Think DSP
Subtitle: digital signal processing in Python
By: Allen B. Downey
Publisher: O'Reilly Media
Published: 2016
Language: eng
Number of pages: 152
ISBN-13: 9781491938454
Subjects: Signal processing; Python (Computer program language); Data processing; Digital techniques
Description: If you understand basic mathematics and know how to program with Python, youre 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 theyre applied in the real world. In the first chapter alone, youll 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. Youll 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.
Notes: Includes index.
Table of contents: title: Sounds and signals; title: Harmonics; title: Non-periodic signals; title: Noise; title: Autocorrelation; title: Discrete cosine transform; title: Discrete fourier transform; title: Filtering and convolution; title: Differentiation and integration; title: LTI systems; title: Modulation and sampling.