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Introduction to Applied Statistical Signal Analysis

Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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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 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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An R Companion to Applied Regression

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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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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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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An Introduction to Statistical Communication Theory

Theory to a vast spectrum of important physical problems. Included are general analysis of signal detection, estimation, measurement, and related;

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Random Matrix Methods for Wireless Communications

Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can;

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Detection of Signals in Noise

of the statistical theory of signal detection. This book emphasizes those theories that have been found to be particularly useful in practice;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user;

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Noise and Vibration Analysis

application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis * Features numerous;

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Maximum Entropy and Bayesian Methods

Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;

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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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Signal Processing and Data Analysis

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical;

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Statistics for Data Scientists

often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical;

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An Introduction to Statistical Genetic Data Analysis

A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular;

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Applied Univariate, Bivariate, & Multivariate Stat istics

and R contains an accessible introduction to statistical modeling techniques commonly used in the social and natural sciences. The text offers;

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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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Advanced Signal Analysis and its Applications to Mathematical Physics

applied mathematics. Partial differential equations are introduced as an additional tool in signal analysis. The book will be of use to signal;

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Applied Introduction to Digital Signal Processing

, analysis, filtering and modulation of signals in DSP applications. An intuitive and familiar approach using vector arithmetic the mathematics;

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Generalizations of Cyclostationary Signal Processing

analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers. * Performs signal;

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Introduction To Applied Statistical Thermodynamics

One of the goals of An Introduction to Applied Statistical Thermodynamics is to introduce readers to the fundamental ideas and engineering;

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Introduction to Statistical Pattern Recognition

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a;

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