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14th International Symposium on Electronics and Telecommunications (ISETC)

作者： Elisei-Iliescu, Camelia Paleologu, Constantin Benesty, Jacob Stanciu, Cristian Anghel, Cristian Univ Politehn Bucuresti Dept Telecommun Bucharest Romania Univ Quebec INRS EMT Montreal PQ Canada

ISBN: (纸本)9781728189215

The recently proposed recursive least-squares (rls) algorithm for trilinear forms, namely rls-TF, was designed for the identification of third-order tensors of rank one. In this context, a high-dimension system identification problem can be efficiently addressed (gaining in terms of both performance and complexity) based on tensor decompositions and modelling. In this paper, following the framework of the rls-TF, we propose a regularized version of this algorithm, where the regularization terms are incorporated within the cost functions. Furthermore, the optimal regularization parameters are derived, aiming at attenuating the effects of the system noise. Simulation results support the performance features of the proposed algorithm, especially in terms of its robustness in noisy environments.

关键词： Adaptive filters rls algorithm regularization system identification tensor decomposition

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Fiber-optic MZI activity monitoring based on rls algorithm 18

Fiber-optic MZI activity monitoring based on RLS algorithm

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18th International Conference on Optical Communications and Networks (ICOCN)

作者： Wang, Jiayu Xu, Wei Dong, Bo Yu, Changyuan Han, Shuying Natl Univ Singapore Suzhou Res Inst Suzhou 215123 Peoples R China Chinese Acad Sci Xian Inst Opt & Precis Mech Xian Peoples R China Anlight Optoelect Technol Inc Suzhou 215123 Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Kowloon Hong Kong Peoples R China Soochow Univ Sch Elect & Informat Engn Suzhou 215006 Peoples R China

A non-invasive activity monitoring using Mach-Zehnder interferometer (MZI) is presented and recursive least square (rls) algorithm is performed to classify presence and absence activity states with accuracy higher tha... 详细信息

ISBN: (纸本)9781728127644

关键词： Activity monitoring MZI rls algorithm

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ON THE EIGENDISTRIBUTION OF THE STEADY-STATE ERROR COVARIANCE MATRIX FOR THE EXTENDED rls algorithm

ON THE EIGENDISTRIBUTION OF THE STEADY-STATE ERROR COVARIANC...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Vakili, Ali Familier, Eythan Hassibi, Babak CALTECH Dept Elect Engn Pasadena CA 91125 USA

ISBN: (纸本)9781424423538

In an earlier work [1], we used transform methods from the theory of random matrices to analytically compute the asymptotic eigendistribution of the error covariance matrix of the single-measurement rls filter. When we have a multiplicity of measurements, as happens in extended rls filtering, the analysis is much more complicated. In this paper we study the multiple measurement case and obtain a system of two Coupled equations for the Stieltjes transform of the asymptotic eigendistribution. Numerical solutions of this system very well predict the actual asymptotic eigendistribution for systems with as low as n = 10 - 20 state dimensions.

关键词： rls algorithm Kalman filter Stieltjes transform eigendistribution random matrix

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Improving the SNR of the Underwater Acoustic signal Affected by Wind Driven Ambient Noise using rls algorithm

Improving the SNR of the Underwater Acoustic signal Affected...

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International Conference on Soft Computing Techniques and Implementations (ICSCTI)

作者： Prince Mehra, Rajesh Kumar, Rajesh NITTTR Dept Elect & Commun Chandigarh UT India

ISBN: (纸本)9781467367929

In recent years, the transmission of acoustic signal underwater is a challenging task. Acoustic is the most preferred signal at low frequency because of low absorption characteristics. Acoustic signals are affected by the different background noise which is produced by the breaking waves, rainfall, marine life and flowing wind. Underwater signal transmission is highly affected by wind noise which is predominant at low frequency. To eliminate such type of noises different adaptive filter algorithm are used. In this paper rls algorithm is proposed to improve the SNR of acoustic signal. The SNR calculated for different speed samples of wind shows an average increase of 15 dB as compare to LMS. The proposed method shows that rls algorithm performs better as compared to LMS for the calculation for SNR of the underwater acoustic signal.

关键词： SNR rls algorithm MSE LMS Underwater noise

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Performances of rls algorithm for Smart Antennas in Mobile Communication System 6

Performances of RLS Algorithm for Smart Antennas in Mobile C...

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2015 International Conference on Information and Communication Technology Convergence (ICTC)

作者： Thapa, Prakash Baek, Jong-gil Jeon, Hyeji Lee, Hyejin Jeong, Min A. Lee, Seong Ro Mokpo Natl Univ Dept Elect Engn Mokpo South Korea Mokpo Natl Univ Dept Comp Engn Mokpo South Korea

ISBN: (纸本)9781467371162

The smart antennas are widely used for wireless communication because it has an ability to increase the coverage capacity of a communication system. The main purpose of the smart antenna system is the selection of smart algorithms for adaptive array. On this paper, one of the adaptive beam forming approach used in smart antennas called Recursive Least Square algorithm (rls) is presented. The efficiency of rls algorithm is compared on the basis of normalized array factor and mean square error (MSE) for mobile communication. The performance of rls algorithm is analyzed by using MATLAB software and all the simulated results are presented on this paper.

