Jacobi

《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。(《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is much better than traditional algorithm.)

说明：  本程序实现了线性正抛物Radon 变换，反抛物Radon 变换，并附带有详细的注释。(this program is compiled in matlab used for computed tomography.it realize the reconstruction from origin image.)

离散付里叶补零算法，以及2D汉明窗的离散付里叶算法(discrete Fourier-zero algorithm, and 2D Hamming window of discrete Fourier algorithm)

随机减量技术（Random Decrement Technique-RDT），其主要是利用样本平均的方法，去掉响应中的随机成分，而获得初始激励下的自由响应，(Random decrement technique (Random Decrement Technique-RDT), whose main method is to use the sample mean, remove the random component of the response, and the response to the initial excitation freedom of)

friction dynamics 摩擦动力学计算相关程序 初步(friction dynamics)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

huffencode编码，哈罚担罚的萨法多发(huffencode encode)

quadtree implementation in matlab

说明：  用matlab实现卡尔曼滤波对三状态的信号进行滤除噪声(Kalman filter with matlab the three states to filter out the noise signal)

corealation recovery matlab