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

Simplified weighted repeat pseudo-median filtering method with negative coefficients

A technology of negative coefficients and coefficients is applied in the field of simplified weighted repeated pseudo-median filtering with negative coefficients, which can solve the problems of lack of universal filtering methods, complicated calculation, and unsuitable for low-end hardware platform applications.

Inactive Publication Date: 2014-09-17
CENT SOUTH UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Other methods with relatively good performance are computationally complex and are not suitable for application on such low-end hardware platforms as used by WSN nodes.
However, there is still a lack of universal filtering methods for signal processing on low-end hardware platforms such as WSN nodes.

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
  • Simplified weighted repeat pseudo-median filtering method with negative coefficients
  • Simplified weighted repeat pseudo-median filtering method with negative coefficients
  • Simplified weighted repeat pseudo-median filtering method with negative coefficients

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] In a simplified weighted repeated pseudo-median filtering method with negative weighting coefficients of the present invention, two parameters need to be determined first, namely, the output weight coefficient ω and the slope weight coefficient In the present invention, these two weight coefficients are both integers.

[0048] The output weight coefficient is determined by the frequency selection characteristics of the filter, and it needs to be designed with a high-pass and band-pass response of the same order FIR filter coefficient h. First, according to the MALLOWS synthesis method, the coefficient h of the target FIR filter is decomposed into the sign term sign and its absolute value term p. Then use the feature of left-right symmetry of FIR coefficients to design the corresponding weighted repeated pseudo median filter weights. First, since the FIR coefficient at the center position is the largest, the weight range of the center corresponding to the weight coefficien...

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 simplified weighted repeat pseudo-median filtering method with negative coefficients. The method comprises the following steps: taking the frequency response characteristics of an approximation same-order finite impulse response (FIR) filter as an objective, designing weighting coefficients containing negative numbers for weighted pseudo-median computation of filtering window data by an MALLOWS comprehensive method, adjusting the window data by the weighting coefficients; simultaneously, computing weighting coefficients based on the slopes of a group of special structures designed for the filter, computing the overall slope of the window data repeatedly by the weighted pseudo median, carrying out linear transformation on the window data by the slope; and finally carrying out weighted computation on the transformed data by the pseudo-median weighting coefficients to obtain the output value of weighted repeat pseudo-median filtering. The method realizes a better frequency selection characteristic than that of the existing negative coefficient weighted median or pseudo-median filtering method, and simplifies computation in the algorithm to meet the requirement of systems with finite resources, such as a wireless sensor and the like for low power consumption.

Description

Technical field [0001] The invention relates to a simplified weighted repeated pseudo median filtering method with negative coefficients. Background technique [0002] Median filtering is a very simple and practical nonlinear filtering method, which can not only remove or reduce random noise and impulse interference, but also effectively retain the edge change information of the signal. The current improved methods of median filtering are mainly for two-dimensional image signal processing. For non-image signal processing such as vibration signals, biomedical signals, and voice signals that need to meet certain real-time requirements, because they have more performance (such as frequency band, speed, power consumption, etc.) for non-linear filtering technologies such as median filtering. ) Requirements are significantly different from the processing requirements for image signals, especially for low-power microcontrollers such as wireless sensor networks (WSN) with limited hardwa...

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): H03H17/02G06F7/22G06F7/544
Inventor 刘少强陈磊樊晓平李勇周洪丹龙谭宗凯
Owner CENT SOUTH 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