lvjing

利用LSB算法嵌入隐藏图像，可在广义LSB中设置修改的位平面，返回误码率和峰值信噪比。含各种经典的攻击方式，可用于实验。并可控制攻击的强弱。利用Matlab编写。(LSB embedding algorithm using hidden images, can be generalized to set up modified LSB bit-plane and returned to the bit error rate and peak signal to noise ratio. Containing a variety of classic attack methods can be used for the experiment. Can control the strength of the attack. Prepared using Matlab.)

说明：  mimo信道及建模仿真，有matlab源码(mimo channel and modeling and simulation, source code with matlab)

bmp to Yuv, DCT transform and quantization 4x4 compression

人脸识别,给予matlab的人脸识别，比较好用，注意要对人脸库(matlab yuan dai ma,jiyu ren lian shi bie . geir ren renwei bi jiao hao,xi wang dui da jia you yongbfb fbfb fdvdfdf dvsaswdas .)

移相dcdc变换器，简单的移项全桥simulink控制(Phase shift DCDC converter, a simple phase-shift full bridge Simulink control)

matlab中的函数大全………………如何实用有例子(matlab function in the Guinness ... ... ... ... ... ... how to have practical examples of)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

類神經網路中的RBF matlab toolbox(Neural network RBF matlab toolbox)

this is related soft copy of books.in robust control

matlab code for beging cc motor...