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Category: Computers and Technology

The Scientist and Engineer’s Guide to Digital Signal Processing

Digital Signal Processing is the science of using computers to understand these types of data. This includes a wide variety of goals: filtering, speech recognition, image enhancement, data compression, neural networks, and much more. DSP is one of the most powerful technologies that will shape science and engineering in the twenty-first century.

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Principles of Digital Image Synthesis

The big idea in this book is to lay out the rules that tell a computer how to take 3D shapes and lights and create a picture-one that would pass for a photograph of that scene if it existed. So our driving problem is the simulation of Nature’s illumination of a scene, the capturing of that illumination on film, and its presentation to an observer.

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Wavelets and Subband Coding

This ebook fills a useful need in explaining a new view of signal processing based on flexible time frequency analysis and its applications. It has been well received and used by researchers and engineers alike. In addition, it was also used as a textbook for graduate courses at several leading universities.

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SQL Indexing and Tuning

A site explaining SQL indexing to developers—no crap about administration. SQL indexing is the most effective tuning method-yet it is often neglected during development. Use The Index, Luke explains SQL indexing from grounds up and doesn’t stop at ORM tools like Hibernate.

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Gaussian Processes for Machine Learning

In this book we will be concerned with supervised learning, which is the problem of learning input-output mappings from empirical data (the training dataset). Depending on the characteristics of the output, this problem is known as either regression, for continuous outputs, or classification, when outputs are discrete.

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