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Originally published in 1968, Harry Van Trees s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested;
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and channel estimation as well as detection. Variants of these blocks, the multicarrier modulation and coded modulations are used in current;
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final part addresses catenary estimation, including detection of contact-line wire irregularities and estimation of catenary based on spectrum;
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between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser;
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engineering tool takes readers step by step through major wireless topics...modulation theory...wireless multipath channel...modulation detection;
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This book focuses on the analysis and design of low-density parity-check (LDPC) coded modulations, which are becoming part of several;
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and random processes and details modern detection and estimation theory to accomplish these tasks. In this book, Lonnie Ludeman, an award;
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parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering;
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detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition;
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face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory;
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face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory;
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of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches;
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on direct and coherent detection, including designs of new structures. Hereby, both optical and electrical parts are considered, allowing the;
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This book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi;
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This book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi;
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minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasised;
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Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze;
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focuses on the estimation of the number of delays, required by the tap-delay estimators. For this purpose the state-of-the-art detection scheme;
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; equalization techniques; synchronization, estimation, and detection techniques; and wireless multiple access (e.g. CDMA, OFDMA, NOMA, ).;
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like FEC channel coding and decoding, modulation and demodulation (IFFT/FFT), digital I/Q-generation, time and frequency synchronisation;
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in the mathematical theory of modem design introduces the theory of digital modulation and coding that underpins the design of digital;
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theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation;
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studies. Contents: Part I - Estimation in regression models with errors in covariates Measurement error models Linear models with;
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functions. The two-stage approach first treats the basics of modulation and coding theory before highlighting how these concepts are defined and;
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of new work that makes up most of this book. Now the older disciplines of detection theory and coding theory have been generalized and applied to;
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This book uses game theory to analyse anti-competitive behaviour among firms and to consider its implications for competition policy. Part;
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estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The;
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