Riassunto:
Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
Handbook of Formulas and Tables for Signal Processing a must-have reference for all engineering professionals involved in signal and image processing. Collecting the most useful formulas and tables - such as integral tables, formulas of algebra, formulas of trigonometry - the text includes:
Material for the deterministic and statistical signal processing areas
Examples explaining the use of the given formula
Numerous definitions
Many figures that have been added to special chapters
Handbook of Formulas and Tables for Signal Processing brings together - in one textbook - all the equations necessary for signal and image processing for professionals transforming anything from a physical to a manipulated form, creating a new standard for any person starting a future in the broad, extensive area of research.
Contenuti:
Fourier Series
The Laplace Transform
One-Dimensional Continuous Fourier Transform
Discrete-Time Fourier Transform
The Delta Function
The One-Dimension Z Transform
Windows
Two-Dimensional Z Transform
Analytical Methods
Signals and Their Representation
Discrete Fourier Transform
Analog Filter Approximations
Sine and Cosine Transforms
The Hartley Transform
he Hilbert Transform
The Radon and Abel Transforms
The Hankel Transform
The Mellin Transform
Time-Frequency Transformations
Complex Variable Analysis
Legendre Polynomials
Hermite Polynomials
Laguere Polynomials
Chebyshev Polynomials
Bessel Functions
Zernike Polynomials
Special Functions
Asymptotic Expansions
Non-Recursive Filters
Recursive Filters
Recursive Filters Satisfying Prescribed Specifications
Statistics
Matrices
Random Variables and Stochastic Processes
Random Digital Signal Processing
Spectral Estimation of Random Discrete Signals
Adaptive Filters
Band-Limited Functions and Sampling Theorem
Higher-Order Statistical Analysis
Stochastic Simulations
Nonlinear Digital Filtering
Wavelet Transforms
Trigonometric and Hyperbolic Functions
Algebra
Calculus
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