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
fDate :
11/1/2001 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on