Kalman_Matlab

Fixed point xilinx system generator black box

qpsk系统仿真过程，包括输入和输出,值得参考(qpsk system using input and output)

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

IEEE802 11b 的物理层仿真程序，绝对可用。希望对你学习IEEE802有所帮助。(IEEE802 11b of the physical layer simulation program is absolutely available. Hope to learn from you IEEE802 help.)

rake接收机仿真，参考程序walsh码扩频，三径瑞利信道，三种合并方式(rake receiver simulation, the reference program walsh code spreading, three-path Rayleigh channel, three kinds of merger)

comunication system between two pc

超经典的ffmepg学习教程及示例代码！~~~(Ultra Classic ffmepg tutorials and sample code)

matlab code for digital signal processing

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)

本程序为求矩阵的最大特征值、全部特征值和特征向量，应用乘幂法和雅可比过关法(This procedure for the sake of the largest eigenvalue matrix, all eigenvalues and eigenvectors, applications by a power law and the Jacobi clearance method)