Think DSP: digital signal processing in Python

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Beteilige Person: Downey, Allen (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Sebastopol, CA O'Reilly Media 2016
Ausgabe:First edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781491938508/?ar
Zusammenfassung: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.
Beschreibung:Includes index. - Online resource; title from title page (viewed July 22, 2016)
Umfang:1 Online-Ressource (1 volume) illustrations
ISBN:9781491938522
1491938528
1491938455
9781491938454