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Think DSP: Digital Signal Processing in Python 1st Edition

by Allen Downey (Author)
4.0 4.0 out of 5 stars 52 ratings
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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

    Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

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  1. ISBN-10
    1491938455
  2. ISBN-13
    978-1491938454
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    August 30, 2016
  6. Language
    English
  7. Dimensions
    7.1 x 0.3 x 9 inches
  8. Print length
    165 pages
  9. See all details
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4 out of 5 stars
52 global ratings

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Top reviews from the United States

  • G. Feldman
    5.0 out of 5 stars Excellent book to explore digital signal processing
    Reviewed in the United States on March 10, 2018
    Verified Purchase
    Excellent book to explore digital signal processing. Follow the author's advice to install "Anaconda" and use "Spyder" to open the programs he provides for download. This is a clear and concise way to play with advanced concepts for processing signals. Recommend "Practical Signal Processing" by Mark Owen as an adjunct which takes a deeper dive into the underlying math.
    8 people found this helpful
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  • Amazon Customer
    1.0 out of 5 stars glossy and lazy
    Reviewed in the United States on December 31, 2020
    Verified Purchase
    You could write this book in a month or two of studying DSP from free online resources. I'm pretty shocked how glossy this is. Don't expect to be able to write a production ready synth. I'd like to see one of these books go into audio encodings and formats. You know, the most basic and most important stuff you'll encounter when writing your own DSP application. Just another drone professor vomiting's up what he vomits in class. Add some practicality and realism.
    8 people found this helpful
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  • Linda Jesson
    5.0 out of 5 stars Best book on DSP implemented in Python!
    Reviewed in the United States on December 30, 2019
    Verified Purchase
    Great well-written book on signal processing theory and practice in Python...

    Joe
    2 people found this helpful
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  • AlexS
    5.0 out of 5 stars Goog book for beginners.
    Reviewed in the United States on June 14, 2017
    Verified Purchase
    Simple and good book that explains signal processing basics with python samples. Very good approach for learning DSP and python.
    9 people found this helpful
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  • rdz
    5.0 out of 5 stars Five Stars
    Reviewed in the United States on May 7, 2018
    Verified Purchase
    Good intro to dsp for beginners
    2 people found this helpful
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  • K
    1.0 out of 5 stars Ruined by idiotic and unnecessary and MASSIVE complexity in stupidly designed custom code
    Reviewed in the United States on March 29, 2018
    Echoing another reviewer, the custom code requirement means you learn their custom code rather than, you know, the standard modules numpy and scipy. For example, at least four separate classes are required, representing hundreds of lines of code, are required just to execute the first six lines of code in the book. All those lines do is define two signals, a cosine and a sine, sums them, then plots them. This, infuriatingly, hides some basic steps. Here's how you can create a cosine wave with frequency 440Hz:

    duration = 0.5
    framerate = 11025
    n = round(duration*framerate)
    ts = np.arange(n)/framerate
    amp = 1.0
    freq = 440
    offset = 0.0
    cos_sig = amp * numpy.cos( 2*numpy.pi*ts*freq + offset)
    freq = 880
    sin_sig = amp * numpy.sin( 2*numpy.pi*ts*freq + offset)

    Instead, these clowns have

    cos_sig = thinkdsp.CosSignal(freq=440,amp=1.0,offset=0)
    sin_sig = thinkdsp.SinSignal(freq=440,amp=1.0,offset=0)
    mix = cos_sig + sin_sig

    where CosSignal and SinSignal are custom classes, not functions, which inherits four separate classes, NONE of which are necessary, and all of which serve to make things more complex than necessary, on the pretense this makes things easier. The classes these class inherit are a generic Sinusoid and SumSignal classes, which inherits a Signal class, which depends on a Wave class, which performs plotting using pyplot in matplotlib. None of which make anything really any easier, but does serve to hide a lot of basic functionality, like hiding how to use numpy, matplotlib, and pyplot.

    In short, just to get through the first two pages, you have to have access to github to import their ridiculous thinkdsp, thinkplot, and thinkstats, totalling around 5500 lines of code, or you are just screwed and can't use this book. All decent teaching books develops code you need as necessary and do NOT require half a dozen files with thousands of lines of custom code just to get to page 2. What kind of clown does this when trying to write a book to show how to do basic signal processing? Someone not interested in teaching you DSP, but trying to show off their subpar programming skills by adding unnecessary complexity (a sure sign of a basic programmer, not a good).

    The authors openly admit their custom code is nothing more than wrappers in numpy and scipy, so the authors KNEW they were writing a crappy book and filling it with a LOT of unnecessary complexity. Bad code is bad code. Using bad code to teach makes bad teaching. It's obvious Allen B. Downey has spent his career in academia, where writing quality code doesn't matter.
    87 people found this helpful
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  • JoeinMD
    5.0 out of 5 stars Excellent Introduction to Mid-level DSP Book
    Reviewed in the United States on May 23, 2020
    After a quick read for content, I am very pleased with this book. It is one of the few I've found with a mix of practical and theoretical. The examples and problems are excellent if a bit elementary. Some of the criticism about using his own packages is over-the-top but not unjustified -- straight use of NumPy, etc. would be nice, but the author was (successfully) attempting to hide some complexity.
    3 people found this helpful
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  • Expert Reviewer
    1.0 out of 5 stars One Star
    Reviewed in the United States on July 10, 2017
    O'Reilly needs to stop having their authors write custom code for their books. Teach with the standard toolboxes.
    49 people found this helpful
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  • S A HUGHES
    5.0 out of 5 stars Clearly written
    Reviewed in the United Kingdom on August 28, 2021
    Verified Purchase
    This was just what I needed to extend my knowledge on the subject.
    Report
  • Div Master
    4.0 out of 5 stars Ottimo libro
    Reviewed in Italy on May 10, 2021
    Verified Purchase
    l'unica peca è che scritto tutto in inglese, quindi nei concetti pratici non si capisce molto, e gli esempi sono un po datati, metto 4 stelle solo per questo per il resto non posso lamentarmi.
    Report
  • Xabier Fernandez
    1.0 out of 5 stars Doesn't explain anything.
    Reviewed in Spain on October 13, 2019
    Verified Purchase
    As O'reilly has accustomed us lately, this is another book that teaches you a formula or function, and has the face of saying that 'now that we know how windowing works...', for example. Even if it doesn't explain anything.
    Report
  • Amazon Customer
    4.0 out of 5 stars Good book
    Reviewed in Germany on February 4, 2019
    Verified Purchase
    Hi,
    I like this book, it is written in a simple language.
    However I would prefer code examples only using standard off the shelf, mainstream libraries.
    Report
  • Trading Central
    5.0 out of 5 stars Perfect Book for the Coder Wanting to Learn About Digital Signal Processing
    Reviewed in Canada on September 23, 2016
    Verified Purchase
    Short, concise and to the point just the way it should be! For the python coder looking for good code this book will be your cookbook and starting point. The author has taken a complex subject area and made it accessible for the coder using python code and simple english explanations that provides a good starting point for understanding digital signal processing.
    Report