Results 161 to 170 of about 20,755 (208)

Fixed-Point Implementation of Fast QR-Decomposition Recursive Least-Squares Algorithms (FQRD-RLS): Stability Conditions and Quantization Errors Analysis

Circuits, Systems, and Signal Processing, 2012
The fast QR-decomposition based recursive least-squares (FQRD-RLS) algorithms offer RLS-like convergence and misadjustment at a lower computational cost, and therefore are desirable for implementation on a fixed-point digital signal processor (DSP). Furthermore, the FQRD-RLS algorithms are derived from QR-decomposition based RLS algorithms that are ...
Mobien Shoaib, Saleh Alshebeili
openaire   +1 more source

ANALISA KINERJA FILTER ADAPTIF ALGORITMA RECURSIVE LEAST SQUARE (RLS) PADA SISTEM PENGENALAN UCAPAN MENGGUNAKAN HIDDEN MARKOV MODEL (HMM) [PDF]

, 2016
Sistem pengenalan ucapan memungkinkan suatu mesin dapat menerima masukan berupa sinyal ucapan dan mengenali ucapan tersebut. Pengenalan ucapan pada lingkungan tenang memiliki akurasi yang baik, tetapi menurun secara signifikan pada lingkungan berderau. Derau dapat merusak sinyal ucapan, sehingga menyebabkan kesalahan pengenalan sinyal ucapan.
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Variable recursive least square algorithm for online battery equivalent circuit model parameters identification for electric vehicles

Electrical Engineering, 2023
Mouncef El marghichi, Azeddine Loulijat, Issam El Hantati   +2 more
semanticscholar   +1 more source

Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal

IEEE Transactions on Industry Applications, 2012
Signal estimation is important for protection, system study and control purposes. This paper deals with the application of a Recursive Least Square (RLS) algorithm with variable forgetting factor for estimation of frequency components in a generic input signal.
Mebtu Beza, Massimo Bongiorno
openaire   +1 more source

A systolic array for recursive least squares computations: mapping directionally weighted RLS on an SVD updating array

IEEE Transactions on Signal Processing, 1996
A systolic algorithm/array is described for recursive least squares (RLS) estimation, which achieves an O(n/sup 0/) throughput rate with O(n/sup 2/) parallelism. The array is also useful for several other applications, such as, e.g., SVD updating and Kalman filtering.
openaire   +1 more source

Adaptive recursive least‐squares maximum‐likelihood sequence estimation with higher‐order state variable model of radio channels—adaptive performance improvement of rls‐mlse

Electronics and Communications in Japan (Part I: Communications), 1993
AbstractSuperior tracking performance for fast fading mobile radio channels is obtained by extending channel models used in the adaptive recursive least squares maximum likelihood sequence estimation (RLS‐MLSE) derived from the theory of maximum likelihood signal estimation.
Kazuhiko Fukawa, Hiroshi Suzuki
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An Efficient, RLS (Recursive-Least-Squares) Data-Driven Echo Canceller for Fast Initialization of Full-Duplex Data Transmission,

1985
Abstract : Computationally efficient Recursive-Least-Squares (RLS) procedures are presented specifically for the adaptive adjustment of the Data-Driven Echo Cancellers (DDECs) that are used in voiceband full-duplex data transmission. The methods are shown to yield very short learning times for the DDEC while they also simultaneously reduce ...
T. Kailath, J. M. Cioffi
openaire   +1 more source

Adaptive forgetting factor recursive least squares adaptive threshold nonlinear algorithm (RFF-RLS-ATNA) for identification of nonstationary systems

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
The recursive least squares (RLS) adaptive algorithm is combined with the "adaptive threshold nonlinear algorithm" (ATNA) proposed by the author (Koike, S., IEEE Trans. Sig. Processing, vol.45, p.2391-5, 1997), to derive RLS-ATNA, resulting in improvement of the convergence rate of the ATNA that offers robust adaptive filters in impulse noise ...
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Neural Networks Training Based on Recursive Least Squares (RLS)

2022
Ardashir Mohammadzadeh, Mohammad Hosein Sabzalian, Oscar Castillo, Rathinasamy Sakthivel, Fayez F. M. El-Sousy, Saleh Mobayen   +5 more
openaire   +1 more source

Application of Recursive Least Square (RLS) algorithm with variable forgetting factor for frequency components estimation in a generic input signal

European Conference on Cognitive Ergonomics, 2012
M. Beza, M. Bongiorno
semanticscholar   +1 more source