Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Coefficient Vector Update Method for Scale Adaptive Filter Using Coefficient Reuse

A technology of adaptive filter and filter coefficient, which is applied in instrumentation, voice analysis, etc., and can solve problems such as difficulty in balancing steady-state misalignment and convergence speed

Inactive Publication Date: 2017-01-25
SUZHOU UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to provide a proportional adaptive filter coefficient vector update method using coefficient reuse, which solves the problem that the adaptive filter in the prior art is difficult to take into account both steady-state imbalance and convergence speed when estimating an unknown coefficient vector system. performance issues

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coefficient Vector Update Method for Scale Adaptive Filter Using Coefficient Reuse
  • Coefficient Vector Update Method for Scale Adaptive Filter Using Coefficient Reuse
  • Coefficient Vector Update Method for Scale Adaptive Filter Using Coefficient Reuse

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] 1. PAPA-RC, PAPA-VRC algorithm

[0078] like figure 1 As shown, this embodiment takes the system identification model as an example to specifically explain the improved algorithm of the present invention. Assuming that the matrix composed of the most recent P input signal vectors of the adaptive filter is U(n)(M×P), the expected response vector is d(n), and the filter coefficient vector at the rth moment is w(n-r), update The final filter coefficient vector is obtained iteratively by formula (I):

[0079] w ( n + 1 ) = 1 R Σ r = 0 R - 1 w ( n - r ) + μ G ( n ) U ( n ) ( ...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a proportional adaptive filter coefficient vector updating method using coefficient reusing. According to the method, a current filter coefficient vector and each Euclidean norm of last R filter coefficient vector differences to sum-of-squares minimization, under the constraint condition that posteriori error is zero; a diagonal distribution matrix G(n) is introduced, and diagonal elements of the matrix correspond to proportional step size of each coefficient. When the method is applied to estimating a coefficient unknown system, convergence rate is higher and stability maladjustment is lower.

Description

technical field [0001] The invention belongs to the technical field of digital signal processing, and in particular relates to a proportional adaptive filter coefficient vector updating method using coefficient reuse. Background technique [0002] Adaptive filter is a digital filter that can automatically adjust the filter coefficient vector according to the input signal for digital signal processing. Adaptive filter is one of the important branches in the field of information processing. Non-adaptive filters have static filter coefficients that together form the transfer function. For some applications, since the parameters to be operated are not known in advance, such as the characteristics of some noise signals, it is required to use adaptive coefficients for processing. In this case, an adaptive filter is usually used. Adaptive filters use feedback to adjust a vector of filter coefficients. [0003] The process of adaptation involves using the error signal to determi...

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

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G10L21/0216
Inventor 倪锦根唐学青
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products