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Showing 1 to 20 of 24 for “"Least-mean square (LMS)"”.
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Perfect Reconstruction Filter Banks for Adaptive Filtering and Coding
… PRFBs is derived and used to express the minimum mean square error (MMSE) of the Generalized Transform Domain Adaptive Filters, in terms of the filter bank chosen. Using this parametrization, it is shown how to analytically design filter banks to give optimum error and convergence performances …
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Recursive backpropagation algorithm applied to a globally recurrent neural network
… neural networks. This algorithm is based on least mean square (LMS) algorithms designed for other adaptive architectures. This algorithm overcomes several of the limitations of current recursive neural network algorithms, such as epoch training and the requirement for large amounts of memory …
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PIC 18F452 implementation of digital filters
… this research is to implement a floating-point least mean square (LMS) error adaptive filter and its secondary goal is a fixed-point implementation of finite impulse response (FIR) filter. FIR filters are specified via a graphical user interface (GUI) and upon demand, optimized C-language code …
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Filtering techniques for mitigating microwave oven interference on 802.11b wireless local area networks
… 3- dB bandwidth of the signal. The second is a Least Mean Square (LMS) Adaptive filter that produces an estimate of the interference through a recursive approximation method and subtracts it out from the received signal. The third and last is the Adaptive Notch Filter (ANF) which implements a …
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Space-time Processsing for the Wideband-CDMA System
… techniques, Direct Matrix Inversion (DMI), Least-Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms. Two different Geometrically Based Single Bounce (GBSB) statistical channel models are considered, one, which is more suitable for array processing, and the other is …
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Simulation of adaptive equalization in two-ray, SIRCIM, and SMRCIM mobile radio channels
… likelihood sequence estimation (MLSE) equalizer. Least mean square (LMS) and recursive least squares (RLS) algorithms are used as the adaptive algorithms for these equalizers. Lattice-DFE, DFE, and MLSE with an RLS algorithm are recommended to be implemented in mobile systems because of their …
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Constrained Linear and Non-Linear Adaptive Equalization Techniques for MIMO-CDMA Systems
… to it, as in the case of the normalized least mean squared (NLMS) algorithm. Thus, in this work both linear and non-linear decision feedback (DFE) equalizers for MIMO systems with least mean square (LMS) based constrained stochastic gradient algorithm have been designed. More …
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Optimal Algorithms for Blind Source Separation - Application to Acoustic Echo Cancellation
… aspects of the widely used adaptive algorithm Least Mean Square (LMS). We compare these with Non-negative Matrix Factorization (NMF), and their various extensions and modifications, especially for the purpose of performing AEC by employing techniques developed for monaural sound source …
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Adaptive feedforward control of broadband structural vibration
… The algorithms are based on the filtered-X Least Mean Square (LMS) adaptive algorithm. A system identification of the plant control loop is required to implement this algorithm. An autoregressive moving-average (ARMA) model was used for the system identification since it provides the most …
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Control of broadband acoustic radiation from structures using a piezoelectric double-amplifier active-skin
… sensing. The adaptive feedforward Filtered-x Least-Mean-Square (LMS) algorithm is employed for both analytical and experimental control simulations showing the utility of such an active-skin in the control of structure-borne sound. A summary of the analytical and experimental findings is given …
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Development of an antenna system for a relay-based wireless network
… and tested. The optimization process using the Least Mean Square (LMS) algorithm is considered in this study to assign the proper phase and amplitude that is necessary to each radiation element excitation current, to produce the desired steered radiation pattern. A comprehensive study on the …
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Harmonic and Narrowband Disturbance Rejection for Linear Time-Periodic Plants
… using an algorithm similar to filtered-X least mean square (LMS) but modified for periodic systems.
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Non-Wiener Effects in Narrowband Interference Mitigation Using Adaptive Transversal Equalizers
The least mean square (LMS) algorithm is widely expected to operate near the corresponding Wiener filter solution. An exception to this popular perception occurs when the algorithm is used to adapt a transversal equalizer in the presence of additive narrowband interference. The steady-state LMS …
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Adaptive iterative multiuser detection for wireless communication systems
… In studying the classical view of a DFE, the mean square error (MSE) behaviour follows the bit error rate (BER) performance. Certain original results are obtained using the classical adaptive DFE to achieve minimum MSE, employing the least mean square (LMS) algorithm. The results thus obtained …
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Broadband adaptive beamforming with low complexity and frequency invariant response
… adaptive filtering algorithms, such as the least mean square (LMS) or the recursive least squares (RLS) to perform unconstrained adaptive optimisation.<br/>A direct DFT implementation, by which broadband signals are decomposed into frequency bins and processed by independent narrowband …
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QoS provisioning in multimedia streaming
… of the variation of the I frame size using Least Mean Square (LMS) is first proposed. Owing to a smoother sequence, better prediction has been achieved as compared to the composite MPEG video traffic prediction scheme. One problem with this LMS algorithm is its slow convergence. In Variable …
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Non-Wiener Characteristics of LMS Adaptive Equalizers: A Bit Error Rate Perspective
Adaptive Least Mean Square (LMS) equalizers are widely used in digital communication systems primarily for their ease of implementation and lack of dependence on a priori knowledge of input signal statistics. LMS equalizers exhibit non-Wiener characteristics in the presence of a strong narrowband …
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Digital communication receiver algorithms and architectures for reduced complexity and high throughput
… equalizers, a channel estimate-based minimum mean square error TEQ (CE-based MMSE-TEQ) and a direct-adaptive TEQ (DA-TEQ) technique, are compared in the presence of channel estimation errors and adjustment errors of a least mean square (LMS) adaptive algorithm. Next, an underwater receiver …
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Adaptive detection in ultrawide bandwidth wireless communication systems
… systems employing either correlation or minimum mean-square error (MMSE) detection is investigated. From our studies it can be found that both the correlation and MMSE detectors have the capability to make use of the multipath diversity. The correlation detector does not have the capability to …
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Partial Update Adaptive Filtering
… filter is an important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity (O(N)) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean …
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