Stochastic Signal Processing 1.12.4

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. This textbook is intended for individuals with prior training in introductory signal processing and introductory probability theory. Techniques are developed to process such signals to extract useful information. Case studies range from music to photographic images to oil prices to climate data to the motion of individual biomolecules.

The interactive textbook ("iBook") utilizes 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 challenging.

An innovative aspect introduces 59 laboratory experiments in signal processing that leverage your device's interactive capabilities. These experiments involve the camera, microphone, speakers, and graphical user interface. They are not simulations but real examples of digital signal processing on your device. In this era of at-home and online learning, this approach provides a practical way to learn signal processing through study and experimentation.