Stochastic Signal Processing vs Computer Unleashed

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.

The best way to understand the working principle of computers is to get hands-on experience and build computer systems from scratch. This is a teaching and practice software for computer systems, which can also be viewed as a puzzle game. We have referred to two books, "Code: The Hidden Language of Computer Hardware and Software" and "The Elements of Computing Systems: Building a Modern Computer from First Principles", and designed various levels of challenges with different difficulties in a progressive manner. This makes it easier for everyone to start building simple yet powerful computers from the bottom-up hardware logic, and to better learn various aspects of computer knowledge.