Equaripple Digital Filter Banks Design
The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the t...
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description | The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N -1. |
doi_str_mv | 10.1109/AE.2006.4382993 |
format | Conference Proceeding |
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A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. 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A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N -1.</description><subject>Algorithm design and analysis</subject><subject>Design methodology</subject><subject>Digital filters</subject><subject>Digital signal processing</subject><subject>Filter bank</subject><subject>Finite impulse response filter</subject><subject>Mirrors</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Wavelet transforms</subject><isbn>8070434422</isbn><isbn>9788070434420</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj7FuwjAUAC0hpLaUuUOXTGxJn_3sOB4phLYSUpd2Rs_xCzIEFOJ06N-3Etxy20knxJOEQkpwL8u6UABlobFSzuFEPFRgQaPWSt2JeUoH-AcdWjD3YlFffmiIfd9xto77OFKXbWI38pC90vmYsjWnuD8_imlLXeL5zTPxvam_Vu_59vPtY7Xc5lFaM-aIniutAobA0FDJBFYztS544yg0QQYD3ljZyrZUCIaaynsjCQyTChpn4vnajcy864d4ouF3d1vBPzlGPgc</recordid><startdate>200609</startdate><enddate>200609</enddate><creator>Steinbauer, M.</creator><creator>Kubasek, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200609</creationdate><title>Equaripple Digital Filter Banks Design</title><author>Steinbauer, M. ; Kubasek, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-33be842d3dde0ca6ea074eaf9db59adcd1d50b571f1f62305ac8bb51a05ea2d43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Algorithm design and analysis</topic><topic>Design methodology</topic><topic>Digital filters</topic><topic>Digital signal processing</topic><topic>Filter bank</topic><topic>Finite impulse response filter</topic><topic>Mirrors</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Steinbauer, M.</creatorcontrib><creatorcontrib>Kubasek, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Steinbauer, M.</au><au>Kubasek, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Equaripple Digital Filter Banks Design</atitle><btitle>2006 International Conference on Applied Electronics</btitle><stitle>AE</stitle><date>2006-09</date><risdate>2006</risdate><spage>177</spage><epage>180</epage><pages>177-180</pages><isbn>8070434422</isbn><isbn>9788070434420</isbn><abstract>The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N -1.</abstract><pub>IEEE</pub><doi>10.1109/AE.2006.4382993</doi><tpages>4</tpages></addata></record> |
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subjects | Algorithm design and analysis Design methodology Digital filters Digital signal processing Filter bank Finite impulse response filter Mirrors Signal processing Signal processing algorithms Wavelet transforms |
title | Equaripple Digital Filter Banks Design |
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