Python scripts supporting the book: Engineering Signal Analysis - from Fourier to filtering: Exercises

The book, Engineering Signal Analysis - Exercises, contains hundreds of exercises, including answers and worked examples, for studying and practicing the theory on signal analysis. Python scripts illustrate how to perform spectral signal analysis on a computer.<br>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 contain only basic Python code aimed at obtaining the requested numerical and graphical results. More advanced code for further optimization and layout (as, for instance, LATEX symbol typesetting) has intentionally been omitted.<br>The companion book, Engineering Signal Analysis - 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. The content is aimed to be taught at the bachelor (undergraduate) level of an academic engineering curriculum.