Brownian Motion Fluctuations, Dynamics, and Applications

很好的一本wpf中文版书籍，共3个部分，安装包是demo code

经典书籍，值得收藏

Network Flows – Theory, Algorithms, And Applications

锁相环好书许多电子设备要正常工作，通常需要外部的输入信号与内部的振荡信号同步，利用锁相环路就可以实现这个目的。 锁相环路是一种反馈控制电路，简称锁相环（PLL）。

DFT的matlab源代码DIST的BIST应用 随附的项目文件是指创建用于测试任何组合电路的内置自测。该代码用VHDL硬件描述性语言编写。 在我的示例中，被测电路（CUT）是一个4位乘法器以及一个六阶LFSR和MISR，以使系统可以在片上进行测试。

巴沙勒姆经典书中的源代码，对于深入了解数据关联以及跟踪方面很有意义。

Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing By 作者: Eduardo Bayro-Corrochano ISBN-10 书号: 3319748289 ISBN-13 书号: 9783319748283 Edition 版本: 1st ed. 2019 出版日期: 2018-08-13 pages 页数: 753 $219.99 The goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra. Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems. 1 Geometric Algebra for the Twenty-First Century Cybernetics Part I Fundamentals of Geometric Algebra 2Introduction to Geometric Algebra 3 Differentiation,Linear,and Multilinear Functions in Geometric Algebra 4 Geometric Calculus 5 Lie Algebras,Lie Groups,and Algebra of Incidence Part ll Euclidean,Pseudo-Euclidean Geometric Algebras, Incidence Algebra,Conformal and Projective Geometric Algebras 62D,3D,and 4D Geometric Algebras 7 Kinematics of the 2D and 3D Spaces 8 Conformal Geometric Algebra 9 The Geometric Algebras G6,0,2+,G6,3,G9,3+,G6,0,6+ 10 Programming Issues Part ll Image Processing and Computer Vision 11 Quaternion-Clifford Fourier and Wavelet Transforms 12 Geometric Algebra of Computer Vision Part IV Machine Learning 13 Geometric Neurocomputing Part V Applications of GA in lmage Processing,Graphics and Computer Vision 14 Applications of Lie Filters,Quaternion Fourier,and Wavelet Transforms 15 Invariants Theory in Computer Vision and Omnidirectional Vision 16 Geometric Algebra Tensor Voting,Hough Transform,Voting and Perception Using Conformal Geometric Algebra 17 Modeling and Registration of Medical Data Part VI Applications of GA in Machine Learning 18 Applications in Neurocomputing 19 Neurocomputing for 2D Contour and 3D Surface Reconstruction 20 Clifford Algebras and Related Algebras

国外电子工程经典教材，入门必备。首选教材。

Eclipse Rich Client Platform Designing Coding and Packaging Java Applications.pdf 富客户端开发文档