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Quadrature mirror filter

About: Quadrature mirror filter is a research topic. Over the lifetime, 955 publications have been published within this topic receiving 28900 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: A simple method of scaling based on scaling constants of individual sections of a cascade digital filter is presented, which saves much computational labor in the implementation of higher-order digital filters.
Abstract: Scaling of filter variables is central to fixed-point implementation of digital filters. A simple method of scaling based on scaling constants of individual sections of a cascade digital filter is presented. The proposed method saves much computational labor in the implementation of higher-order digital filters. Maximal amplitude expressions of second-order filter transfer functions are also presented.

4 citations

Journal ArticleDOI
TL;DR: In this article, a new approach for optimization based stable linear-phase infinite impulse response (IIR) perfect reconstruction quadrature mirror filter (PRQMF) bank design was proposed.
Abstract: In this paper, we propose a new approach for optimization based stable linear-phase infinite impulse response (IIR) perfect reconstruction quadrature mirror filter (PRQMF) bank design. To this end, the design problem is formulated using stop-band energy, stability, transition-band, pass-band and stop-band ripples requirements as constraints. Lagrange multiplier method is used for the solution of optimization-based design problem. The brief conclusion with design example that illustrates the proposed design method is presented.

4 citations

Journal ArticleDOI
TL;DR: In this article, a wavelet Wiener filter is proposed for seismic data. But the wavelet filter is time dependent to the extent that independent filters are derived at a sequence of data windows which are specified by the operator.
Abstract: This paper is concerned with differences in the frequency content of signal and noise on seismic traces. In order to develop a filter which has applicability over some considerable spatial range, special consideration is given to basic differences in the shape and the frequency content of individual signal and noise wavelets (events) on these traces. Therefore, a so-called “wavelet” Wiener filter is introduced which suppresses “noise” wavelets and enhances “signal” wavelets; this filter can be contrasted with an ordinary Wiener filter which discriminates between signal and noise on the additional basis of the statistics of the repetition of wavelets along the seismic trace. A technique for the automatic derivation of (wavelet) Wiener filters for seismic data by a digital computer is developed. The filters are time dependent to the extent that independent filters are derived at a sequence of data windows which are specified by the operator; criteria for selecting the window positions are given. The overall technique for the computer derivation of Wiener filters is demonstrated with synthetic and actual seismic data. A discussion of the wavelet Wiener filter and its relation to the ordinary Wiener filter is appended to this paper with a discussion of the effects of finite data windows on the eduction of the wavelet Wiener filter.

4 citations

Proceedings ArticleDOI
23 May 2005
TL;DR: The design of the corresponding pair of filter banks that defines (generate) these wavelets have exact linear phase which yields biorthogonal wavelets with exact symmetry.
Abstract: A Hilbert pair is defined as a pair of wavelet functions that are approximate Hilbert transform of each other. This paper presents the design of the corresponding pair of filter banks that defines (generate) these wavelets. The filters have exact linear phase which yields biorthogonal wavelets with exact symmetry. The technique is based on matching a given even-length filter bank with an odd-length filter bank. The class of THFB (triplet halfband filter bank) is utilized in the matching design. The parameteric Bernstein is used for the construction of the three kernels that define the THFB and the perfect reconstruction and vanishing moments properties are structurally imposed. A least-least squares formulation of the design problem is used and this yields good results.

4 citations

Patent
John M. Khoury1, Yan Zhou1
19 Jun 2013
TL;DR: In this article, an image rejection (IR) circuit is configured to receive a complex signal from a radio frequency (RF) mixer, where the complex signal includes an in-phase signal portion and a quadrature signal portion.
Abstract: An image rejection (IR) circuit is configured to receive a complex signal from a radio frequency (RF) mixer, where the complex signal includes an in-phase signal portion and a quadrature signal portion. This IR circuit may include: an in-phase path to remove first mismatch information from the in-phase signal portion and associated with at least one in-phase multi-tap filter; a quadrature path to remove second mismatch information from the quadrature signal portion and associated with at least one quadrature multi-tap filter; and a correlation unit to independently update each of the multiple taps of the in-phase multi-tap filter and the quadrature multi-tap filter according to a priority scheme.

4 citations

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20227
20214
20203
20197
201812