Signal Processing Study Guide : Fourier analysis, FFT algorithms, Impulse response, Laplace transform, Transfer function, Nyquist theorem, Z-transform, DSP Techniques, Image proc. & more [NOOK Book]

Overview

Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.

Features

  • Clear and concise explanations
  • Difficult concepts ...
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Signal Processing Study Guide : Fourier analysis, FFT algorithms, Impulse response, Laplace transform, Transfer function, Nyquist theorem, Z-transform, DSP Techniques, Image proc. & more

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Overview

Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.

Features

  • Clear and concise explanations
  • Difficult concepts are explained in simple terms
  • Illustrated with graphs and diagrams
  • Search for the words or phrases
  • Access the guide anytime, anywhere - at home, on the train, in the subway.
  • Use your down time to prepare for an exam.
  • Always have the guide available for a quick reference.
  • Automatic synchronization between the handheld and the desktop PC. You could read half of the book on the handheld, then finish reading on the desktop. Annotations and drawings are also synchronized.

Table of Contents

  • I. Foreword
  • II Mathematical Analysis
  • III. DSP Theory
  • IV. DSP Sub-fields
  • V. DSP Techniques
  • VI. Sampling
  • VII. Statistical Signal Processing
  • VIII. Image processing
  • IX. Control engineering
  • X. DSP Architecture

I. Foreword

  • About Signal Processing
  • About Digital signal processing

II. Mathematical Analysis

  • Fourier analysis
  • Fourier series
  • Fourier transform
  • Fast Fourier transform
  • Gibbs phenomenon
  • Impulse response
  • Laplace transform
  • Two-sided Laplace transform
  • Transfer function
  • Dirac comb
  • Dirac delta function
  • Sinc function
  • Goertzel algorithm
  • Abel transform
  • Spline interpolation
  • Stochastic differential equation

III. DSP Theory

  • Nyquist-Shannon sampling theorem
  • Whittaker-Shannon interpolation formula
  • Estimation theory
  • Detection theory
  • LTI system theory

IV. DSP Sub-fields

  • Audio signal processing
  • Digital image processing
  • Speech processing
  • Statistical signal processing
  • Image processing
  • Control engineering

V. DSP Techniques

  • Discrete Fourier transform (DFT)
  • Bilinear transform
  • Z-transform
  • Aadvanced Z-transform
  • Discrete cosine transform
  • Modified discrete cosine transform

VI. Sampling

  • Sampling
  • Digital frequency
  • Quantization
  • Companding
  • Signal reconstruction
  • Aliasing
  • Reconstruction filter
  • Negative frequency

VII. Statistical Signal Processing

  • Bayes theorem
  • Bayes estimator
  • Recursive Bayesian estimation
  • Wiener filter
  • Kalman filter
  • Fast Kalman filter
  • Adaptive filter
  • Finite impulse response
  • Statistical classification
  • Hidden Markov models

VIII. Image processing

  • Principal components analysis
  • Independent component analysis
  • Self-organizing maps
  • Neural networks
  • Computer vision
  • Affine shape adaptation
  • Blob detection
  • Lanczos resampling
  • Tomographic reconstruction

IX. Control engineering

  • Adaptive control
  • Building Automation
  • Control reconfiguration
  • Feedback
  • H infinity
  • Intelligent control
  • Laplace transform
  • Model predictive control
  • Non-linear control
  • Optimal control
  • Process control
  • Quantitative feedback theory
  • Robotic unicycle
  • Robust control
  • Servomechanism
  • State space
  • VisSim

X. DSP Architecture

  • Digital signal processor
  • von Neumann architectur


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Product Details

  • ISBN-13: 9781605010670
  • Publisher: MobileReference
  • Publication date: 1/1/2010
  • Series: Mobi Study Guides
  • Sold by: Barnes & Noble
  • Format: eBook
  • Sales rank: 649,065
  • File size: 7 MB

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