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给出了一个在matlab gui设计中显示图像后无法响应鼠标事件的简单的解决办法 方便易用(Gives the design a matlab gui display images can not respond to mouse events after the simple solution easy to use)

这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案，实验和研究，以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式（在6.3 kb / s的运行）。解码器可以解码的5.3 kb / s的，在6.3 kb的多脉冲/秒，连续传输，数据包丢失隐藏）编码器（所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件（同位文件由ITU - T参考代码产生兼容）。第二个选项之间传递的编码器和解码器使用Matlab的数据信息文件。此选项允许测试通过传递量化或unquantized之间的编码器和解码器的信息。 有报道[1]描述了G.723.1编码与Matlab实现与分布包括在内。 ITU - T建议G.723.1的[2]在线提供。该建议含(This package implements the ITU-T G.723.1 speech coder and decoder in Matlab. The goal of the package is to provide a well-documented and modular program that was designed to facilitate experimentation and research using a practical coder as a base. The coder implements the multipulse mode of G.723.1 (running at 6.3 kb/s). The decoder can decode all modes of the coder (ACELP at 5.3 kb/s, multipulse at 6.3 kb/s, discontinuous-transmission, packet loss concealment). The standard interface between the coder and decoder is a bit file (compatible with the bit files generated by the ITU-T reference code). A second option passes information between the coder and decoder using a Matlab data file. This option allows for testing by passing quantized or unquantized information between the coder and the decoder. A report [1] describing the G.723.1 and the Matlab implementation is included with the distribution. ITU-T Recommendation G.723.1 [2] is available on-line. The recommendation incl)

运用PCA和LDA进行人脸识别的MATLAB代码 (do the face recognition use the principal component analysis and linear discriminant analysis)

说明：  利用CEEMD进行时间序列的分解，可获得各种时间尺度的信号(The decompisition of time series with CEEMD)

说明：  例子滤波源程序，利用粒子滤波模拟跟踪拟合曲线(partical filter)

成功实现3维FDTD的算法，算法简洁明了(Successful implementation of the three-dimensional FDTD algorithm is simple and clear)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Maximal Ration Combining (MRC)

粒子群优化算法在函数中求解极值问题，MATLAB程序(Particle Swarm Optimization for extreme value problem)

自己写的混沌优化算法，有注释，算法简单，适合学习(Chaos Optimization Algorithm for his writing, there are notes, simple algorithm for learning)

正交频分复用的调制的实现代码，调制只用一种方式(Orthogonal frequency division multiplexing modulation implementation of the code modulation only way to)