Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 52 for “"least mean square"”.
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Improving Performance of the Filtered-X Least Mean Square Algorithm for Active Control of Noise Contatining Multiple Quasi-Stationary Tones
<p>The Filtered-X Least-Mean-Square (FXLMS) algorithm is widely used in active noise control due to its robustness, simplicity, and ability to be implemented in real time. In a feedforward implementation of the FXLMS algorithm, a reference signal that is highly correlated with the noise to be …
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Analysis and Evaluation of the Family of Sign Adaptive Algorithms
… These four algorithms include Sign Regressor Least Mean Fourth (SRLMF), Sign Regressor Least Mean Mixed-Norm (SRLMMN), Normalized Sign Regressor Least Mean Fourth (NSRLMF), and Normalized Sign Regressor Least Mean Mixed-Norm (NSRLMMN). The performance of the latter three algorithms has been …
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The influence of physical system parameters on the performance of adaptive filters for system identification of mechanical systems
Recursive and nonrecursive least mean square adaptive filters were used to predict the output of various mechanical systems for a given input. The effects of quality factor (Q), dispersion and transmission time on adaptive filter performance were investigated. Optimal filter delay times and tap …
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Fractionally spaced equalization for high-speed links
… the divergence issue of the low-cost sign-sign least-mean-square (SSLMS) adaptive algorithm is solved by using update conditioning to effectively increase the quantization resolution. For plesiochronous systems, a digitally-controlled bit-skipping scheme is proposed for frequency offset …
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Novel receiver architectures for mobile communications
… incorporate a new class of variable step-size least mean square (VSLMS) adaptive algorithms with good tracking properties developed in this thesis. With the great interest in turbo codes for commercial cellular mobile communications such as WCDMA and cdma2000, the proposed receiver …
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Stochastic Stefan problems: existence, uniqueness, and modeling of market limit orders
… estimation schemes using maximum likelihood and least mean-square-errors methods under certain criteria, and settle the investment optimization problem in both static and dynamic sense when taking the model as exogenous.
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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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Time average feedforward control techniques for time varying systems
… Current approaches, such as the Filtered-X Least Mean Square algorithm, are limited in adaptability and applicability by the computationally intensive system identification process. The Time Average approach is a technique that promises to be a major advance in the active control of sound …
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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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Application of Active Noise Control to Reduce Cabin Noise in Single Engine General Aviation Aircraft
… investigated through the use of the 'filtered x' least mean square algorithm and a simple acoustic feedforward method to generate a reference signal is tested. The system is designed to utilize one reference signal and up to two feedback signals and two audio speakers. The feedforward system …
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Real-time Adaptive Cancellation of Satellite Interference in Radio Astronomy
… scarce commodity. A programmable real-time DSP least-mean-square interference canceller was developed and demonstrated as a successful method of excising satellite down-link signals from both an experimental platform at BYU, and the Green Bank Telescope at the National Radio Astronomy …
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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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Demonstration of active structural acoustic control of cylinders
… hardware programmed with the filtered-x Least-Mean-Square adaptive control algorithm is used to control the vibration of the cylinder. The excitation is single-tone on-resonance. Acoustic - testing demonstrates that ASAC reduces the sound pressure level generated by the vibrating cylinder …
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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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A novel Adaptive Filtering approach to Drive File Identification for Service Environment Replication
… approach, called the Pulse Train Filtered-x Least Mean Square algorithm for waveform generation and drive file identification is proposed in this thesis based on methods developed for Active Noise and Vibration Control. Simulation studies are considered using various test benches with varying …
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Stereophonic Acoustic Echo Cancellation: Theory and Implementation
… canceler based on the two-channel fast recursive least-squares algorithm is presented. An analysis of the system calculation complexity is also given, in addition to simulation results on recorded real-life data. Paper II presents a comparison between adaptive filters for usage in stereophonic …
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Adaptive filters for sparse system identification
… a new family of proportionate normalized least mean square (PNLMS) adaptive algorithms that improve the performance of identifying block-sparse systems is proposed. The main proposed algorithm, called block-sparse PNLMS (BS-PNLMS), is based on the optimization of a mixed ℓ<sub>2,1</sub> …
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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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