A weighted <mml:math altimg="si221.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-based method for the design of arbitrary one-dimensional FIR digital filters-Reference-Cited by-同舟云学术

A weighted L2-based method for the design of arbitrary one-dimensional FIR digital filters

Author:

Psarakis Emmanouil Z.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference28 articles.

2. Complex Chebyshev approximation for FIR filter design;Karam;IEEE Trans. Circuits Systems II: Analog Digital Signal Process.,1995

3. Design of FIR filters in the complex domain;Chen;IEEE Trans. Acoust. Speech Signal Process.,1987

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