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 Nonlinear Digital Filtering with Python: An Introduction
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing... | | Python Data Analysis
Learn how to apply powerful data analysis techniques with popular open source Python modules
About This Book
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Learn how to find, manipulate, and analyze data using Python
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Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python...
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Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of... |
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Calculus for Computer Graphics
Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.
The author draws upon his... | | Vibration with Control
An advanced look at vibration analysis with a focus on active vibration suppression
As modern devices, from cell phones to airplanes, become lighter and more flexible, vibration suppression and analysis becomes more critical. Vibration with Control, 2nd Edition includes modelling,... | | TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects... |
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Combinatorics: Topics, Techniques, Algorithms
Combinatorics is a subject of increasing importance because of its links with computer science, statistics, and algebra. This textbook stresses common techniques (such as generating functions and recursive construction) that underlie the great variety of subject matter, and the fact that a constructive or algorithmic proof is more valuable... | | Computer Fundamentals and Programming in C
It provides a thorough understanding of the subject and its applications. The book begins with an introduction to the basic features of a digital computer, number systems and binary arithmetic, Boolean algebra and logic gates, software, operating systems, and the internet. A major part of the book provides a detailed coverage of programming... | | |
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