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Statistical Signal Processing for Neuroscience and Neurotechnology

giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing;

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Advanced Signal Processing and Digital Noise Reduction

of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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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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Multimedia Signal Processing

: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z;

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Fundamentals Of Statistical Signal Processing

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals;

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Digital and Statistical Signal Processing

information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;

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Digital and Statistical Signal Processing

information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;

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Signal Processing for Cognitive Radios

This book examines signal processing techniques for cognitive radios. The book is divided into three parts: Part I, is an introduction to;

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An Introduction to Statistical Communication Theory

special functions, integrals, solutions of integral equations, and an extensive, updated bibliography by chapter, An Introduction to Statistical;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Digital Signal Processing with Kernel Methods

algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and;

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Intelligent Signal Processing

differs fundamentally from the classical approach to statistical signal processing in that the input--output behavior of a complex system;

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Signal Coding and Processing

A comprehensive introduction to the complex fields of signal coding and signal processing.;

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Multirate Statistical Signal Processing

Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different;

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Statistical Methods in Control & Signal Processing

work documents developments in statistical modelling, identification, estimation and signal processing. It also covers such topics as subspace;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

The analysis of bioelectrical signals continues to receive wide attention in research as well as commercially because novel signal;

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An Introduction to Signal Processing for Non-Engineers

the concepts with minimum use of mathematical formulations and more emphasis on visual illustrations. The idea is to present an intuitive;

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Statistical Signal Processing

statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical;

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Statistical Signal Processing

statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical;

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Advanced Digital Signal Processing and Noise Reduction

of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers;

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Signal Processing

is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis;

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An Introduction to Digital Signal Processing

An Introduction to Digital Signal Processing aims at undergraduate students who have basic knowledge in C programming, Circuit Theory;

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Random Signal Analysis

A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear;

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