Engineering Signal Analysis: Exercises by Max Mulder (.ePUB)+
File Size: 10 MB
Engineering Signal Analysis: From Fourier to filtering: Exercises by Max Mulder, Rowenna Wijlens, Christian Tiberius
Requirements: .ePUB, .PDF reader, 10 MB | True PDF, EPUB
Overview: This book, Exercises, contains hundreds of exercises, including answers and worked examples, for studying and practicing the theory. Python scripts illustrate how to perform spectral signal analysis on a computer. The companion book, Theory, is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer’s perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time. It then introduces discrete-time signals, addressing how sampling and finite signal duration affect spectral analysis. It discusses the discrete Fourier transform and its use in spectral estimation. The Theory book concludes with an introduction to linear systems and signal filtering. This book contains many exercises, ranging from completing small theoretical proofs, performing derivations, working out numerical calculation problems to doing computer-based assignments with Python. All exercises are accompanied by (comprehensive) solutions, to facilitate learning the material and extend insight and understanding. With Python, the reader can carry out advanced and more elaborate exercises. It allows for quick and easy visualization of signals in the time and frequency domains, which substantially contributes to the learning process. The scripts included in this book (available online via book site) contain only basic Python code aimed at obtaining the requested numerical and graphical results. More advanced code for further optimization and layout has intentionally been omitted.
The companion book, Engineering Signal Analysis: From Fourier to filtering: Theory
Genre: Non-Fiction > Tech & Devices
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