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Think DSP
Allen B. Downey
€ 31.99
€ 22.67
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Description for Think DSP
Paperback. Think DSP: Digital Signal Processing in Python is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. Num Pages: 168 pages, black & white illustrations. BIC Classification: UYS. Category: (P) Professional & Vocational. Dimension: 180 x 266 x 15. Weight in Grams: 290.
Think DSP: Digital Signal Processing in Python is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. By the end of the first chapter, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Subsequent chapters follow a logical progression that develops the important ideas incrementally, with a focus on applications.
Think DSP: Digital Signal Processing in Python is an introduction to signal processing and system analysis using a computational approach. The premise of this book (like the others in the Think X series) is that if you know how to program, you can use that skill to learn other things. By the end of the first chapter, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Subsequent chapters follow a logical progression that develops the important ideas incrementally, with a focus on applications.
Product Details
Publisher
O´Reilly Media, Inc, USA
Format
Paperback
Publication date
2016
Condition
New
Weight
290g
Number of Pages
168
Place of Publication
Sebastopol, United States
ISBN
9781491938454
SKU
V9781491938454
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3
About Allen B. Downey
Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.
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