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This book serves as an essential reference for all engineers involved in signal and image processing. The book examines the theories and applications of signal processing in filtering, coding, transmitting, estimating, detecting, analysing, recognising, and reproducing sigmals. Compiles all equations necessary for signal and image processing into one edition. Provides thorough examples of equations and definitions. Offers engineers an immediate reference for all essential formulas and tables. Summarises the theories and applications related to signal and image processing. Approaches a plethora of engineering disciplines, including electrical engineering, computer engineering, mechanical engineering, and biomedical engineering.
List 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.
