Author: Sapthotharan Krishnan NairPublisher:
ISBN:
Category :
Languages : en
Pages : 336
Book Description
Nonlinear Equalization for Digital Recording Channels
Author: Sapthotharan Krishnan NairPublisher:
ISBN:
Category :
Languages : en
Pages : 336
Book Description
Nonlinear Channel Models And Their Simulations
Author: Yecai GuoPublisher: World Scientific
ISBN: 9811249466
Category : Technology & Engineering
Languages : en
Pages : 449
Book Description
This comprehensive compendium highlights the research results of nonlinear channel modeling and simulation. Nonlinear channels include nonlinear satellite channels, nonlinear Volterra channels, molecular MIMO channels, etc.This volume involves wavelet theory, neural network, echo state network, machine learning, support vector machine, chaos calculation, principal component analysis, Markov chain model, correlation entropy, fuzzy theory and other theories for nonlinear channel modeling and equalization.The useful reference text enriches the theoretical system of nonlinear channel modeling and improving the means of establishing nonlinear channel model. It is suitable for engineering technicians, researchers and graduate students in information and communication engineering, and control science and engineering, intelligent science and technology.
Equalizer Design for MDFE Channels Using Nonlinear Optimization
Author: Dan OnuPublisher:
ISBN:
Category : Equalizers (Electronics)
Languages : en
Pages : 142
Book Description
Decision feedback equalization (DFE) is a sampled-data technique used for data recovery in digital communications channels. Multi-level decision feedback equalization (MDFE) has been developed for channels using the 2/3(1,7) RLL code. The optimum detector for a digital communication channel affected by ISI and noise consists of a matched filter, followed by a symbol rate sampler and a maximum likelihood sequence estimator. The optimal detector is unrealizable for saturation recording channels. A compromise structure uses fixed filter types with adjustable parameters. The objective is to maximize the signal-to-noise ratio in order to minimize the error rate. The read-channel waveform is corrupted at sampling instants by noise generated by various sources. We use a continuous-time low-pass filter cascaded with an all-pass filter at the receiver front-end. The low-pass filter band-limits high-frequency noise before sampling, and the all-pass filter equalizes the signal. This thesis examines different structures of the receiver and their optimal parameter placing. A design methodology developed specifically for choosing the poles and zeros location of the linear front-end part of the receiver is presented. It makes use of nonlinear optimization, and a software package written in MATLAB for equalizer computer aided design (CAD) is included in the appendix. The optimization criterion usually mentioned in the literature for digital channel optimal design is the sum of the intersymbol interference and noise. A new objective function is proposed in the thesis, and the error rate probability is shown to decrease by 30%. Issues pertaining to digital simulation of continuous-time systems are discussed. Design results are presented for different receiver structures, and bit error rate simulations are used for design validation.
A Digital Equalizer for High-speed Magnetic Recording
Author: Kevin D. FisherPublisher:
ISBN:
Category : Equalizers (Electronics)
Languages : en
Pages : 202
Book Description
ICC '95 Seattle
Author: Nonlinear Feedback Equalization of Digital Signals Transmitted Over Dispersive Channels
Author: Desmond Patrick TaylorPublisher:
ISBN:
Category :
Languages : en
Pages : 266
Book Description
Conference Record
Author: Blind Adaptive Equalization for Digital Magnetic Recording Channels
Author: Kenneth D. UnderwoodPublisher:
ISBN:
Category : Digital communications
Languages : en
Pages : 176
Book Description
Equalizers for Digital Modems
Author: A. P. ClarkPublisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 488
Book Description
Kernel Adaptive Filtering
Author: Weifeng LiuPublisher: John Wiley & Sons
ISBN: 1118211219
Category : Science
Languages : en
Pages : 167
Book Description
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.