The author wanted a text that would bring together the ideas behind many of the more recent distributed systems – systems such as Amazon’s Dynamo, Google’s BigTable and MapReduce, Apache’s Hadoop and so on. In this text he has tried to provide...
The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibrations, and countless other applications. Digital Signal Processing is the science of using...
Inspiration begins with imagination and the spirit to create. Then comes the need to communicate, to share an idea or thought. Grab a pencil and you can make it real: a picture, abstraction made concrete, ideas preserved in time. Our hearts and minds are moved to tell...
This is a book for the computationalist, whether a working programmer or anyone interested in methods of computation. The focus is on material that does not usually appear in textbooks on algorithms. Where necessary the underlying ideas are explained and the...
A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. In that context, transforms or linear expansions have always played a key role. Linear expansions are present in Fourier’s original work...
