Title :
Frequency selective adaptive time delay estimation
Author_Institution :
Signal Process. Lab., Tampere Univ., Finland
fDate :
2/1/1999 12:00:00 AM
Abstract :
A frequency-selective algorithm for time delay estimation between two channel data is proposed, and its performance is studied. The adaptive stochastic gradient scheme provides a direct estimate of the time delay. It has a low numerical complexity, and it is an alternative to data prefiltering and time delay estimation when the source and noise components have different spectral characteristics
Keywords :
FIR filters; adaptive filters; computational complexity; delay estimation; gradient methods; least mean squares methods; spectral analysis; stochastic processes; adaptive stochastic gradient scheme; frequency selective adaptive time delay estimation; numerical complexity; performance; spectral characteristics; Adaptive filters; Additive noise; Delay effects; Delay estimation; Delay lines; Finite impulse response filter; Frequency estimation; Interpolation; Least squares approximation; Stochastic resonance;
Journal_Title :
Signal Processing, IEEE Transactions on
