Digital signal processing method and system

A digital signal processing and digital signal technology, applied in character and pattern recognition, signal pattern recognition, instruments, etc., can solve problems such as difficult to find filters, simplify the preprocessing process, and meet the needs of digital signal processing Effect

Active Publication Date: 2019-10-22
上海点积实业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In related technologies, the preprocessing of digital signals, such as the restoration, enhancement and denoising of digital signals, is generally processed by filters. H

Method used

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  • Digital signal processing method and system
  • Digital signal processing method and system
  • Digital signal processing method and system

Examples

Experimental program
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Example Embodiment

[0081] Example one

[0082] Figure 2A It is a flowchart of step S104 in the digital signal processing method of an embodiment of the present invention.

[0083] Such as Figure 2A As shown, in one embodiment, preferably, the above step S102 includes: using a preset type of deep convolutional neural network model to denoise the digital signal;

[0084] Step S104 includes:

[0085] Step S201: Obtain a first training sample signal set. The first training sample signal set includes multiple sets of training sample signals. Each set of training sample signals includes a standard digital signal and an input digital signal. The input digital signal is superimposed with a standard digital signal and a random Gaussian. Noise signal

[0086] Among them, the standard digital signal can be different types of waveforms, such as square waves, sine waves or other arbitrary waveforms. The random Gaussian noise signal may be randomly generated and stored in a predetermined storage space, or a list of...

Example Embodiment

[0114] Example two

[0115] Figure 5 It is a flowchart of step S104 in a digital signal processing method according to another embodiment of the present invention.

[0116] Such as Figure 5 As shown, in one embodiment, preferably, the above step S102 includes: using a preset type of deep convolutional neural network model to perform signal restoration on the digital signal;

[0117] The above step S104 includes:

[0118] Step S501: Obtain a second training sample signal set. The second training sample signal set includes multiple sets of training sample signals. Each set of training sample signals includes an original signal and a digital conversion signal. The digital conversion signal is converted from the original signal through a predetermined conversion method. get;

[0119] Wherein, when the second training sample signal set is generated, the signal generation program can be called from the second predetermined storage space, multiple original signals generated by the signal ge...

Example Embodiment

[0126] Example three

[0127] Image 6 It is a flowchart of step S104 in a digital signal processing method according to another embodiment of the present invention.

[0128] Such as Image 6 As shown, in one embodiment, preferably, the above step S102 includes: using a preset type of deep convolutional neural network model to perform phase restoration on the digital signal;

[0129] The above step S104 includes:

[0130] Step S601: Obtain a third training sample signal set. The third training sample signal set includes multiple sets of training sample signals. Each set of training sample signals includes an original digital signal and a phase-shifted digital signal. The phase-shifted digital signal is processed by the original digital signal. The phase shift is obtained;

[0131] Among them, when generating the third training sample signal set, the signal generation program can be called from the third predetermined storage space to obtain multiple original digital signals generated b...

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Abstract

The invention discloses a digital signal processing method and system. The method comprises the following steps: receiving a digital signal to be processed; performing corresponding preprocessing operation on the digital signal by using a preset type of deep convolutional neural network model to obtain a processed digital signal; and outputting the processed digital signal. Through the technical scheme, signal processing does not need to be carried out through multiple filters, signal processing can be achieved only through the deep convolutional neural network model, the deep convolutional neural network model can contain all the effects of using the filters, and therefore the preprocessing process of digital signals is simplified.

Description

technical field [0001] The present invention relates to the technical field of deep learning algorithms, and more specifically, to a digital signal processing method and system. Background technique [0002] In the related art, for the preprocessing of digital signals, such as the restoration, enhancement and denoising of digital signals, filters are generally used for processing. However, when using filters for processing, each filter can only solve part of the problem, so , may require dozens of filters, and it is difficult to find a universal filter. Contents of the invention [0003] In view of the above problems, the present invention proposes a digital signal processing method and a digital signal processing system, which can process digital signals through a deep convolutional neural network model, and the deep convolutional neural network model can integrate all Effects are included to simplify pre-processing of digital signals. [0004] According to a first aspe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/045G06F2218/04
Inventor 夏广武杨建
Owner 上海点积实业有限公司
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