Title :
Predictive digital filtering of sinusoidal signals
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
fDate :
2/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
