Applied digital signal processing
by Dimitris G. Manolakis · first published 2011
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"Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoreti
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Two texts I keep on my desk that are a bit more rigorous than most: - Oppenheim & Schafer Discrete Time Signal Processing (the Bible of DSP) - Manolakis & Ingle, Applied Digital Signal Processing (good discussion of orthogonal transforms). A lot of what I know about transform analysis comes from self study of linear algebra/vector spaces with some reading here and there in commonly cited papers.…
on “An Interactive Introduction to Fourier Transforms” ↗…overhead of notation (the practice is relatively young and derived from a different tradition of education, and a lot of contemporary notation can seem a little foreign, or is filled with shorthand). Applied Digital Signal Processing by Manolakis & Ingle is the book I always turn to for reference and the code examples don't suck. Oppenheim & Schafer is a classic but frankly only useful as a reference, that tome is a bit dated otherwise.…
on “You need to know what right-half-plane zeros are” ↗