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Showing 1 to 20 of 41 for “"LMS algorithm"”.
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Application of the Filtered-X LMS Algorithm for Disturbance Rejection in Time-Periodic Systems
… in particular until recently. The filtered-X LMS algorithm is regarded as the best disturbance rejection technique for aperiodic systems by many, as has been proven in the acoustics industry for rejecting unwanted noise. Since this is essentially a feedforward approach, we might expect its …
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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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A Principal Component Algorithm for Feedforward Active Noise and Vibration Control
A principal component least mean square (PC-LMS) adaptive algorithm is described that has considerable benefits for large control systems used to implement feedforward control of single frequency disturbances. The algorithm is a transform domain version of the multichannel filtered-x LMS algorithm. …
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Switching adaptive filter structures for improved performance
… that is able to switch between adaptive filter algorithms in order to produce fast convergence and low mean Square error (MSE). The switching system employs two adaptive filters for two different tasks; one is intended to yield fast convergence, and logically called the "fast convergence …
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Investigation of combined feedback and adaptive control of cylinder vibrations
… The feedforward loop utilizes the filtered-x LMS algorithm. The result of combining the two control laws was unknown prior to implementation.The resulting control scheme shows that the feedback control law is effective in attenuating undesirable frequency components in the feedforward error …
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Practical techniques for rapid and reliable real-time adaptive filtering
… these issues. First, a new class of data-reusing LMS algorithms is explored. These algorithms are seen, through extensive simulation examples, to have superior convergence rate and Mean-Squared Error performance over the Data-Reusing LMS algorithm at the same computational cost. A geometric …
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Active Suspension Design Requirements for Compliant Boundary Condition Road Disturbances
… using adaptive filtering. A least mean squares (LMS) algorithm is used in the process. A case study with fixed parameters is used to show the results of the estimation process. The results show the effectiveness of an adaptive LMS algorithm for such an application. The peak control force and the …
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QoS provisioning in multimedia streaming
… 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 Bit Rate (VBR) …
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Perfect Reconstruction Filter Banks for Adaptive Filtering and Coding
… structures relative to the Least Mean Square (LMS) algorithm when prior knowledge is incorporated.
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Design and Implementation of an FPGA-based Soft-Radio Receiver Utilizing Adaptive Tracking
… single-user DS-CDMA receiver utilizes an LMS adaptive filter that can combat MAI and constructively combine multipath; most notably, this receiver employs an adaptive tracking algorithm that harnesses the LMS algorithm to maintain symbol synchronization. The proto-Stallion receiver …
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Optimum Actuator Grouping in Feedforward Active Control Applications
… coefficients. The backpropagation neural network algorithm provides the proper procedure to determine the minimum of this cost function. The main disadvantage of using a stochastic gradient technique, while searching the prescribed control surface, is convergence to local minima. In this thesis, a …
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Adaptive Antenna Arrays for Satellite Personal Communication Systems
… environment and null out the interference. The LMS algorithm was investigated and used in the simulation of the adaptive array. The performance of the LMS array was discussed in detail. In the case of a multipath, an alternate approach was proposed where a diversity combiner is used to phase …
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System Identification of a Cantilever Beam with Interferometer Measurement Using Adaptive Filters
… slow convergence of such filters, a recursive LMS algorithm is designed to accelerate computation. It is experimentally demonstrated that the precision measurement of interferometer can lead to highly accurate results of system identification.</p>
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Probability Density Function Estimation Applied to Minimum Bit Error Rate Adaptive Filtering
… called the Minimum BER Estimation (MBE) algorithm has been developed. MBE shows improvement over the Least Mean Squares (LMS) algorithm for most simulations involving interference and in some multipath situations. Furthermore, the new algorithm is more robust than LMS to changes in …
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Advanced sensing techniques for active structural acoustic control
… of the control approach. The chosen control algorithm in this study was the feed forward filtered-x version of the adaptive LMS algorithm. A much lower level of system modelling is required with this method of control in comparison to state feedback control methods. As a result, much of the …
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Magnetocardiography in unshielded environment based on optical magnetometry and adaptive noise cancellation
… is based on standard Least-Mean-Squares (LMS) algorithms and on two heuristic optimization techniques, namely, Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The use of these algorithms is investigated for suppressing the power line generated 50Hz interference and …
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Active control of broadband acoustic radiation from structures
… The control approach is the least mean squares (LMS) algorithm. The compensators are adaptive finite impulse response (FIR) digital filters. The system identification of the control loop transfer functions were implemented with infinite impulse response (IIR) digital filters. The control inputs …
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A novel Adaptive Filtering approach to Drive File Identification for Service Environment Replication
… 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 degrees of …
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An Assurance Metric and Robustness Evaluation of a Low-cost Acoustic Beamformer for Source Localization
… operator. This study examines the use of the LMS algorithm for constructing a beamformer using an optimized Weiner filter solution for this source localization application and evaluates the robustness of a developed characterization method for assuring that a proper approximation for the …
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A Structured Approach to Defining Active Suspension Requirements
… of tires on road. A least-mean-squares (LMS) algorithm for adaptive filtering, with the help of look-ahead preview was used to determine the ideal control force profile to achieve the performance objective of the active suspension. A case study was conducted to determine the requirements …
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