Suchergebnisse - Signed LMS adaptive algorithm

Signed-gradient adaptive step size LMS algorithm for biomedical applications von Yuzhong Jiao, Cheung, Rex Y. P., Chow, Winnie W. Y., Mok, Mark P. C.

“… Simulation results demonstrate that though the signed-gradient adaptive step size LMS algorithm converges at a slower rate at the early stage of iteration, it has a smaller mean squared error (MSE) at the stage of convergence, thus achieves a higher SNR …”
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Analysis of adaptive filters using normalized signed regressor LMS algorithm von Koike, S.

“… In this paper, adaptive filters using the normalized signed regressor LMS algorithm (NSRA …”
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Multistage Switched Adaptive Filtering Approach for Denoising Speech Signals of Parkinson’s Disease-affected Patients von Hannah Pauline, S., Dhanalakshmi, Samiappan, Kumar, R., Narayanamoorthi, R., Lai, Khin Wee

“… This paper introduces an optimal adaptive filter structure using a signed LMS algorithm to compute the best estimate of a clean signal …”
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Power series neural network solution for ordinary differential equations with initial conditions von Haweel, Tarek I., Abdelhameed, Tarek N.

“… This paper presents new nonlinear adaptive numeric solutions for ordinary differential equations (ODE …”
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Adaptive Denoising of Images using Single Layer Neural Network and Normalized Signed Regressor LMS Algorithm von Sarangi, Sunita, Rath, Nrusingha Prasad, Kumar Sahoo, Harish

“… The proposed FLANN structure is trained by Normalised Signed Regressor LMS Algorithm (NSRA). The denoising model uses a second-order difference operator and median filtering that work on only degraded pixels …”
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Effects of Impulse Noise at Filter Input on Performance of Adaptive Filters Using the LMS and Signed Regressor LMS Algorithms von Koike, S.

“… To study adverse, or favorable, effects of such impulse noise on adaptive filter performance, we develop transient and steady-state analysis of adaptive filters using the LMS algorithm (LMSA …”
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Analysis and design of a signed regressor LMS algorithm for stationary and nonstationary adaptive filtering with correlated Gaussian data von Eweda, E.

“… A least mean square (LMS) algorithm with clipped data is studied for use when updating the weights of an adaptive filter with correlated Gaussian input …”
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Stochastic Analysis of the Signed LMS Algorithms for Cyclostationary White Gaussian Inputs von Eweda, Eweda, Bershad, Neil J.

“… This paper studies the stochastic behavior of the signed variants of the LMS algorithm for a system identification framework when the input signal is a cyclostationary white Gaussian process …”
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Transient Analysis of Signed LMS Algorithms With Cyclostationary Colored Gaussian Inputs von Gao, Wei, Chen, Jie

“… It is of significant importance to investigate the transient behaviors of signed LMS algorithms under the cyclostationary colored Gaussian inputs for the design of corresponding filters in practical applications …”
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Adaptive Filtering With Reduced Computational Complexity Using SOPOT Arithmetic von Coelho, Luiz Felipe da Silveira, Lovisolo, Lisandro, Tcheou, Michel Pompeu

“… Implementing finite impulse response (FIR) adaptive filters by employing the sums of signed-powers-of-two (SOPOT …”
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Performance of soft limiters in the LMS algorithm for cyclostationary white Gaussian inputs von Bershad, Neil J., Eweda, Eweda, Bermudez, Jose C.M.

“… The analysis of saturation-type nonlinearities on the input and the error in the weight update equation for LMS adaptation were obtained for a stationary white Gaussian data model in [28 …”
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Diffusion Signed LMS Algorithms and Their Performance Analyses for Cyclostationary White Gaussian Inputs von Wang, Wenyuan, Zhao, Haiquan

“… As one of the signed variants of the diffusion least mean square (DLMS) algorithm over networks, the diffusion sign error algorithm has been presented in previous reference …”
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Avoiding global congestion using decentralized adaptive agents von Bell, A.M., Sethares, W.A.

“… A simple adaptive strategy similar to many signal processing algorithms such as LMS and its signed …”
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A Division-Free and Variable-Regularized LMS-Based Generalized Sidelobe Canceller for Adaptive Beamforming and Its Efficient Hardware Realization von Zhao, W., Lin, J. Q., Chan, S. C., So, H. K.-H.

“… A new variable step-size least mean squares algorithm for complex input is proposed to further improve the convergence and the steady-state performance of the adaptive beamformer …”
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Convergence analysis of adaptive filtering algorithms with singular data covariance matrix von Eweda, E.

“… The analysis is done in the context of adaptive plant identification. The considered algorithms are LMS, RLS, sign (SA …”
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Low-Power, High-Throughput, and Low-Area Adaptive FIR Filter Based on Distributed Arithmetic von Park, Sang Yoon, Meher, Pramod Kumar

“… This brief presents a novel pipelined architecture for low-power, high-throughput, and low-area implementation of adaptive filter based on distributed arithmetic (DA …”
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Transient performance degradation of the LMS, RLS, sign, signed regressor, and sign-sign algorithms with data correlation von Eweda, E.

“… The algorithms are least mean square (LMS), recursive least squares (RLS), sign (SA), signed regressor (SRA), and sign-sign (SSA). Analysis is performed for adaptive plant identification with stationary Gaussian inputs …”
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Asymptotic analysis of stochastic gradient-based adaptive filtering algorithms with general cost functions von Sharma, R., Sethares, W.A., Bucklew, J.A.

“… This paper presents an analysis of stochastic gradient-based adaptive algorithms with general cost functions …”
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A block floating-point treatment to the LMS algorithm: efficient realization and a roundoff error analysis von Mitra, A., Chakraborty, M., Sakai, H.

“… An efficient scheme is presented for implementing the LMS-based transversal adaptive filter in block floating-point (BFP …”
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Area and Energy-efficient Approximate Distributive Arithmetic architecture for LMS Adaptive FIR Filter von Vinitha, C.S., Sharma, R.K.

“… A novel approximate DA architecture is proposed for adaptive FIR filter. LMS algorithm is used to update the weights of the filter …”
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