lmsadaptivefilteringdemo

用matlab实现的灰度图像DCT变换的源程序。(Matlab implementation of the gray image with DCT transform of the source.)

瑞士苏黎世理工四螺旋桨直升飞机的仿真程序，已经作为课程讲解，值得借鉴和学习!(Polytechnic in Zurich, Switzerland four propeller helicopter simulation program has been explained as a curriculum, it is worth drawing on and learning!)

This is a code of the precise integration method.

Finger print Wit Neural Network

此书包含图像处理的各种函数命令和解析，读者一看就能明白！！！(This book contains various functions of image processing commands and parsing, the reader can understand a look! ! !)

惯性导航捷联算法的matlab实现，内附举例坐标点。(Strapdown inertial navigation algorithm matlab implementation, enclosing the coordinates of points, for example.)

MUSIC算法的MATLAB程序 信号和阵源参数 阵列输出相关矩阵(MUSIC algorithm MATLAB program array source signal and the output parameter array correlation matrix)

MATLAB语言编写的实现边角导线网平差实例(Written in MATLAB to achieve the corners instance Traverse Adjustment)

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)

matlab code for convolutional codes