matlabsimulink

脉冲编码调制（PCM）用于在数字传输媒体上传送模拟信号，在PCM中，首先对模拟信号以高于其带宽两倍的奈奎斯特率进行采样，然后对所得样本进行量化。采用不同量化级别生成的PCM编码会影响接收器重建模拟信号的质量。 (Pulse code modulation (PCM) for the media in the digital transmission of analog signal transmission in the PCM, the first analog signal to more than the Nyquist rate of twice the bandwidth sample, and then to quantify the samples. Using different quantization level generated PCM coding receiver will affect the quality of the reconstruction of analog signals.)

测量氨水的气体浓度（由平均阻值和平均电压来表示），它受到环境湿度和加热电压的影响。(Measurement of ammonia gas concentration (from an average resistance and average voltage to that), it is affected by environmental humidity and the heating voltage.)

关于弹道目标实时跟踪，有详细的模型和算法策略.(Real-time tracking of ballistic target, have a detailed strategy model and algorithm.)

运用matlab模拟各种随机变量，内容包括模拟的基本思路和matlab代码(Use matlab simulate various random variables, including the basic ideas and matlab simulation code)

外文资料里面的源代码，三相光伏逆变并网的仿真，基于SVPWM的三电平逆变的matlab仿真。( Foreign materials inside the source code, Three-phase photovoltaic inverter and network simulation, Based on SVPWM three-level inverter matlab simulation.)

几篇关于SAR图像边缘检测的论文，包含各种边缘检测算法的比较，可以统一下载来对比使用，看各种方法优缺点。(SAR image edge detection on several papers, including the comparison of various edge detection algorithms can be downloaded to compare the use of uniform, to see advantages and disadvantages of various methods.)

matlab code to change IR and grahy scale to RGB images

How to build affective mathematical models to understand the behaviors of serial crimes is an interesting research field in public security.

常模量算法在通信过程中使用信道均衡时的效果(Application of constant modulus algorithm in channel equalization)

说明：  MATLAB课堂考勤（GUI） 该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)