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Fundamentals of Time-Frequency Analyses in Matlab/Octave by [Cohen, Mike X]
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Fundamentals of Time-Frequency Analyses in Matlab/Octave Kindle Edition


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Length: 207 pages Language: English

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Product Description

Time-frequency analyses are critical for characterizing and understanding systems in many areas of science and engineering. This low-cost book focuses on practical implementations of the analyses in Matlab/Octave. The book explains time-frequency analyses through written explanations and many figures, rather than through opaque mathematical equations. Each of 120 figures in the book corresponds to Matlab code that is available in the book and online (sincxpress.com), and can be run, inspected, and modified on any computer. By reading this book and working through the exercises, the reader will gain the knowledge and skills to apply frequency and time-frequency analyses to simulated and to real data. The book also includes introductions to non-frequency-dependent time series analyses including stationarity and de-noising.

Note that you do not need to own a kindle device to read this book. There are free kindle apps for windows/mac/linux, and for smartphones, tablets, etc. You can even read it from a web browser at read.amazon.com.

Product details

  • Format: Kindle Edition
  • File Size: 3980 KB
  • Print Length: 207 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: sinc(x) Press; 1 edition (20 August 2014)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B00MX4ZZ88
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #338,981 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)

Amazon.com: 4.5 out of 5 stars 4 reviews
2 of 2 people found the following review helpful
5.0 out of 5 stars Nicely done! 13 February 2015
By C. Schell - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Nicely done!! This book even offers a custom Kindle Dictionary designed specifically for this book! freely available for download. Sample code available as well. Amazing value, and worth every penny! Author warns about possible formatting problems, but it sure looks good on my Kindle PaperWhite. Author is clearly very at home with Matlab / and Octave. I own multiple Matlab books, but this is my favorite...and especially for the price, you won;t find better value! Thanks!
1 of 1 people found the following review helpful
5.0 out of 5 stars Best for programmer with no matlab / octave and digital signal processing experience. 28 February 2016
By elviejo79 - Published on Amazon.com
Format: Kindle Edition
I'm a complete beginner to Digital Signal Processing / Time-Frequency Analysis and Octave /Matlab.
However I'm very experienced in programming for other imperative languages (python, php, go)

I'm the kind of person that learns better by looking at how something is implemented in code and then reading the explanation.
In this regard the book is excellent since it strikes the right balance of code, explanation, and density of information.

Due to the care taken in the examples I was able to execute all (except one) in Gnu - Octave.
Which was perfect since I didn't want to buy a Matlab license.

Something that sets this book apart is it's emphasis on how to simulate data from the real world.

All in all an excellent book.
1 of 1 people found the following review helpful
4.0 out of 5 stars Four Stars 17 February 2016
By siddharth nayak - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Loved it.. M. X. Cohen takes time frequency descriptions to a new level of understanding. !!!
4.0 out of 5 stars A pragmatic introduction to time-frequency analysis 10 January 2016
By Critic at large - Published on Amazon.com
Format: Kindle Edition Verified Purchase
A pragmatic results oriented reference. This is a how-to book. Useful and well organized