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Robust Statistics for Signal Processing

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the;

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Signal Processing in Radar Systems

for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;

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Signal Processing in Radar Systems

for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;

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High-Resolution and Robust Signal Processing

High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last;

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Modern Nonparametric, Robust and Multivariate Methods

methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the;

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Signal Processing and Image Processing for Acoustical Imaging

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved;

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Robust Correlation Theory & Aplications

This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions;

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H Robust Designs & their Applications to Control, Signal Processing, Communication, Systems & Synthetic Biology

integrated platform for control, signal processing, communication, systems and synthetic biology. Based on the theoretical H robust design results;

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Developments and Applications for ECG Signal Processing

Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition covers reliable techniques for ECG;

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Signal Processing and Machine Learning with Applications

presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine;

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Financial Signal Processing and Machine Learning

, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing;

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Pattern Recognition and Signal Processing in Archaeometry

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;

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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy

Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore;

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Statistical Signal Processing

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the;

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Statistical Signal Processing

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the;

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Robust Industrial Control Systems

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use;

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Mathematical Foundations for Signal Processing, Communications, and Networking

Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the;

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Brain and Behavior Computing

condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis;

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Covariance Analysis for Seismic Signal Processing

This volume is intended to provide the geophysical signal analyst with sufficient material to understand the usefulness of data covariance;

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Singular Spectrum Analysis of Biomedical Signals

effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust;

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Singular Spectrum Analysis of Biomedical Signals

effective approach for single channel signal analysis, and its bivariate, multivariate, tensor based, complex-valued, quaternion-valued and robust;

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Convex Optimization In Signal Processing And Communications

signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for;

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Statistical Signal Processing in Engineering

A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a;

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Communication, Signal Processing & Information Technology

, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;

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Digital Signal Processing with Kernel Methods

algorithms for classification and detection problems in the context of signal processing * Surveys advances in kernel signal processing beyond SVM;

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Signal Processing

in remote sensing Featuring problems for use in the classroom or practice, Signal Processing: A Mathematical Approach, Second Edition covers;

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Signal Processing

mathematics is used in remote sensing Featuring problems for use in the classroom or practice, Signal Processing: A Mathematical Approach;

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