Predictive digital filtering of sinusoidal signals

Author

Händel, Peter

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

46

Issue

2

fYear

1998

fDate

2/1/1998 12:00:00 AM

Firstpage

364

Lastpage

374

Abstract

The p-step ahead predictive filters for narrowband waveforms with m distinct spectral peaks are considered. By minimization of the noise gain, the coefficients of the optimal Lth order FIR predictor is derived, where L>2m-1. The minimum-length FIR predictor is given by L=2m-1, and the feedback extension of this predictor is studied. Design of feedback gains subject to different optimization criteria is studied in detail. The generalization to complex-valued signals, cascaded predictors, and adaptive predictors are also included. Several design and simulation examples are presented

Keywords

FIR filters; adaptive filters; adaptive signal processing; cascade networks; circuit feedback; digital filters; filtering theory; prediction theory; FIR predictor; adaptive predictors; cascaded predictors; coefficients; complex-valued signals; feedback extension; feedback gains; filter design; minimum-length FIR predictor; narrowband waveforms; noise gain minimization; optimal order FIR predictor; optimization criteria; p-step ahead predictive filters; predictive digital filtering; simulation; sinusoidal signals; spectral peaks; Design optimization; Digital filters; Feedback; Filtering; Finite impulse response filter; Frequency estimation; IIR filters; Narrowband; Polynomials; Signal processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.655422

Filename

655422