DocumentCode :
1560129
Title :
Optimal algebraic integer implementation with application to complex frequency sampling filters
Author :
Meyer-Bäse, U. ; Taylor, F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida State Univ., Tallahassee, FL, USA
Volume :
48
Issue :
11
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
1078
Lastpage :
1082
Abstract :
Algebraic integers have been proven beneficial to discrete Fourier transform, discrete cosine transform, and nonrecursive finite-impulse response filter designs since algebraic integers can be dense in C , resulting in short-word-width, high-speed designs. This work uses another property of algebraic integers; namely, algebraic integers can produce exact pole zero cancellation pairs that are used in recursive complex finite-impulse response, frequency sampling filter designs
Keywords :
FIR filters; digital arithmetic; filtering theory; poles and zeros; polynomials; recursive filters; FIR frequency sampling filter designs; algebraic integer filters; complex frequency sampling filters; digital filters; exact pole zero cancellation pairs; finite-impulse response filter designs; high-speed designs; optimal algebraic integer implementation; recursive complex filter designs; Convolution; Discrete Fourier transforms; Discrete cosine transforms; Filters; Frequency; Modules (abstract algebra); Poles and zeros; Polynomials; Sampling methods; State feedback;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7130
Type :
jour
DOI :
10.1109/82.982368
Filename :
982368
Link To Document :
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