Title :
Predictive interpolation and decimation of narrow-band signals
Author :
Vainio, Olli ; Väliviita, Sami
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
fDate :
10/1/1999 12:00:00 AM
Abstract :
A digital filter design and optimization method for sampling rate alteration of narrow-band signals is presented. The resulting predictive finite-duration impulse-response filters are used to remove the aliasing or imaging frequency components when the sampling rate is changed. The sampling rate can be changed either by an integer factor or a rational factor. A least-squares-based generalization is developed for optimal wide-band noise attenuation
Keywords :
IIR filters; circuit optimisation; digital filters; interpolation; least squares approximations; signal processing equipment; aliasing components removal; digital filter design; digital filter optimization method; imaging frequency components removal; integer factor; least-squares-based generalization; narrow-band signals; optimal wide-band noise attenuation; predictive decimation; predictive finite-duration impulse-response filters; predictive interpolation; rational factor; sampling rate alteration; Attenuation; Design methodology; Digital filters; Frequency; Interpolation; Narrowband; Optimization methods; Sampling methods; Signal design; Wideband;
Journal_Title :
Industrial Electronics, IEEE Transactions on
