Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications: Number Theory Based Algorithms (Computer Science and Engineering)

Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications: Number Theory Based Algorithms (Computer Science and Engineering)

An engineer’s companion to using numerical methods for the solution of complex mathematical problems. It explains the theory behind current numerical methods and shows in a step-by-step fashion how to use them, focusing on interpolation and regression models. The methods and examples are taken from a wide range of scientific and engineering fields, including chemical engineering, electrical engineering, physics, medicine, and environmental science. The material is based on several courses for scientists and engineers taught by the authors, and all the exercises and problems are classroom-tested. The required software is provided by way of a freely accessible program library at the University of Milan that provides up-to-date software tools for all the methods described in the book.

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