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Zoekresultaten (4)

HBO/WO

MBO

5 februari 2026

Engineering Signal Analysis

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 book concludes with an introduction to linear systems and signal filtering.

Open (Access) Tekst Boek

Christian Tiberius, Max Mulder

2023

Lecture Notes chapter 5: Fourier Transform

This "Maker Lab" course uses Jupyter Notebook files and the Python programming language for data analysis and visualization and uncertainty analysis. Chapter 5 of the lecture notes introduces the discrete Fourier Transform using Python. This lecture notes document is presented in the Maker Lab course as optional reading, but sometimes relevant to students with projects involving (for example) signal analyses in the temporal frequency domain. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the attached PDF will give an idea of its content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324

Document

Forrest Bradbury

14 april 2026

Engineering Signal Analysis

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.

Open (Access) Tekst Boek

Max Mulder, Rowenna Wijlens, Christian Tiberius

2022

Mathematics for Biomedical Physics

Mathematics for Biomedical Physics is an open access peer-reviewed textbook geared to introduce several mathematical topics at the rudimentary level so that students can appreciate the applications of mathematics to the interdisciplinary field of biomedical physics. Most of the topics are presented in their simplest but rigorous form so that students can easily understand the advanced form of these topics when the need arises. Several end-of-chapter problems and chapter examples relate the applications of mathematics to biomedical physics. After mastering the topics of this book, students would be ready to embark on quantitative thinking in various topics of biology and medicine. Table of Contents Chapter 1: Differential Calculus Chapter 2: Integral Calculus Chapter 3: Infinite Series Interlude Chapter 4: Fourier Series Chapter 5: Complex Variables Chapter 6: Determinants Chapter 7: Matrices Chapter 8: Vector Analysis Chapter 9: Curvilinear Coordinates and Multiple Integrals Chapter 10: Vector Calculus Chapter 11: First Order Differential Equations Chapter 12: Diffusion Equation Chapter 13: Probability Distribution Functions Appendix A: Limiting Value of Sinθ/θ as θ->0 Appendix B: Appendix C: Appendix D: Areas Under the Standard Normal Curve

Open (Access) Tekst Boek

Jogindra M. Wadehra