contact-lenses

尺度边缘检测，效果还不错的MATLAB代码。(Scale edge detection, the results were good.)

moduation and demodulation process using GUI

Monte-Carlo Integral

analogique simulation matlab de pll

说明：  powell优化搜索算法，适合于多参数优化且目标函数中不包含参数的情况(Powell optimization search algorithm, suited to multi-parameter optimization objective function which does not contain the parameters of)

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)

单相逆变器的双环系统matlab仿真（阻性,感性性,容性负载）(Single-phase inverter bicyclic system matlab simulation (resistive, inductive, capacitive load))

时频分析matlab工具箱,这是TFTB的指导使用书籍(Time-Frequency toolbox matlab)

adaptative colntrol with luenberger observer

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)