Stochastic Signal Processing 1.4.2

Speech, music, seismic vibrations, oil prices, and climate measurements are all examples of stochastic (random) signals. In this introductory textbook—intended for individuals with prior training in introductory signal processing and introductory probability theory—we present 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 tablet's interactive capabilities to offer 44 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 mobile device.