(DOWNLOAD) "Signal Processing Study Guide" by MobileReference # eBook PDF Kindle ePub Free
eBook details
- Title: Signal Processing Study Guide
- Author : MobileReference
- Release Date : January 01, 2010
- Genre: Study Aids,Books,Reference,
- Pages : * pages
- Size : 6704 KB
Description
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
Model predictive control
Non-linear control
Optimal control
Process control
Quantitative feedback theory
Robotic unicycle
Robust control
Servomechanism
State space
VisSim
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