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Introduction To Digital Signal Processing: Computer Musically Speaking
Introduction To Digital Signal Processing: Computer Musically Speaking

This book offers an introduction to digital signal processing (DSP) with an emphasis on audio signals and computer music. It covers the mathematical foundations of DSP, important DSP theories including sampling, LTI systems, the z-transform, FIR/IIR filters, classic sound synthesis algorithms, various digital effects, topics in time and...

A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python...

Introduction to Genetic Algorithms
Introduction to Genetic Algorithms

The origin of evolutionary algorithmswas an attempt tomimic some of the processes taking place in natural evolution. Although the details of biological evolution are not completely understood (even nowadays), there exist some points supported by strong experimental evidence:

• Evolution is a process operating over chromosomes...

Fast Fourier Transform - Algorithms and Applications (Signals and Communication Technology)
Fast Fourier Transform - Algorithms and Applications (Signals and Communication Technology)

This book presents an introduction to the principles of the fast Fourier transform (FFT). It covers FFTs, frequency domain filtering, and applications to video and audio signal processing.

As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of the essential...

Core Concepts in Data Analysis: Summarization, Correlation and Visualization
Core Concepts in Data Analysis: Summarization, Correlation and Visualization

In this textbook, I take an unconventional approach to data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are...

Fuzzy Logic with Engineering Applications, Third Edition
Fuzzy Logic with Engineering Applications, Third Edition

The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based...

Design of Image Processing Embedded Systems Using Multidimensional Data Flow
Design of Image Processing Embedded Systems Using Multidimensional Data Flow

With the availability of chips offering constantly increasing computational performance and functionality, design of more and more complex applications becomes possible. This is particularly true for the domain of image processing, which is characterized by huge computation efforts. Unfortunately, this evolution risks to be stopped by...

Numerical Techniques for Chemical and Biological Engineers Using MATLAB®: A Simple Bifurcation Approach
Numerical Techniques for Chemical and Biological Engineers Using MATLAB®: A Simple Bifurcation Approach

This book has come about by chance.

The first author, Said Elnashaie, and his wife, Shadia Elshishini, moved next door to the second author, Frank Uhlig, and his family in 2000. The two families became good neighbors and friends. Their chats covered the usual topics and occasionally included random teaching, departmental, and...

Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science)
Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science)

Mathematics and mathematical modelling are of central importance in computer science. For this reason the teaching concepts of mathematics in computer science have to be constantly reconsidered, and the choice of material and the motivation have to be adapted. This applies in particular to mathematical analysis, whose significance has to be...

Modeling of Curves and Surfaces with MATLAB®
Modeling of Curves and Surfaces with MATLAB®

This text on geometry modeling is devoted to a number of central geometrical topics— graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces— and presents some elementary methods for analytical modeling and visualization of them.

In 1872 F. Klein proposed his Erlangen Programme in...

An Introduction to Modern Mathematical Computing: With Maple(TM)
An Introduction to Modern Mathematical Computing: With Maple(TM)

Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s”...

ALGORITHMS FOR LINEAR-QUADRATIC OPTIMIZATION
ALGORITHMS FOR LINEAR-QUADRATIC OPTIMIZATION

Linear-quadratic optimization is one of the most exciting topics in the con trol engineering literature of recent decades. The interest in linear optimal dynamical systems, and especially in those with quadratic cost functional, can be explained by both the richness of properties these systems possess, and the pragmatic value and physical...

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