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...
Gespeichert in:
Beteilige Person: | |
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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 |
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spelling | Downey, Allen VerfasserIn aut Think DSP digital signal processing in Python Allen B. Downey First edition. Sebastopol, CA O'Reilly Media 2016 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from title page (viewed July 22, 2016) 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. Signal processing Digital techniques Electric filters, Digital Traitement du signal ; Techniques numériques Filtres numériques TECHNOLOGY & ENGINEERING ; Mechanical Signal processing ; Digital techniques |
spellingShingle | Downey, Allen Think DSP digital signal processing in Python Signal processing Digital techniques Electric filters, Digital Traitement du signal ; Techniques numériques Filtres numériques TECHNOLOGY & ENGINEERING ; Mechanical Signal processing ; Digital techniques |
title | Think DSP digital signal processing in Python |
title_auth | Think DSP digital signal processing in Python |
title_exact_search | Think DSP digital signal processing in Python |
title_full | Think DSP digital signal processing in Python Allen B. Downey |
title_fullStr | Think DSP digital signal processing in Python Allen B. Downey |
title_full_unstemmed | Think DSP digital signal processing in Python Allen B. Downey |
title_short | Think DSP |
title_sort | think dsp digital signal processing in python |
title_sub | digital signal processing in Python |
topic | Signal processing Digital techniques Electric filters, Digital Traitement du signal ; Techniques numériques Filtres numériques TECHNOLOGY & ENGINEERING ; Mechanical Signal processing ; Digital techniques |
topic_facet | Signal processing Digital techniques Electric filters, Digital Traitement du signal ; Techniques numériques Filtres numériques TECHNOLOGY & ENGINEERING ; Mechanical Signal processing ; Digital techniques |
work_keys_str_mv | AT downeyallen thinkdspdigitalsignalprocessinginpython |