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cyclostationary.blog | ||
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therealmjp.github.io
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| | | | | For a theoretical understanding of aliasing and anti-aliasing, we can turn to the fields of signal processing[1] and sampling theory[2]. This article will explain some of the basics ofthese two related field in my own words, taking a more theoretical point of view. In the following article the concepts covered here will be used to analyze common aspects of real-time graphics, so that we can describe them in terms of signal processing. | |
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thenumb.at
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| | | | | [AI summary] The text discusses the representation of functions as vectors and their applications in various domains such as signal processing, geometry, and physics. It explains how functions can be treated as vectors in a vector space, leading to the concept of eigenfunctions and eigenvalues, which are crucial for understanding and manipulating signals and geometries. The text also covers different types of Laplacians, including the standard Laplacian, higher-dimensional Laplacians, and the Laplace-Beltrami operator, and their applications in fields like image compression, computer graphics, and quantum mechanics. The discussion includes spherical harmonics, which are used in representing functions on spheres, and their applications in game engines and glo... | |
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ataspinar.com
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| | | | | [latexpage] Introduction Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or En... | |
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www.capicua.com
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| | | Machine Learning has gained traction over the last few years, cybersecurity being one of them. Let's learn how to use it to boost your system's protection! | ||
