A Pragmatic^* Introduction to Signal Processing

Interactive Signal Processing Tools for Matlab

Spreadsheets for Measurement Calibration

Python: a free and fast alternative

Artificial Intelligence and Signal Processing

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

Areas of application where these programs are being applied  (PDF file)

Citations in published papers  (PDF file) 

Afterword

From Telegraph Cables to Artificial Intelligence: Unlocking the Power of Data (PDF file)

Making Waves: The basic math of sound and music. (PowerPoint)

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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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