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本例中通过使用MATLAB把声音信号进行分析，把有声音的部分进行过滤，分别过滤后 再把3个信号连在一起，使3个单独的声音信号转换为一个单独的连续声音信号。(In this case through the use of MATLAB to analyze acoustic signals, the voice has some filtering, respectively, after filtering the three signals together, so that three separate voice signal is converted to a single continuous sound signal.)

对于给定信噪比的通信系统，估计差错概率,数据调制采用GMSK(Estimate error probability for a given SNR communications system,the data modulation method is GMSK )

基于全局误差的BP神经网络辨识的MATLAB仿真程序，代码有注释(Based on global error of BP neural network identification MATLAB simulation program, code annotated)

Analysis and evaluation of mechanical workshop using fuzzy logic with matlab.

说明：  天牛须算法优化elman神经网络代码，有需要的可自行进行下载，(The algorithm optimizes Elman neural network code, which can be downloaded if necessary.)

MATLAB GUI（Graphical User Interfaces- 图形用户界面）设计与制作(Designing of MATLAB GUI（Graphical User Interfaces）)

基于matlab编写了自然二进制码、折叠二进制码、反射二进制码之间的转换，并使用MatlabGUI设计了人机交互界面。(Prepared based on matlab natural binary code, binary code folding, reflecting the conversion between binary code and use interactive interface designed MatlabGUI.)

this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated

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.)

说明：  MATLAB 直流电机双闭环控制仿真 经典教程实例03(matlab zhiliudianjishuangbihuankongzhifangzhen jingdianjiaochengshili03)