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Stochastic Signal Processing
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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What's new

  • Version: 1.12.5
  • Updated:
  • An annoying but benign alert message introduced by the latest version of a third-party module has been eliminated without affecting the module's function. A small mistake in Chapter 7 has been corrected. My bad. The latest versions of many software support modules—under the hood—have been updated.

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«Stochastic Signal Processing» is a Education app for iOS, developed by «Ian Young». It was first released on and last updated on . This app is currently free to download. This app has not yet received any ratings or reviews on AppAgg. On App Store, the current store rating is 4.6 based on 5 votes. Available languages: English. AppAgg continuously tracks the price history, ratings, and user feedback for «Stochastic Signal Processing». Subscribe to this app or follow its RSS feed to get notified about future discounts or updates.
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