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.
CN1625842AInactive Publication Date: 2005-06-08GENERAL INSTR CORP
0 Cites 14 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
GENERAL INSTR CORP
Publication Date
2005-06-08
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More