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Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representa

a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system;

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Sparse Adaptive Filters for Echo Cancellation

Adaptive filters with a large number of coefficients are usually involved in both network and acoustic echo cancellation. Consequently, it;

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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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Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.;

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A Perspective on Stereophonic Acoustic Echo Cancellation

is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work;

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System Identification and Adaptive Control

research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both;

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Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling;

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Towards Adaptive Spoken Dialog Systems

negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions;

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Identification Of Time-Varying Processes

Identification of Time-Varying Processes offers a comprehensive treatment of the key issue in adaptive systems: tracking of time-varying;

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Modern Control Engineering

Illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques. Covers;

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Precise Digital Control of Active Magnetic Bearings

This book presents a step by step approach in developing a test rig for the acoustic noise study of induction machines using Active;

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Soft Computing with NeuroFuzzy Systems

-neuro model for intelligent credit risk management; method to improve airborne pollution forecasting by using ant colony optimization; TSK-type;

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Principles of Adaptive Optics

Includes a practical roadmap for developing a viable stable multichannel control system Presents new practical calibration techniques and;

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Principles of Adaptive Optics

roadmap for developing a viable stable multichannel control system Presents new practical calibration techniques and new information on phase;

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Proportionate-type Normalized Least Mean Square Algorithms

. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo;

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Fuzzy Control and Identification

of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.;

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Adaptive Control of Parabolic PDEs

operator-valued equations. The book emphasizes stabilization by boundary control and using boundary sensing for unstable PDE systems with an;

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Active Sound and Vibration Control

reduction in locomotives and vehicles. Topics discussed include multichannel active noise control, adaptive harmonic control, model-free iterative;

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Neural Network Control of Nonlinear Discrete-Time Systems

book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification;

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Overview of Speech Based Gender Identification

identification system. In this book all the required signal processing techniques required for understanding the basics of natural language processing;

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Adaptive Sampling Designs

This book aims to provide an overview of some adaptive techniques used in estimating parameters for ;...

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Duct Acoustics

measurement when needed. Cope with challenges in acoustic design, and improve understanding of the underlying physics, by using the tools described;

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Adaptive Signal Processing in Wireless Communications

, identification and equalization, adaptive modulation and coding, adaptive multiple-input-multiple-output (MIMO) systems, and cooperative diversity. It;

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Application Of Dimensional Analysis In Systems Modeling And

control theory and problems such as identification and model reduction, robust control, adaptive control, and PID control;

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Adaptive Control Design And Analysis

applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and;

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Statistical Methods for Recommender Systems

(matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience;

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Neural Network Perspectives on Cognition and Adaptive Robotics

the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced;

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