Think DSP Digital Signal Processing in Python

CerberusX

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: 109 )

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