Download or read book Nonlinear Channel Models And Their Simulations written by Yecai Guo and published by World Scientific. This book was released on 2022-06-27 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Nonlinear Circuit Simulation and Modeling written by José Carlos Pedro and published by Cambridge University Press. This book was released on 2018-06-14 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, tutorial guide to the nonlinear methods and techniques needed to design real-world microwave circuits.

Download or read book Spatio Temporal Modeling of Nonlinear Distributed Parameter Systems written by Han-Xiong Li and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches. In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes. Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control.

Download or read book Nonlinear Circuit Simulation and Modeling written by José Carlos Pedro and published by Cambridge University Press. This book was released on 2018-06-14 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the nonlinear methods and tools needed to design real-world microwave circuits with this tutorial guide. Balancing theoretical background with practical tools and applications, it covers everything from the basic properties of nonlinear systems such as gain compression, intermodulation and harmonic distortion, to nonlinear circuit analysis and simulation algorithms, and state-of-the-art equivalent circuit and behavioral modeling techniques. Model formulations discussed in detail include time-domain transistor compact models and frequency-domain linear and nonlinear scattering models. Learn how to apply these tools to designing real circuits with the help of a power amplifier design example, which covers all stages from active device model extraction and the selection of bias and terminations, through to performance verification. Realistic examples, illustrative insights and clearly conveyed mathematical formalism make this an essential learning aid for both professionals working in microwave and RF engineering and graduate students looking for a hands-on guide to microwave circuit design.

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. - Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. - Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. - Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

Download or read book Nonlinear Modeling written by Johan A.K. Suykens and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream Kalman filter training for recurrent networks; The support vector method of function estimation; Parametric density estimation for the classification of acoustic feature vectors in speech recognition; Wavelet-based modeling of nonlinear systems; Nonlinear identification based on fuzzy models; Statistical learning in control and matrix theory; Nonlinear time-series analysis. It also contains the results of the K.U. Leuven time series prediction competition, held within the framework of an international workshop at the K.U. Leuven, Belgium in July 1998.

Download or read book Nonlinear Distortion in Wireless Systems written by Khaled M. Gharaibeh and published by John Wiley & Sons. This book was released on 2011-12-07 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB simulations and techniques In this book, the author describes the principles of modeling and simulation of nonlinear distortion in single and multichannel wireless communication systems using both deterministic and stochastic signals. Models and simulation methods of nonlinear amplifiers explain in detail how to analyze and evaluate the performance of data communication links under nonlinear amplification. The book addresses the analysis of nonlinear systems with stochastic inputs and establishes the performance metrics of communication systems with regard to nonlinearity. In addition, the author also discusses the problem of how to embed models of distortion in system-level simulators such as MATLAB and MATLAB Simulink and provides practical techniques that professionals can use on their own projects. Finally, the book explores simulation and programming issues and provides a comprehensive reference of simulation tools for nonlinearity in wireless communication systems. Key Features: Covers the theory, models and simulation tools needed for understanding nonlinearity and nonlinear distortion in wireless systems Presents simulation and modeling techniques for nonlinear distortion in wireless channels using MATLAB Uses random process theory to develop simulation tools for predicting nonlinear system performance with real-world wireless communication signals Focuses on simulation examples of real-world communication systems under nonlinearity Includes an accompanying website containing MATLAB code This book will be an invaluable reference for researchers, RF engineers, and communication system engineers working in the field. Graduate students and professors undertaking related courses will also find the book of interest.

Download or read book Equalization and Identification of Volterra Type of Nonlinear Channels Using Multichannel Adaptive Lattice Algorithms written by Soner Özgünel and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this thesis is to investigate the equalization and identification of the Volterra type of nonlinear channels using the multichannel adaptive lattice algorithms. The main contribution appears as the development of a new single input-multiple output system used in the models for the equalization and identification of nonlinear channels. This system is so defined that it takes a sequence of signals as its input and produces an output in the form of a vector with its elements obtained by the input and its delayed versions. Determination of the structure of the system is the crucial point here. It is so defined that the structures of the multichannel adaptive lattice equalizer and identifier models match to the nonlinear structure of the channel.In the first part of the thesis, a multichannel adaptive lattice equalizer model is developed using the above mentioned single input-multiple output system, and applied to the equalization of a second-order Volterra type of nonlinear channel. The performance of the model is investigated in the base of learning curves by some computer simulations examined for different parameters, such as channel noise, lattice length and step-size of the algorithm. In the second part, a multichannel adaptive lattice identifier model is developed using the single input-multiple output system, and applied to the identification of the same example of second-order nonlinear channel. The performance of the model is investigated in two parts, first in the base of learning curves and then in the base of estimating the linear and quadratic weights of the channel. The performance analysis is done for different parameters as in the equalization part.Finally, the equalization and identification of digital satellite channels are investigated. These channels have such a nonlinear structure that can be modeled by a Volterra series of higher-order, and therefore the structure of the single input-multiple output system is so defined that its output has the same order of nonlinearity as that of the channel. This means that the structure of the system matches to that of the channel. This single input-multiple output system is used in the multichannel adaptive lattice equalizer and identifier models, and their performances are investigated for a numerical example of 4-CPSK nonlinear satellite channel.

Download or read book Soft Computing in Communications written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2003-09-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing, as opposed to conventional "hard" computing, tolerates imprecision and uncertainty, in a way very much similar to the human mind. Soft computing techniques include neural networks, evolutionary computation, fuzzy logic, and chaos. The recent years have witnessed tremendous success of these powerful methods in virtually all areas of science and technology, as evidenced by the large numbers of research results published in a variety of journals, conferences, as weil as many excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in communications. The book is organized in four Parts, i.e., (1) neural networks, (2) evolutionary computation, (3) fuzzy logic and neurofuzzy systems, and (4) kernel methods. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights that may be adjusted during learning. Part 1 of the book has seven chapters, demonstrating some of the capabilities of two major types of neural networks, i.e., multiplayer perceptron (MLP) neural networks and Hopfield-type neural networks.

