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Multiple sampling rates string interference resistant array signal noise-removing method

An array signal, multi-sampling rate technology, applied in the field of array signal denoising, can solve problems such as small application range, music noise, and voice signal intelligibility decline

Inactive Publication Date: 2005-10-19
曾庆宁
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But there will be a fatal "music noise" problem, which will cause the intelligibility of the speech signal after the noise reduction to decrease, which is even unacceptable. Moreover, it is only suitable for a stable noise environment, and the scope of application is small.

Method used

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  • Multiple sampling rates string interference resistant array signal noise-removing method
  • Multiple sampling rates string interference resistant array signal noise-removing method
  • Multiple sampling rates string interference resistant array signal noise-removing method

Examples

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Embodiment Construction

[0053] figure 1 is a schematic diagram of the two-stage array anti-crosstalk adaptive noise cancellation method, where x 0 The digital signal picked up by the main sensor, x 1 , x 2 ,Λ,x N is the digital signal picked up by the reference sensor, A and B are the first-stage and second-stage filters respectively, y 1 、y 2 are the outputs of filters A and B respectively, and e 1 =x 0 -y 1 , e 2 =x 0 -y 2 .

[0054] In order to verify the effectiveness of this method, a non-limiting example of the present invention and its specific test results are given below. In this test, the miniature microphone array is only composed of two small button-sized microphones with a center distance of 2cm. The sampling rate of the main microphone signal is 8KHz, and the sampling rate of the reference microphone signal is 24KHz. The voice is real voice. In the test", the noise is the noise when the radio is out of tune (it is broadband noise). There is more than 1.5 seconds of pure nois...

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Abstract

The system comprises a remote image receiving service center and a mobile communication handset with a pick-up head. Method for receiving remote on site images includes following steps: (1) user register the mobile communication handset with a pick-up head to the remote image receiving service center, and unique id code is stored to database in computer; (2) when on site images is needed to transfer to remote receiving service center, user dials dedicated line telephone of the said center through registered mobile phone; (3) with information dialed from the registered phone being received, the center discriminates unique id code of incoming call and puts the on site phone through; (4) pick-up head starts to take on site images, and the hand set sends on site images to the remote image receiving service center; (5) the said center receives and processes the remote on site images, and sorts on site images to relevant fold according to unique id code of handset of incoming call.

Description

(1) Technical field: [0001] The invention relates to signal processing and identification, in particular to an array signal denoising method. (two) background technology: [0002] Signal denoising has important application value in the fields of communication and signal recognition. Among many signal denoising methods, Adaptive Noise Cancellation (ANC for short) can adapt to various noise environments and has little damage to signals, so it can be said to be the most important signal denoising method. In recent years, researchers have found that the actual noise cancellation performance of the ANC noise cancellation system based on two sensors is quite limited, especially in the case of broadband noise. To improve the noise cancellation effect, it is often obtained by increasing the number of sensors to form an array , and has achieved many research results in the field of array signal denoising. [0003] The performance of array signal denoising generally increases with t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B3/23H04B1/10H04B15/00H04M9/08H04R3/02
Inventor 曾庆宁
Owner 曾庆宁
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