Signal Processing Quick Study Guide. FREE first 2 chapters in the trial version (Mobile)

Overview:

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 -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. 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