You will use it from an undergraduate school all the way to graduate school and beyond. FREE first 2 chapters in the trial version.

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.

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
You will use it from an undergraduate school all the way to graduate school and beyond. FREE first 2 chapters in the trial version.

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.

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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