gray-model

说明：  数字正交解调，解决了相位不一致性能,完成正交解调功能(LFM)

说明：  快速单词拼写检错器，能实现一般的文本操作，另外还能检查单词拼写的对错，字典可以自定义。(rapid spelling error device, able to operate normally text, and checking the wrong spelling, dictionary can define.)

说明：  matlab绘制三维地形图，包含数据和程序，是2011建模题(sfhjrt rtrthrth)

过这个程序，可以更加深入的了解FIR滤波是如何实现的。用AVR单片机 ATMEGA16L实现32阶FIR低通滤波器设计，低通截止频率为200HZ。原始信号经过AD采集后进行FIR运算，处理好的数据通过串口输出。(About this program, a more in-depth understanding of the FIR filter is how to achieve. The 32-order FIR low-pass filter design, low-pass cut-off frequency AVR microcontroller ATMEGA16L 200HZ. The original signal after AD collection, the FIR computation, the output of the processed data through the serial port.)

分四种情况实现fft 分别是时间抽取递归 、时间抽取循环、频率抽取递归和频率抽取循环 以及附带dft的算法描述(Fft realize sub-four cases were collected recursive time, time taken from the cycle, frequency and frequency of samples taken from recursive cycle, as well as incidental DFT algorithm described)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)

matlab版卡农 使用matlab弹奏卡农(matlab version of the Canon use Matlab to play Canon)

斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。(The notes of Machine learning courses in Stanford University。)

该实例是基于MATLAB的人脸识别例子，代码有说明注释。其中使用的人脸库为15个人每人11张图片。(This example is a face recognition based on MATLAB examples, the code has explanatory notes. Which uses face database of 15 individuals each 11 pictures.)

在 matlab 环境下的用于非线性动力学 混沌 分叉 的源程序，可以照葫芦画瓢(Nonlinear dynamics of chaotic bifurcation procedure)