Signal Processing Quick Study Guide. FREE first 2 chapters in the trial version for Palm OS

About Signal Processing Quick Study Guide. 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.
• 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
• S plane
• Fourier series
• Fourier transform
• Fast Fourier transform
• Bluestein's FFT algorithm
• Bruun's FFT algorithm
• Cooley-Tukey FFT algorithm
• Prime-factor FFT algorithm
• Rader's FFT algorithm
• Gibbs phenomenon
• Impulse response
• Impulse invariance
• Infinite 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
• Speech recognition
• Speech synthesis
• Statistical signal processing
• Image processing
• Control engineering

V. DSP Techniques

• Discrete Fourier transform (DFT)
• A derivation of the discrete Fourier transform
• Discrete-time Fourier transform (DTFT)
• Bilinear transform
• Z-transform
• Aadvanced Z-transform
• Discrete cosine transform
• Modified discrete cosine transform

VI. Sampling

• Sampling
• Sampling rate
• Downsampling
• Upsampling
• Oversampling
• Digital frequency
• Quantization
• Quantization noise
• Signal-to-noise ratio
• Companding
• A-law algorithm
• μ-law algorithm
• Signal reconstruction
• Aliasing
• Anti-aliasing
• Anti-aliasing filter
• Sinc filter
• 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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