GPSPP

拟态物理优化算法在无线传感器网络中的应用，采用C++/matlab混合编程。(Proposed artificial physical optimization algorithms in wireless sensor networks, using the C++/Matlab hybrid programming.)

有关SIMULINK的资料，详细写了使用MATLAB下的SIMULINK对信号处理进行仿真的各种方法，通过各种例子的介绍，方便读者理解和运用(The SIMULINK detailing the use of written under MATLAB SIMULINK simulation of a variety of signal processing methods, the introduction of a variety of examples to allow readers to understand and use)

三相直交直流变换器，PWM (ThreePhase_ACDCAC_PMWconverter )

采用小波去噪的方法对语音信号进行分解和重构，进而提取有效成分，实现信号的去噪(Wavelet denoising method of voice signal decomposition and reconstruction, and then extract the active ingredients, for signal denoising)

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

本程序是用于波束形成的MMSE算法。实现了对MMSE算法的matlab仿真。(This procedure is used MMSE beamforming algorithms. Realized on the MMSE algorithm matlab simulation.)

vc与matlab联调的例子，生成正弦波形(vc FBI and matlab examples, to generate sine wave-shaped)

通过游程编码的方式，进行图像信息隐藏，此方法适用于二值图像的隐藏(Length coding by the way the image information hiding, this method is suitable for binary image of the hidden)

模糊算法PID控制器参数再线自动整定MATLAB程序(Fuzzy PID controller then automatically tuning MATLAB)

说明：  ％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.( For the following 2-class problem determine the decision boundaries obtained by LMS and perceptron learning laws.)