lungui

一个单位负反馈系统的根轨迹法超前校正。可直接在matlab中打开并运行。(A negative feedback system unit root locus method leading correction. Directly in matlab open and run.)

雷达系统分析与仿真 示例代码 对初学雷达原理者非常有帮助 (Radar system analysis and simulation of sample code is very helpful beginner radar principle)

说明：  数值分析的matlab解法，包含了一般通用的算法 (Numerical analysis matlab solution, including the general general algorithm)

使用自组织竞争神经网络将给定坐标的垃圾中转站按地理位置分类。(Use the self-organizing competitive neural network given the coordinates of garbage transfer stations classified by geographical location.)

利用匹配追踪对信号进行稀疏分解，得到其稀疏表示形式(The use of matching pursuit for sparse decomposition of the signals, by their sparse representation)

自由空间E和H场的相位差和振幅衰落，可以显示波形。场特性，方向图，增益等(Free-space E and H field phase and amplitude of the decline can display waveforms. Market identity, direction map, gain, etc.)

说明：  很实用的matlab程序，希望大家能够给予多多的关注和支持 ，谢谢(Very useful matlab )

GUI with Matlab。Written By: Yair Moshe。GUI with Matlab - Outline 1. Basic Graphics 2. Animation 3. Handle Graphics Objects 4. Creating GUI using GUIDE(GUI with Matlab。Written By: Yair Moshe。GUI with Matlab- Outline 1. Basic Graphics 2. Animation 3. Handle Graphics Objects 4. Creating GUI using GUIDE)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

实现daM法，基本实现了智能计算，但也有很多不完善的地方，请多多指教，我是初学者(The realization daM method)