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Channel Estimation Using Adaptive Algorithms

Channel estimation algorithms explain the behavior of the channel and its allow the receiver to approximate the impulse response of the;

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Identification Of Time-Varying Processes

telecommunications (channel equalization, predictive coding of signals, adaptive noise reduction and echo cancellation) and automatic control (adaptive;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

) estimation with an extensive discussion on adaptive direction of arrival algorithms. The book begins with a presentation of the basic theory;

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Partial Update Least-Square Adaptive Filtering

identification and channel equalization, two special applications of using partial update adaptive filters are also presented. One application uses PU;

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Partial Update Least-Square Adaptive Filtering

identification and channel equalization, two special applications of using partial update adaptive filters are also presented. One application uses PU;

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Spectral Analysis of Signals

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis;

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Adaptive Digital Filters

in communications and rotation-based algorithms. It provides practical applications in information, estimation, and circuit theories.;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

) estimation with an extensive discussion on adaptive direction of arrival algorithms. The book begins with a presentation of the basic theory;

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Cognitive Fusion for Target Tracking

fusion to the sequential estimation problem of target tracking using foveal and radar sensors.;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently;

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Neuro-Fuzzy Equalizers for Mobile Cellular Channels

simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently;

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On the Achievable Rate of Stationary Fading Channels

the achievable data rate with receivers using synchronized detection based on a solely pilot based channel estimation gives an approximate;

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Blind Identification and Separation of Complex-valued Signals

estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book;

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Signal Processing for Multistatic Radar Systems

for target localization using mobile sensors Gives an understanding of low-complexity and high-performance pseudolinear estimation;

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Adaptive Filtering Prediction and Control

estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter;

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LTE Advanced - Physical Layer Improvements

-aided channel estimation, show that assuming a parametric channel model can effectively improve the estimate accuracy. The algorithms based on;

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Source Separation and Machine Learning

algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a;

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Adaptive Filtering

and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations;

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Adaptive Filtering

and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations;

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Robust Adaptive Controls

estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws.Engineers and;

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Adaptive Wireless Transceivers

the reader with a future-proof technological road map. It demonstrates that adaptive transceivers are capable of mitigating the channel;

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Performance evaluation of channel estimation techniques for an LTE downlink system

Performance Evaluation of Channel Estimation Techniques for an Lte Downlink System is een boek van Kahsay Kiross;

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Adaptive Filtering

presented in a unified framework, using clear notations that facilitate actual implementation. The main algorithms are described in tables;

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System Identification and Adaptive Control

* conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on;

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