Think DSP : digital signal processing in Python
Resource Information
The work Think DSP : digital signal processing in Python represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Think DSP : digital signal processing in Python
Resource Information
The work Think DSP : digital signal processing in Python represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Think DSP : digital signal processing in Python
- Title remainder
- digital signal processing in Python
- Statement of responsibility
- Allen B. Downey
- Language
- eng
- Summary
- 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
- Cataloging source
- UMI
- Dewey number
- 621.3822
- Illustrations
- illustrations
- Index
- index present
- LC call number
- TK5102.9
- Literary form
- non fiction
- Nature of contents
- dictionaries
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