Think DSP Digital Signal Processing in Python Allen Downey
Material type:
TextSeries: Open textbook libraryDistributor: Open Textbook Library Publisher: Green Tea Press Description: 1 online resourceISBN: 9781491938454Subject(s): Computer Science -- TextbooksLOC classification: QA76Online resources: Access online version | Item type | Current library | Call number | URL | Status | Date due | Barcode | Item holds |
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eBook
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Online Access | QA76 (Browse shelf(Opens below)) | Link to resource | Available |
Preface -- 1 Sounds and signals -- 2 Harmonics -- 3 Non-periodic signals -- 4 Noise -- 5 Autocorrelation -- 6 Discrete Cosine Transform -- 7 Discrete Fourier Transform -- 8 Filtering and Convolution -- 9 Differentiation and Integration -- 10 LTI systems -- 11 Modulation and sampling
Think DSP is an introduction to Digital Signal Processing in Python. The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.
Attribution-NonCommercial
In English.
Description based on online resource
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