Title :
Minimum-phase FIR filters for delay-constrained noise reduction
Author_Institution :
Signal Precessing Lab., Tampere Univ., Finland
fDate :
12/1/1999 12:00:00 AM
Abstract :
A flexible method of reducing white noise in measurement signals by means of real-time digital filtering is presented. Compared to the widely used averaging filter, the new approach significantly reduces the delay of the step response of a filter, measured typically al the 50% level of the full step. The optimum filter coefficients are obtained analytically as a function of a single weighting parameter
Keywords :
FIR filters; delays; digital filters; real-time systems; white noise; delay-constrained noise reduction; measurement signals; minimum-phase FIR filters; optimum filter coefficients; real-time digital filtering; single weighting parameter; step response; white noise; Attenuation; Control systems; Delay effects; Digital filters; Finite impulse response filter; Noise measurement; Noise reduction; Propagation delay; Time measurement; White noise;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
