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GPS-Based Optimal FIR Filtering of Clock Models

This book addresses novel results in the field of optimal finite impulse response (FIR) estimation and steering of the local clock time;

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Broadband Array Processing

-based, time-domain implementation of the broadband beamformer, where the FIR beamformer is designed by separately designing the subband;

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Stochastic Control and Filtering over Constrained Communication Networks

on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation;

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Recent Advances in Clock Synchronization for Packet-Switched Networks

in network systems. This monograph concentrates on a technique called Network Time Distribution which is often more cost-effective than GPS-based;

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Multi model Jumping Systems Robust Filtering and Fault Detection

as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The;

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Brownian Models of Performance and Control

role of reflected Brownian motion as a storage model, queuing model, or inventory model; optimal stopping problems for Brownian motion;

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Global Navigation Satellite Systems, Inertial Navigation, and Integration

Covers significant changes in GPS/INS technology, and includes new material on GPS, GNSSs including GPS, Glonass, Galileo, BeiDou, QZSS;

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Multirate Systems and Filterbanks

available closed form expressions, the role of windows is economical. One of the key applications is the design of FIR filters. These filters are;

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GPS: Theory, Algorithms and Applications

This reference and handbook describes theory, algorithms and applications of the Global Positioning System (GPS/Glonass/Galileo/Compass;

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Inside Volatility Filtering

volatility estimation, using financial econometrics based on a more accurate estimation of the hidden state. Based on the idea of filtering , this;

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Digital Filters Design for Signal and Image Processing

of designing finite impulse response (FIR) and infinite impulse response (IIR) filters. Bi-dimensional digital filtering (image filtering;

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Global Positioning Systems

of GPS signal structure, including acquisition time, validity based on various tested GPS units, quality control of real-time positioning, data;

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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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Uncertainties in GPS Positioning

Uncertainties in GPS Positioning: A Mathematical Discourse describes the calculations performed by a GPS receiver and the problems;

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Robust Kalman Filtering for Signals and Systems With Large Uncertainties

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to;

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Optimal PLL loop Filter Design for Mobile WiMax Via LMI

Achieving optimal design of phase-locked loop (PLL) is a major challenge in WiMax technology in order to improve system behavior against;

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Multi-Pitch Estimation

maximum a posteriori methods, filtering methods based on both static and optimal adaptive designs, and subspace methods based on the principles;

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Nonlinear Model-Based Image/Video Processing And Analysis

provides extensive coverage of nonlinear model-based techniques in image and video processing and analysis. This volume not only details new;

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DSP for Matlab and Labview

processing principles including correlation, the correlation sequence, the Real DFT, correlation by convolution, matched filtering, simple FIR;

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Anti-Spam Techniques Based on Artificial Immune System

productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based;

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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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Optimal Interconnect Networks for 2D and 3D Microchips

," with performance limited by signal, power, clock and thermal interconnect networks. Techniques to tackle this interconnect challenge are;

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Optimal State Estimation

paper and pen to solve lead to an intuitive understanding of how theory works in practice MATLAB(r)-based source code that corresponds to;

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Inference in Hidden Markov Models

) requiring approximate simulation-based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. This book;

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Blind Equalizers By Techniques Of Optimal Non-Linear Filtering Theory

nonlinear filtering problem, it has not yet been treated by all the well known advanced techniques of optimal non-linear filtering theory. In this;

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