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Method and device for configuring full-phase filter bank through frequency response characteristic

A technology of frequency response characteristics and filter banks, applied in the direction of impedance network, digital technology network, electrical components, etc., can solve the problems of inflexible parameter configuration and large amount of calculation, and achieve accurate extraction, large stop band attenuation, and reduced effect of complexity

Inactive Publication Date: 2014-07-23
TIANJIN UNIV
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Problems solved by technology

However, the way of dividing the frequency bands of the wavelet filter bank method is fixed, that is, the average sub-band method is adopted from the upper level decomposition to the lower level decomposition, and its parameter configuration is not flexible; while multi-level decomposition means multiple filtering operation, a large amount of calculation

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  • Method and device for configuring full-phase filter bank through frequency response characteristic
  • Method and device for configuring full-phase filter bank through frequency response characteristic
  • Method and device for configuring full-phase filter bank through frequency response characteristic

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Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0030] Therefore, in order to solve the above problem of frequency band feature extraction and its flexible configuration of frequency band parameters and reduce the amount of calculation, the present invention proposes a filter bank structure and its configuration method with rapidly configurable frequency response characteristics, based on which the device is given Implementation. For details on the all-phase filter design method, refer to literature [13,14], but literature [13,14] does not involve the problem of filter banks, nor does it involve the problem of fast configuration coefficients of filters. Based on the literature [13,14], the filter bank designed by the present invention can flexibly divide the position of each frequency band of the signal, and accurately measur...

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Abstract

The invention discloses a method and device for configuring a full-phase filter bank through the frequency response characteristic. The method comprises the steps of convolving an input signal x(n) through a convolution window, adding every two multiplied data with the interval of N-1 to form N data, rapidly configuring the frequency response characteristic to Q subchannel filter coefficient vectors, obtaining the configured Q subchannel filter coefficient vectors, and carrying out multiply-accumulate on the data to obtain Q filtering output results. The device is characterized in that signals to be filtered are sampled through an analog-to-digital converter to obtain a sample sequence, the sample sequence enters a DSP device in a parallel data input mode, the filter order N, the number p of 0 and the number m of 1 in a frequency vector H are set, and Q filtering output results are obtained through processing of the DSP device. According to the method and device for configuring the full-phase filter bank through the frequency response characteristic, rapid configuration of the locations of sub-bands and the widths of the sub-bands of a filter, a filter coefficient and a frequency response function is achieved, and signal characteristics can be accurately extracted.

Description

technical field [0001] The present invention relates to the technical field of digital signal processing, in particular to a method and device for quickly and effectively building a corresponding all-phase filter bank according to provided frequency response characteristics. Background technique [0002] in voice [1] ,Troubleshooting [2] ,radar [3] , sonar, earthquake, imagery [4] , communication, control, biomedicine, remote sensing and telemetry [5] , geological exploration, aerospace, automation instrumentation [6] In other fields, there are a large number of signal feature extraction problems. A commonly used perspective of these feature extraction problems is to analyze the relative energy in each frequency band contained in the signal. For example, in speech signal recognition [7][8] Among them, the frequency band of human voice is distributed in the range of [300Hz, 3400Hz], and the voice difference of different people is reflected in the difference in energy d...

Claims

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Application Information

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IPC IPC(8): H03H17/02
Inventor 黄翔东余佳南楠吕卫
Owner TIANJIN UNIV
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