Think DSP : digital signal processing in Python
Allen Downey (Author)
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, this practical book 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. This book also provides exercises and code examples to help you understand the material. You'll explore: Periodic signals and their spectrums, Harmonic structure of simple waveforms, Chirps and other sounds whose spectrum changes over time, Noise signals and natural sources of noise, The autocorrelation function for estimating pitch, The discrete cosine transform (DCT) for compression, The Fast Fourier Transform for spectral analysis, Relating operations in time to filters in the frequency domain, Linear time-invariant (LTI) system theory, Amplitude modulation (AM) used in radio. -- Provided by publisher
eBook, English, 2016
First edition View all formats and editions
O'Reilly Media, Sebastopol, CA, 2016
1 online resource (1 volume) : illustrations
9781491938522, 9781491938454, 1491938528, 1491938455
953971625
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
Includes index
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