NDLI: Performance analysis of adaptive IIR notch filters based on least mean p-power error criterion

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Classification of BPSK and QPSK signals with unknown signal level using the Bayes technique

Jointly minimum symbol error rate FIR MIMO transmitter and receiver filters for PAM signal vectors

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Implementing Otsu's thresholding process using area-time efficient logarithmic approximation unit

Steady-state properties of the sign algorithm for the constrained adaptive IIR notch filter

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Concise representation and cellular structure for universal maximally flat FIR filters

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Filter structures for decimation: a comparison

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Allpass structures for multiplierless realization of recursive digital filters

Joint optimization of error feedback and coordinate transformation for roundoff noise minimization in state-space digital filters

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Pairing and ordering to reduce hardware complexity in cascade form filter design [digital filters]

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Local discriminant basis algorithm-a review of theory and applications in signal processing

Next cancellation in xDSL systems using variable-length cancellers

Norm and coefficient constraints for robust adaptive beamforming

Integrated active noise control communication headsets

Minimum selection GSC and adaptive low-power rake combining scheme

Adaptive IIR notch filter with controlled bandwidth for narrow-band interference suppression in DS CDMA system

A finite precision LMS algorithm for increased quantization robustness

A new LMS-based Fourier analyzer in the presence of frequency mismatch

Transform domain approximate QR-LS adaptive filtering algorithm

Performance analysis of adaptive IIR notch filters based on least mean p-power error criterion

RAMP: an adaptive filter with links to matching pursuits and iterative linear equation solvers

Extended RLS lattice adaptive filters

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Turbo coded multiple symbol differential detection for correlated Rayleigh fading channel

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Polyphase IIR filter banks for subband adaptive echo cancellation applications

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Simplified structures for two-dimensional adaptive notch filters

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Evidence updating in a heterogeneous sensor environment

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Power dissipation limits and large margin in wireless sensors

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Performance analysis of adaptive IIR notch filters based on least mean p-power error criterion

Content Provider	IEEE Xplore Digital Library
Author	Shadaydeh, M. Kawamata, M.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Tohoku Univ., Sendai, Japan (Shadaydeh, M.; Kawamata, M.)
Abstract	In this paper, we present the steady state analysis of adaptive IIR notch filters based on the least mean p-power error criterion. We consider the cases when the sinusoidal signal is contaminated with white Gaussian noise and p=3, 4. We first derive two difference equations for the convergence of the mean and the mean square error (MSE) of the adaptive filter's notch coefficient, and then give the steady state estimation bias and MSE. Stability conditions on the step size value are also derived. Simulation experiments are presented to confirm the validity of the obtained analytical results. It is shown that the notch coefficient steady state bias of the p-power algorithm for small step size values is independent of the step size value and is equal for p=1, 2, 3 and 4. However, for larger step size values, the p-power algorithm with p=3 provides the best performance in term of the MSE.
Sponsorship	IEEE Circuits & Syst. Soc Mahanakorn Univ. Technol
File Size	327199
File Format	PDF
ISBN	0780377613
DOI	10.1109/ISCAS.2003.1205852
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-25
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Adaptive filters IIR filters Steady-state Gaussian noise Difference equations Convergence Mean square error methods State estimation Stability
Content Type	Text
Resource Type	Article

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