kalman-filter-cs

数字水印图片信息隐藏在载体图片的最低有效位lsb，直接替换，该方法简单易操作，鲁棒性很差，经不起加噪，滤波，剪贴等攻击(digital watermarking Photo vector information hidden in the lowest effective photo-lsb direct replacement, The method is simple and easy to operate, robust poor and the inability to increase noise, filtering, clippings and other offensive)

说明：  LSTM简单例程及源程序，LSTM例程，源程序(LSTM routines, source code)

说明：  am调制解调，使用matlab 制作的。如果还需要fm与pm调制与解调的`~请于我联系(am modulation and demodulation, the use of matlab produced. If necessary with the fm modulation and demodulation pm `~ Please contact me)

硬件在环仿真电机矢量闭环控制Simulink模型，基于park、clack变换(Hardware in loop electrical motor close loop control)

模式识别中，用线性预测分类器实现逻辑与和逻辑或，MATLAB实现(pattern recognition, classification using linear prediction logic device to achieve and logic, or, MATLAB)

jpeg compression and expansion :P

说明：  利用MATLAB初步实现车牌的截取以及字符识别.实验报告中包含有思路的详解与分析以及源代码.(Using MATLAB to recognize the car license. The report contains the process of thinking and analysis, as well as source code.)

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

对之前求取细通道内气泡长度和频率的程序进行修改，使之运算速度加快，(Before passage of fine bubbles strike length and frequency of the procedure to be modified, so that the operation speed,)

Power Systems Oscillations C5 examples