If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, Think DSP: Digital Signal Processing in Python introduces techniques by showing you how they’re applied in the real world.
In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform.
Topics included: Sounds and signals • Harmonics • Non-periodic signals • Noise • Autocorrelation • Discrete Cosine Transform • Discrete Fourier Transform • Filtering and Convolution • Differentiation and Integration • LTI systems • Modulation and sampling.
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Publisher: Green Tea Press
Published: June 2016
Format(s): PDF, HTML(Online)
File size: 4.03 MB
Number of pages: 164
Download / View Link(s): PDF, Online