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If you understand basic mathematics and know how to program with Python, youâ 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 theyâ re applied in the real world. In the first chapter alone, youâ 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.
Youâ 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
Think DSP Digital Signal Processing in Python (Allen B. Downey).pdf
(8.33 MB, 下载次数: 110 )
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