A Pragmatic Introduction to Signal Processing

Interactive Signal Processing Tools for Matlab

Spreadsheets for Measurement Calibration

Python: a free and versatile alternative

Artificial Intelligence and Signal Processing

Using AI to develop GUI applications in Python

ChatGPT + Python in Canvas 

Connecting Matlab and Octave with Python 

Mathematica in Signal Processing – A Comparison with Matlab and Python

Live Scripts for smoothing, differentiation, deconvolution, Fourier filter, peak detection, and iterative peak fitting 

Citations in published papers  (PDF file) 

Afterword

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Software used in this essay

Matlab, a high-performance commercial numerical computing environment and programming language that is widely used in research and education. For Windows, Macintosh, and Linux.  Lower-cost Home and Student versions available.

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Octave, a freely downloadable alternative to Matlab, mostly compatible. For Windows, Macintosh, and Linux.

Python, with the Spyder desktop interface, a fast and free general purpose language for Windows, Unix, and Macintosh.

  

Microsoft Excel                    OpenOffice Calc

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Acknowledgements
Thanks to my graduate students, many of whom worked with the techniques described within, to M. Farooq Wahab for his many contributions and for many fruitful discussions, to Baldassarre Cesarano for his close reading and typographical correction of this text, to Dr. Raphael Attie of NASA/Goddard Space Flight Center for corrections, to Diederick C. Niehorster of The University of Hong Kong for code contributions, to Yuri Kalambet of Ampersand Ltd. for mathematical insights, and to the many email correspondents who have made suggestions, asked questions, caught errors, and have shown me new types of data and new applications that have broadened the scope of this work.

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My science and math presentations for the Rockville Science Center, Rockville, Maryland

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