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 35 for “"minimum mean squared"”.
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State Estimation with Unconventional and Networked Measurements
… two sequential forms of the batch linear minimum mean-squared error (LMMSE) estimator are obtained to reduce the computational complexity. Inspired by the estimation with quantized measurements developed by Curry [28], under a Gaussian assumption, the minimum mean-squared error (MMSE) …
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Equalization Techniques For Multipath Mitigation in Aeronautical Telemetry
… algorithm (CMA) and the decision-feedback minimum mean squared error (DF-MMSE) concept to the two compatible offset QPSK waveforms (FQPSK and SOQPSK-TG) that constitute the ARTM Tier-1 waveforms. An adaptive version of the DF-MMSE equalizer is developed and applied to this application. In …
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Robust Parameter Design for Automatically Controlled Systems and Nanostructure Synthesis
… and the best proportional-integral and minimum mean squared error control strategies are developed by using robust parameter design. The proposed method is illustrated using a simulated example and a case study in a urea packing plant. This idea is also extended to cases with on-line …
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Spline wavelet image coding and synthesis for a VLSI based difference engine
… quadratic spline wavelet transform combined with minimum-mean squared error vector quantization to achieve image compression. Image synthesis is accomplished by utilizing the properties of the MRA and the architecture of a custom designed display processor, the Difference Engine. The latter is …
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A low-complexity linear and iterative receiver architecture for multi-antenna communication systems
… on a division-free reformulation of standard minimum mean-squared-error detection algorithms and uses complex dot-products as the basic building blocks of a folded-pipelined architecture. This folded-pipelined architecture provides significant area savings over non-folded approaches. The …
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Parametric design of an adaptive line enhancer for multiple switching tones in a correlated noise environment
… Fourier Transform (DFT) algorithm, a Least Mean Squares (LMS) adaptive algorithm, a Fast Recursive Least Squares (Fast RLS) adaptive algorithm, and the Fast Gradient adaptive algorithm. The DFT algorithm is incapable of removing correlations from the incoming noise, and the LMS and Fast RLS …
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Equalization Using Graphical Models
… an unconstrained and a constrained linear minimum mean squared error equalizer and a generalized decision feedback equalizer. In addition to providing practical algorithms, the factor graph framework yields insight into their mechanics and interrelationships. We then consider algorithms for …
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Analysis and mitigation of carrier frequency offset for uplink of OFDMA
… In this research, Suppression of MUI by Minimum Mean Squared Error (MMSE) Feedback Equalizer in frequency domain which was originally proposed for Single Carrier- Frequency Domain Multiple Access (SC-FDMA) has been studied for Uplink of Orthogonal Frequency Division Multiple Access …
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Turbo equalization using message passing methods with higher order modulation signaling
… us to consider the turbo equalization based on minimum mean squared error (MMSE) linear equalizer which reduces the computational complexity extremely and improves the BER performance as much as the MAP-based turbo equalization. In this thesis we will employ the SISO algorithm based on linear …
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Optimal designs for linear and nonlinear precoders and decoders
… We can obtain maximum information rate design, minimum mean-squared error design and QoS based design when we choose different corresponding weight matrices. For DFE-based nonlinear scheme, we use Lagrangian optimizing method to make the eigenvectors of the precoder matrix match to the …
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Development and Analysis of Adaptive Interference Rejection Techniques for Direct Sequence Code Division Multiple Access Systems
… also studied in this research. Analysis of the minimum mean-squared error receiver is carried out to provide a better understanding of the dependence of its performance on channel parameters and to explain the near-far resilience of the receiver. Complex differentially coherent versions of the …
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Waveform Diversity and Range-Coupled Adaptive Radar Signal Processing
… different spatial directions. A new reiterative minimum mean squared error approach entitled Space-Range Adaptive Processing, which adapts simultaneously in range and angle, is derived and shown in simulation to offer enhanced performance when spatial waveform diversity is employed relative to …
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Channel Estimation for OFDM Systems With Transmitter Diversity
… high accuracy channel estimation is the linear minimum mean-squared error (LMMSE) technique, but it requires a large number of processing operations. In this thesis, a deep and thorough study is carried out, based on the mathematical analysis and simulations in MATLAB, to find new and effective …
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Multi-user detection for multi-rate DS/CDMA systems
… In this dissertation, we combine both linear minimum mean squared error (LMMSE) detector, nonlinear decision feedback detector, with other signal processing techniques, such as array processing and multipath combining, to create effective near-far resistant detectors for multi-rate CDMA …
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Interference characterization and suppression for multiuser direct-sequence spread-spectrum system
… cancellation algorithms based on stage-by-stage minimum mean-squared error (MMSE) optimization. We show that this scheme is capable of achieving significantly better performance than other algorithms with similar complexity. Part three of the thesis presents a low-complexity dual-mode multiuser …
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Numerical optimisation methods for power consumption in multi-hop mobile phone networks
… the Single User Matched Filter (SUMF) and the Minimum Mean Squared Error (MMSE), without considering the scheduling problem. The nature of the set of constraints inherent to both mathematical models is nonconvex, therefore we have a non convex optimisation problem. Since the problem is non …
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Applications of missing feature theory to speaker recognition
… compensation methods studied are cepstral mean subtraction, RASTA, and spectral subtraction. Approaches to missing feature theory include missing feature compensation, which removes corrupted features, and missing feature restoration which predicts such features from neighboring features in …
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Simulation of Adaptive Array Algorithms for OFDM and Adaptive Vector OFDM Systems
… adaptive beamforming algorithm based on the minimum mean-squared error (MMSE) criterion, which is referred to as frequency-domain beamforming, is proposed that exploits the characteristics of OFDM signals. The computational complexity of frequency-domain beamforming is also studied. …
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Channel Estimation in Single -Carrier and Multi-Carrier Communication Systems
… for single-carrier systems as the linear optimal minimum-mean-squared-error (LMMSE) estimator. Analysis of this estimator and a related hard decision-based channel estimator is carried out in the context of turbo equalization under Gaussian assumptions of the output of the soft-input/soft-output …
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Channel Estimation in TDD and FDD-Based Massive MIMO Systems
… performed in multiple time slots. Using the minimum mean squared error (MMSE) criterion, the optimal precoder and combiner in each time slot are aligned to transmitter and receiver eigen-directions, respectively. Meanwhile, the optimal power allocation for each training time slots is obtained …
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