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:
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.
Table of Contents
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. The 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.
Alexander D. Poularikas