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3 Open-Access Textbooks

Some open-access textbooks on signal processing include the following (which are sorted alphabetically by the last name of the first author):

  1. Michael D. Adams, Signals and Systems, Edition 4.0, University of Victoria, Victoria, BC, Canada, Jan. 2022, xliv + 690 pages. ISBN 978-0-9879197-7-9 (PDF).
  2. Michael D. Adams, Lecture Slides for Signals and Systems, Edition 4.0, University of Victoria, Victoria, BC, Canada, Jan. 2022, xviii + 787 slides, ISBN 978-0-9879197-9-3 (PDF).
  3. Michael D. Adams, Multiresolution Signal and Geometry Processing: Filter Banks, Wavelets, and Subdivision (Version 2013-09-26), University of Victoria, Victoria, BC, Canada, Sept. 2013, xxxviii + 538 pages. ISBN 978-1-55058-508-7 (PDF), ISBN 978-1-55058-507-0 (print).
  4. Michael D. Adams, Lecture Slides for Multiresolution Signal and Geometry Processing (Version 2015-02-03), University of Victoria, Victoria, BC, Canada, Feb. 2015, xi + 587 slides, ISBN 978-1-55058-535-3 (print), ISBN 978-1-55058-536-0 (PDF).
  5. Andrew K. Bolstad and Julie A. Dickerson, Open Signals and Systems Laboratory Exercises, Iowa State University Digital Press, Ames, IA, USA, Aug. 2021, doi: 10.31274/isudp.2021.68, 60 pages.
  6. Baraniuk et al., Signals and Systems, Rice University, Houston, TX, USA.
  7. C. Sidney Burrus, Fast Fourier Transforms, Rice University, 2012, iv+248 pages.
  8. Allen B. Downey, Think DSP — Digital Signal Processing in Python, Version 1.1.4, Green Tea Press, Needham, MA, USA, 2014, xii+141 pages.
  9. Robert M. Gray and Lee D. Davisson, Introduction to Statistical Signal Processing, 2011, xiv+463 pages.
  10. Don Johnson, Fundamentals of Electrical Engineering I, Rice University, 2014, vi+326 pages.
  11. Douglas L. Jones, Digital Signal Processing: A User’s Guide, 2010.
  12. Jelena Kovačević, Vivek K. Goyal, and Martin Vetterli, Fourier and Wavelet Signal Processing, Jan. 2013, xxii+272 pages.
  13. Andrew D. Lewis, A Mathematical Introduction to Signals and Systems, Department of Math and Statistics, Queen’s University, Kingston, ON, Canada. 5 volumes.
  14. Masaaki Nagahara, Sparsity Methods for Systems and Control, Boston-Delft: now publishers, Sept. 2020, doi:10.1561/9781680837254, x+204 pages.
  15. Sophocles J. Orfanidis, Introduction to Signal Processing, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA, 2010, xvi+783 pages.
  16. Sophocles J. Orfanidis, Optimum Signal Processing, Second edition, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA, 2007, xiii+377 pages.
  17. Sophocles J. Orfanidis, Applied Optimum Signal Processing, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA, 2018, x+994 pages.
  18. Paolo Prandoni and Martin Vetterli, Signal Processing for Communications, CRC Press, 2008, xv+371 pages.
  19. Sadasivan Puthusserypady, Applied Signal Processing, now publishers, Hanover, MA, USA, March 2021, 10.1561/9781680839791, xxiii+475 pages.
  20. Julius O. Smith III, Mathematics of the Discrete Fourier Transform With Audio Applications, Second edition, Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, CA, USA.
  21. Julius O. Smith III, Introduction to Digital Filters With Audio Applications, Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, CA, USA.
  22. Steven W. Smith, The Scientist and Engineer’s Guide to Digital Signal Processing, Second edition, California Technical Publishing, San Diego, CA, USA, 1999, xiv+650 pages.
  23. Michael Stiber, Bilin Zhang Stiber, and Eric C. Larson, Signal Computing: Digital Signals in the Software Domain, 2020.
  24. Martin Vetterli, Jelena Kovačević, and Vivek K. Goyal, Foundations of Signal Processing, May 2014, xxvi+715 pages.
  25. Martin Vetterli and Jelena Kovačević, Wavelets and Subband Coding, 2007, xvi+505 pages.

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