Download or read book Nonlinear system identification 1 Nonlinear system parameter identification written by Robert Haber and published by Springer Science & Business Media. This book was released on 1999 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonlinear Speech Modeling and Applications written by Gerard Chollet and published by Springer. This book was released on 2005-07-12 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the revised tutorial lectures given at the International Summer School on Nonlinear Speech Processing-Algorithms and Analysis held in Vietri sul Mare, Salerno, Italy in September 2004. The 14 revised tutorial lectures by leading international researchers are organized in topical sections on dealing with nonlinearities in speech signals, acoustic-to-articulatory modeling of speech phenomena, data driven and speech processing algorithms, and algorithms and models based on speech perception mechanisms. Besides the tutorial lectures, 15 revised reviewed papers are included presenting original research results on task oriented speech applications.

Download or read book Advances in Neural Networks ISNN 2005 written by Jun Wang and published by Springer Science & Business Media. This book was released on 2005-05-17 with total page 1123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China.

Download or read book Radio Propagation Measurements and Channel Modeling written by Theodore S. Rappaport and published by Cambridge University Press. This book was released on 2022-08-25 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide for creating accurate channel-propagation measurements and channel models at millimeter-wave and sub-terahertz bands. Including examples, this book provides practical guidance on RF propagation channels, including measurement system verification and an overview of current and future channel models for these frequencies.

Download or read book Device Modeling for Analog and RF CMOS Circuit Design written by Trond Ytterdal and published by John Wiley & Sons. This book was released on 2003-08-01 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridges the gap between device modelling and analog circuit design. Includes dedicated software enabling actual circuit design. Covers the three significant models: BSIM3, Model 9 &, and EKV. Presents practical guidance on device development and circuit implementation. The authors offer a combination of extensive academic and industrial experience.

Download or read book Signal Processing for Mobile Communications Handbook written by Mohamed Ibnkahla and published by CRC Press. This book was released on 2004-08-16 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, a wealth of research has emerged addressing various aspects of mobile communications signal processing. New applications and services are continually arising, and future mobile communications offer new opportunities and exciting challenges for signal processing. The Signal Processing for Mobile Communications Handbook provi

Download or read book Kinematic Wave Modeling in Water Resources written by Vijay P. Singh and published by John Wiley & Sons. This book was released on 1996-03-29 with total page 1424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kinematic wave modeling methods are gaining wide acceptance as a fast and accurate way of handling a wide range of water modeling problems. This is the first book to provide a thorough reference to the application of KW methods to such problems as the spatial representation of watersheds, overland flow routing, and channel flow routing.

Download or read book Channel Modeling Approaches to Wireless System Design and Analysis written by Aliye Özge Kaya and published by . This book was released on 2010 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: In wireless communications, it is common practice to use mathematical models for describing the radio channel. One approach is stochastic modeling, in which the key properties of the signal propagation (e.g., multipath fading) are captured by probability distributions. If the interest pertains to a specific environment, an alternative approach is to measure channel responses for a very large population of transmit-receive (T-R) paths; this is an effective but labor-intensive approach. An alternative approach that is less costly and more flexible is to use environment simulators. These are computer programs that (1) emulate the physical environment; (2) use wave propagation physics to predict the radio signal produced at any receive point from any transmit point; and (3) account for transmission through walls and diffraction around walls. This works best when the user has site-specific information on the geometry and structure materials When the physical environment is well-specified, such as indoor areas where the layouts and materials of walls, floors and ceilings are known, environment simulation can be employed on a very large scale with very little effort. In this thesis we focus on environment simulators based on ray-tracing. The major contribution is to demonstrate and evaluate the use of ray tracing for characterizing wireless channels and analyzing algorithms for various applications. We initially demonstrate, via comparisons with physical measurements, the statistical accuracy of ray-tracing predictions of channel behavior. The comparisons are made for three parameters that largely characterize a radio path's behavior: Path loss; Ricean K-factor; and RMS delay spread. The comparisons show good agreement over the set of paths measured and simulated, establishing confidence that a well-designed radio simulator can be used reliably in system studies. Environment-specific models generally assume the channel response is non-varying over time if both ends of the path are fixed. However, in real environments, channel responses vary over time, e.g. due to movement of objects (or people) near the transmission path. We have measured the channel response in an office building under different scenarios of environment dynamics. We stochastically modeled the time variation of the channel response about the mean using autoregressive processes and showed that this can lead to an accurate representation. Our approach could be used to model the time-varying tap gains to further augment the realism of ray-tracing simulations. We then demonstrate several applications in wireless system design where ray-tracing could be exploited. First, we present an algorithm called Emitter Localization and Visualization (ELVIS) for localizing emitters by back-propagating the received signals via back-ray tracing. Second, we present a statistical path loss model derived from data simulated using a ray tracing tool. The characterization used is a nonlinear curve of the dB path loss to the log-distance, with a random variation about that curve due to shadow fading. Third, we devise an evaluation approach for densely populated urban wireless systems using MIMO links, wherein the location-specific channel gains are determined via ray-tracing. We compare and quantify the data rate performances of MIMO systems for various transmission schemes and antenna configurations; we present algorithms for adapting the MIMO transmission mode to varying channel conditions as a mobile moves along a given trajectory; and we treat the case of multiple bases to cover a full urban neighborhood and investigate the relationship among frequency reuse, co-channel interference and achievable data rate.