Stochastic Signal Processing - Reviews, Revenue and Downloads - Apple App Store

Description

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. In this textbook—intended for individuals with prior training in introductory signal processing and introductory probability theory—we develop techniques to process such signals to extract useful information. We present case studies ranging from music to photographic images to oil prices to climate data to the motion of individual biomolecules. This textbook, as an interactive textbook ("iBook"), makes use of your device's ability to display dynamic information through films and animations and to hear the results of the techniques applied to music. At the end of every chapter there are homework problems ranging from easy to "olympic".

A new and exciting aspect is that we make use of your device's interactive capabilities to offer 59 laboratory experiments in signal processing. The experiments use the camera, the microphone, the speakers, and the graphical user interface. These experiments are not simulations; they are examples of real digital processing of signals in your device. In this time of at-home and online learning, this is the way to learn signal processing through study and experimentation.

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4.6 out of 5

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Displayed Info Stuck in Landscape Mode

After rotating smartphone to landscape mode, the displayed info would not return to portrait mode. Restarting device did not resolve problem. Did not re-install app due to limited data available for device.

This is an excellent textbook by an excellent educator.

Prof. I.T. (Ted) Young was, by far, the best lecturer I had the fortune of learning from during my college years. He inspired me to become an educator myself. I’m glad to see he’s still finding ways to inspire new generations of students. This textbook provides a clear and concise exposition of stochastic signal processing as typically taught to 3rd or 4th year college students. It presents the topic in a manner that encourages thinking about the meaning behind the equations, and encourages exploration. The exercises ask all the right questions to ensure students will want to dig deep and really understand the underlying concepts. This being a digital book, it has the advantage of including the examples and live demos you’d give during a lecture. There are audio and video snippets, as well as interactive experiments that are fun and highly instructive. What is missing in the book is Ted’s wonderful delivery and his uncanny ability to know when to lighten the load with one of his anecdotes. You’ll have to try to catch him in a lecture room for that.

The best!

If you’re looking for stochastic signal processing book, this is the one for you!

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