matlabGUI

雷达系统仿真，采用相位编码脉内线性调频混合调制信号。该雷达具有数字化正交解调、脉冲压缩处理、固定目标对消、动目标检测（MTD）、和恒虚警（CFAR）处理等功能(Radar simulation system，using the LFM and barker code mixed modulated signal。Main function include：digital orthogonal demodulationfixed, Pulse compression，target cancellation, moving object detection (MTD), and the constant false-alarm (CFAR) processing etc)

matlab 高级应用的一些例子，希望对大家有所帮助(matlab examples of advanced applications, we hope to help)

Sodoku Solver in matlab.

Encryption algorithms are becoming more necessary to ensure data is securely transmitted over insecure communication channels. FOX is a recently developed algorithm and its structure is based on the already proven IDEA (International Data Encryption Algorithm) cipher. FOX is a symmetric (private key) block cipher. Its top-level structure uses the Lai-Massey scheme and the round functions used in the scheme are substitution permutation networks (SPN). Its flexibility lies in the fact that it can be efficiently implemented in hardware and software. We report some of the first results of implementing the cipher on an FPGA

说明：  基于MATLAB编程的专家控制PID源程序(Expert PID control based on MATLAB source code)

北京到广州铁路路线仿真，可用于完好性分析用(Beijing to Guangzhou railway line simulation can be used to integrity analysis)

fdtd program 2D using PML (Perfect Match Layer)

小生境粒子群算法编程，及20篇相关论文，全都是关于小生境粒子群的研究与应用(Niche Particle swarm algorithm programming, and 20 article about NPSO s research and application)

Connection between the earth and the model whit Absolute Orientation in photogrammetry

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)