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 Other books in
this series include Think Stats and Think Bayes, also by Allen Downey.
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Produktdetaljer
ISBN
9781491938515
Publisert
2016
Utgave
1. utgave
Utgiver
Vendor
O'Reilly Media
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter