1999年的第二版 清晰版pdf 英文版 奥本海姆的书 Discrete-Time Signal Processing

离散数学结构翻译版，使用体验极佳，一般图论、群论都需要用到这本书，《离散数学及其应用》是不够的

主要介绍如何使用automata以及Petri Nets对离散事件（动态）系统进行建模及描述。 吴老师上学期连讲了好多节课，并且发了一篇book review在IEEE Control System Magazine上： 　　 　　A. Paoli and N.E. Wu, Book review: An Introduction to Discrete Event Systems, 2nd Edition, by C.G. Cassandras, and S. Lafortune, IEEE Control Systems Magazine, June, 2009. 　　 　　Eva Wu的个人主页： 　　http://www.ws.binghamton.edu/wuweb

2.9 段寄存器 我们前面讲到. 8086CPU 在访问内存时要由相关部件提供内存单元的段地址和偏移地 址，送入地址加法器合成物理地址。 这里，我们要看一下，是什么部件提供段地址。 段地 址在 8086CPU 的段寄存器中存放。 8086CPU 有 4 个段寄存器: CS , DS , SS 、 ES。当 8086CPU 要访问内存时由这 4 个段寄存器提供内存单元的段地址。 我们本课中只介绍 CS o 2.10 CS 和 IP CS 和 IP 是 8086CPU 中两个最关键的寄存器，它们指示了 CPU 当前要读取指令的地

计算相似度的matlab代码A-trace-map-comparison-algorithm-for-the-discrete-fracture-network-models-of-rock-masses 一种岩体离散裂缝网络模型的迹图比对算法论文题目：一种岩体离散裂缝网络模型的迹图比对算法通讯作者：李明超，合着：韩帅，李明超，王刚 使用指南 步骤如下： a． 将测试图像复制到源代码文件夹。 湾用 Matlab 打开文件“mainProcess”。 C。 单击运行。 将计算 realTraceMap 和simulatedTraceMap1 之间的相似度。 d. 将第 7 行替换为“I{2} = imread('simulatedTraceMap2.bmp');”。 e. 单击运行。 将计算 realTraceMap 和simulatedTraceMaps 之间的相似度。 此外，图像已经过预处理。 该算法将确定simulatedTraceMap1 还是simulatedTraceMap2 更类似于realTraceMap。

Inverse problems arise when we reconstruct a sharper image from a blurred one or reconstruct the underground mass density from measurements of the gravity above the ground. When we solve an inverse problem, we compute the source that gives rise to some observed data using a mathematical model for the relation between the source and the data. This book gives an introduction to the practical treatment of inverse problems by means of numerical methods, with a focus on basic mathematical and computational aspects. To solve inverse problems, we demonstrate that insight about them goes hand in hand with algorithms. Discrete Inverse Problems: Insight and Algorithms includes a number of tutorial exercises that give the reader hands-on experience with the methods, difficulties, and challenges associated with the treatment of inverse problems. It also includes examples and figures that illustrate the theory and algorithms. Audience This book is written for graduate students, researchers, and professionals in engineering and other areas that depend on solving inverse problems with noisy data. The aim is to provide readers with enough background that they can solve simple inverse problems and read more advanced literature on the subject. Contents Preface; List of Symbols; Chapter 1: Introduction and Motivation; Chapter 2: Meet the Fredholm Integral Equation of the First Kind; Chapter 3: Getting to Business: Discretizations of Linear Inverse Problems; Chapter 4: Computational Aspects: Regularization Methods; Chapter 5: Getting Serious: Choosing the Regularization Parameter; Chapter 6: Toward Real-World Problems: Iterative Regularization; Chapter 7: Regularization Methods at Work: Solving Real Problems; Chapter 8: Beyond the 2-Norm: The Use of Discrete Smoothing Norms; Appendix A: Linear Algebra Stuff; Appendix B: Symmetric Toeplitz-Plus-Hankel Matrices and the DCT; Appendix C: Early Work on 揟ikhonov Regularization? Bibliography; Index. About the Author Per Christian Hansen is Professor of Scientific Computing at the Technical University of Denmark. His publications include two other books on inverse problems, several MATLAB?packages, and many papers on inverse problems, matrix computations, and signal processing. His home page is http://www2.imm.dtu.dk/~pch/. To request an examination copy or desk copy of this book, please use our online request form at www.siam.org/catalog/adopt.php.

初學者嘗試討論當離散時間訊號主要是由週期取樣連續時間訊號而來時，連續時間訊號與離散時間訊號會有什麼樣的關係性。

数字信号处理英文版课件：Chap 2 Discrete-Time Signals in T-Domain.ppt

数字信号处理英文版课件：Chap 3 Discrete-Time Signals in the Frequency domain

数字信号处理英文版课件：Chap 4 Discrete-Time Systems.ppt