing a noise reduction algorithm and subsequent training of a neural network comprising the steps of:
- providing a spectrogram containing noise and at least one signal of interest to the neural network;
- analyzing the spectrogram to create a transfer function for a noise reduction algorithm;
- applying the noise reduction algorithm to the spectrogram to produce a noise reduced spectrogram;
- identifying a signal of interest within the noise reduced spectrogram;
- calculating an assessment criterion for the noise reduced spectrogram;
- and
- iteratively creating an updated transfer function based on a value of the assessment criteria.
A method for assessing a noise reduction algorithm and subsequent training of a neural network comprising the steps of:
- providing a spectrogram containing noise and at least one signal of interest to the neural network;
- analyzing the spectrogram to create a transfer function for a noise reduction algorithm;
- applying the noise reduction algorithm to the spectrogram to produce a noise reduced spectrogram;
- identifying a signal of interest within the noise reduced spectrogram;
- calculating an assessment criterion for the signal of interest;
- and
- iteratively creating an updated transfer function based on a value of the assessment criteria.
Dependencies are inferred from the claim text.