Title :
Circulant and skew-circulant matrices as new normal-form realization of IIR digital filters
Author :
Liu, Vincent C. ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
6/1/1988 12:00:00 AM
Abstract :
Normal-form fixed-point state-space realization of IIR (infinite-impulse response) filters are known to be free from both overflow oscillations and roundoff limit cycles, provided magnitude truncation arithmetic is used together with two´s-complement overflow features. Two normal-form realizations are derived that utilize circulant and skew-circulant matrices as their state transition matrices. The advantage of these realizations is that the A-matrix has only N (rather than N2) distinct elements and is amenable to efficient memory-oriented implementation. The problem of scaling the internal signals in these structures is addressed, and it is shown that an approximate solution can be obtained through a numerical optimization method. Several numerical examples are included
Keywords :
digital arithmetic; digital filters; matrix algebra; sensitivity analysis; state-space methods; IIR digital filters; circulant matrices; eigenvalue sensitivity measure; fixed-point state-space realization; infinite-impulse response; internal signal scaling; magnitude truncation arithmetic; noise analysis; normal-form realization; numerical optimization method; skew-circulant matrices; state transition matrices; two´s-complement overflow features; Convolution; Digital filters; Eigenvalues and eigenfunctions; Finite wordlength effects; Hardware; IIR filters; Limit-cycles; Nonlinear filters; Quantization; Signal processing algorithms;
Journal_Title :
Circuits and Systems, IEEE Transactions on