关键词： Smart Antenna Beam forming rls algorithm

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CHANNEL EQUALIZATION OF MIMO OFDM SYSTEM USING rls algorithm

CHANNEL EQUALIZATION OF MIMO OFDM SYSTEM USING RLS ALGORITHM

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3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007)

作者： Noori, Khalida Haider, Sami Ahmed Natl Univ Sci & Technol Coll Signals Rawalpindi Pakistan

ISBN: (纸本)9781424413119

This paper proposes a simple and efficient method for channel equalization of MIMO-OFDM system with channel estimation. Channel equalization of multiple inputs multiple outputs orthogonal frequency division multiplexing (MIMO-OFDM) for Rayleigh fading and AWGN channel is simulated. Temporal variations in channel are due to the Doppler spread, a sign of relative motion between transmitter and receiver. This paper evaluates performance of a MIMO OFDM system with different number of transmit and receive antennas, using different modulation schemes and at different values of signal to noise ratio (SNR). Decision feed back equalizer (DFE) is used for equalization.

关键词： MIMO OFDM DFE rls algorithm

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Self-Tuning Control with Regularized rls algorithm for Vibration Cancellation of a Circular Plate

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ARCHIVES OF ACOUSTICS 2009年第4期34卷 613-624页

作者： Leniowska, Lucyna Kos, Pawel Rzeszow Univ PL-35310 Rzeszow Poland

The self-tuning control assumes that the vibrating system is unknown and the controller procedure has the ability to identify the process and to update the necessary control law. Such an algorithm provides the relevant regulator parameters according to the obtained parametric object model. The algorithm can be described as a combination of the following two procedures: the online identification and the computation of the controller parameters. Nearly all of the identification procedures are related to the Least Squares (LS) estimate of a model output. Classified as an ill-posed problem, it implies that the obtained solution is potentially very sensitive to the data perturbations. In order to avoid such problems, the regularized version of the rls method has been considered in this paper. By solving the linear system of equations with a non-singular Sylvester matrix, the formulas for the unknown coefficients of the considered PID-type controller structure have been obtained. The results of the tests and simulations for the circular plate vibration cancellation have been also included.

关键词： self-tuning control online identification rls algorithm regularization Sylvester matrix

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Analysis on the convergence property of the sub-rls algorithm

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2001年第10期E84A卷 2591-2594页

作者： Fujii, K Muneyasu, M Hinamoto, T Tanaka, Y Fujitsu Labs Ltd Wireless Commun Syst Lab L41 Kawasaki Kanagawa 2118588 Japan Hiroshima Univ Fac Engn Higashihiroshima 7398527 Japan Himeji Inst Technol Fac Engn Himeji Hyogo 6712167 Japan

The sub-recursive least squares (sub-rls) algorithm estimates the coefficients of adaptive filter under the least squares (LS) criterion, however, does not require the calculation of inverse matrix. The sub-rls algorithm, based on the different principle from the rls algorithm, still provides a convergence property similar to that of the rls algorithm. This paper first rewrites the convergence condition of the sub-rls algorithm, and then proves that the convergence property of the sub-rls algorithm successively approximates that of the rls algorithm on the convergence condition.

关键词： sub-rls algorithm convergence condition LS algorithm rls algorithm maximum eigenvalue

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High compression rate, based on the rls adaptive algorithm in progressive image transmission

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SIGNAL IMAGE AND VIDEO PROCESSING 2021年第4期15卷 835-842页

作者： Abdollahi, Nooshin Shahtalebi, Kamal Sabahi, Mohamad Farzan Univ Isfahan Fac Engn Dept Elect Engn Esfahan Iran Univ Toronto Inst Biomed Engn Toronto ON Canada

The purpose of this paper is to develop a novel method based on recursive least squares (rls) adaptive algorithm for progressive image transmission (PIT). The image is divided into non-overlapping blocks. Having an agreed vector sequence between the transmitter and the receiver, each block is related to a regressive model. Meanwhile, at the transmitter the blocks are estimated using the rls algorithm. The high correlation between error vectors, regarding to the rls execution, causes a very high compression rate in their transmission. The error vectors at the receiver are used to run the rls algorithm and to estimate the image in a same manner. The method is easy to implement with a low computational complexity and achieves high quality, compared to other well-known methods. In comparison with its counterparts, simulation results show how efficient the proposed method is.

关键词： Progressive image transmission rls algorithm Linear regression

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CHANNEL EQUALIZATION OF MIMO OFDM SYSTEM USING rls algorithm

CHANNEL EQUALIZATION OF MIMO OFDM SYSTEM USING RLS ALGORITHM

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第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Khalida Noori Sami Ahmed Haider Electrical Engineering College of Signals National University of Sciences and Technology

This paper proposes a simple and efficient method for channel equalization of MIMO-OFDM system with channel estimation. Channel equalization of multiple inputs multiple outputs orthogonal frequency division multiplexing (MIMOOFDM) for Rayleigh fading and AWGN channel is simulated. Temporal variations in channel are due to the Doppler spread, a sign of relative motion between transmitter and receiver. This paper evaluates performance of a MIMO OFDM system with different number of transmit and receive antennas, using different modulation schemes and at different values of signal to noise ratio (SNR). Decision feed back equalizer (DFE) is used for equalization.

关键词： MIMO OFDM DFE rls algorithm

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