OFDM_13

说明：  BD算法，对研究BD算法的研究者们有很好的作用(BD)

这是一篇ica盲源分离方法的技术文章 Overcomplete 的方法来解决(Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations)

这是脉冲多谱勒雷达信号处理流程中的动目标显示的实现程序，采用的是脉冲对消法。(This is a pulse Doppler radar signal processing flow of the moving target indication of the realization of procedures, using the pulse cancellation method.)

对交流/直流电机调速系统仿真的MATLAB源文件(AC/DC motor control system based on the MATLAB source file)

适合初学电力系统者，能够求出系统的雅克比矩阵，便于理解课本内容(Suitable for beginners power system, able to calculate the system Jacobian matrix, easy to understand textbook content)

UCP problem solving Using Dynamic Problem by Maninder Kaur and Vikram Kumar

说明：  Bayesian Actor-Critic matlab example

adaptive median filter for image

在雷达成像中所用到的多普勒质心估计，用idl语言编写(In radar imaging is used in the Doppler centroid is estimated using idl languages)

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)