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An adaptive threshold algorithm for real-time wavelet de-noising applications

A technology of threshold and wavelet coefficients, which is applied in special data processing applications, calculations, modulated carrier systems, etc., can solve the problems of noise and clutter, unreliable real-time signal processing applications, etc.

Inactive Publication Date: 2005-06-08
GENERAL INSTR CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with many systems of this type is detecting the presence of noise and clutter in the received signal and extracting information from the detected received signal with minimal loss due to noise and clutter
From these points of view, the local and global statistics can be considered suboptimal and can be very unreliable for real-time signal processing applications

Method used

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  • An adaptive threshold algorithm for real-time wavelet de-noising applications
  • An adaptive threshold algorithm for real-time wavelet de-noising applications
  • An adaptive threshold algorithm for real-time wavelet de-noising applications

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Embodiment Construction

[0023] The following detailed description describes preferred embodiments only, and is not intended to limit the scope, applicability, or configuration of the invention. Of course, the following detailed description of the exemplary preferred embodiment will provide those skilled in the art with an enabling description for implementing the preferred embodiment of the invention. It being understood that various changes may be made in the function and arrangement of elements within the essential scope of the invention as described in the appended claims.

[0024] figure 1 is a block diagram of a denoising circuit 10 for use in a signal processor of a receiver according to a preferred embodiment of the present invention. The denoising circuit 10 includes: a demodulator 15 , a discrete wavelet transform (DWT) 12 , a filter 13 , an inverse discrete wavelet transform (IDWT) 14 and a threshold circuit 20 . Noise reduction circuit 10 may be used in any type of system (ie, communicat...

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Abstract

The invention discloses a method and system for extracting information from a received signal with the minimum loss due to noise. The system includes: a converter for correlating the received signal with a wavelet function and generating wavelet decomposition coefficients; and a threshold circuit, responsive to the received signal, for applying a predetermined threshold based on the type of signal. The system also includes a filter connected to the transformer and a threshold circuit for altering the wavelet decomposition coefficients produced by the transformer using a threshold applied by the threshold circuit to produce altered wavelet coefficients from which The reduced noise reconstructs the received signal.

Description

technical field [0001] The present invention relates generally to receiving systems. More specifically, the present invention relates to a signal processor for real-time wavelet de-noising applications in receiver systems. Background technique [0002] Communication systems, radar systems, sonar systems, etc. have a receiver for detecting the presence of a particular signal and a signal processor for extracting the information sent in that signal. A problem with many systems of this type is detecting the presence of noise and clutter in the received signal and extracting information from the detected received signal with minimal loss due to the noise and clutter. [0003] Current systems employ denoising methods in the signal processor within the receiver. In particular, current systems use wavelet techniques for denoising the received signal. The denoising process exploits important properties of wavelets, including multiple resolution capabilities and good reconstructio...

Claims

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Application Information

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IPC IPC(8): H03H17/02H04B1/10H04L27/00
CPCG06F17/148H04B1/1036H04L27/0004H04B1/06H04B1/10
Inventor 帕特里克·D·斯密斯罗伯特·吾斯卡尔威廉姆·C·哈特
Owner GENERAL INSTR CORP
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