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Random Sampling Method Based on Information Distribution Pattern

A distribution model, random sampling technology, applied in genetic models, random number generators, genetic laws, etc., can solve problems such as Nyquist sampling aliasing

Active Publication Date: 2021-09-07
中科观世(北京)科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the practice of "compressed sampling" theory, it is found that Nyquist sampling in "compressed sampling" will still follow the law of sampling theorem and appear "aliasing" phenomenon

Method used

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  • Random Sampling Method Based on Information Distribution Pattern
  • Random Sampling Method Based on Information Distribution Pattern
  • Random Sampling Method Based on Information Distribution Pattern

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] Embodiment 1: Spectrum analysis of audio signal

[0074] For a piece of audio signal, when the signal distribution mode is unknown, first use the sampling points of various distribution modes of the Y distribution to conduct sampling experiments, and at the same time apply the Nyquist sampling points for sampling, and then pass the Y distribution mode The sampling is compared with the reconstructed original signal information features of the Nyquist pattern sampling. Through experiments: when the Nyquist sampling rate is 44.1KHz, a high-fidelity sound effect can be obtained; and when the same sound effect is sampled in the Y distribution mode, the normal distribution 15 sampling rate only needs 400Hz to obtain the same sound effect as the Nyquist When the Qwest sampling rate is 44.1KHz, the data set whose distortion error is less than 0.3%. The normal distribution15 in the Y distribution mode produced the solution with the highest fitness, which we exported, obtained a...

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Abstract

Random sampling method based on information distribution pattern. A method of adaptively establishing random sampling points with similar distribution characteristics to the original signal distribution to collect the original signal. The method is mainly composed of a signal acquisition module (1), a signal sensor (5), a FIFO module (8), a random data generation module (9), a computer (10), a Y distribution module (12) and a signal analysis module (13) . When the sound bandwidth is 22.05KHz, the Nyquist sampling rate needs to be 44.1KHz to completely reconstruct the original sound; however, when the original sound is reconstructed by sampling in the normal distribution mode, only a sampling frequency of 400Hz is required to obtain an error of less than 0.3%. sound effects. When the same signal resolution is obtained by sampling in the Y distribution mode and sampling in the Nyquist mode, the amount of data sampled in the Y distribution mode can be greatly compressed.

Description

technical field [0001] The invention belongs to the technical field of signal detection and information acquisition, in particular to a pseudo-random sampling technology established based on information distribution. Background technique [0002] Sampling is the mathematical method of converting a signal of interest into a sequence of values. The collection point where the target signal data is collected at the corresponding time is called the sampling point, the sampling process of the sample is called sample sampling, and the signal value of each sample is called a sampling sample; the time gap between two sampling points is called the sampling interval ;The time interval of signal sampling is very small, which can be on the order of milliseconds, microseconds or even nanoseconds; the time function of the sampling point is x(t), and the signal value collected at the sampling point is the signal level, through analog / digital conversion , to convert an analog signal level v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03M1/12G06F7/58G06N3/12
CPCG06F7/588G06N3/126H03M1/128
Inventor 姚萌苏勇飞叶征宇
Owner 中科观世(北京)科技有限公司
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