complex-net

語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。(Voice signal is based on the timeline of one-dimensional digital signal, where mainly the speech signal in frequency domain analysis. In signal analysis, frequency domain often contains more information. For the frequency domain for about 8 allows us to analyze waveforms: rectangular square wave, sawtooth, trapezoidal wave, the critical damping index pulse, triangle wave, I spin wave, I spin square wave, Gaussian. For all waveforms, we can analyze in a way that is Fourier transform: the transformation of time domain waveform into the frequency domain to analyze)

LBP（局部二值模式）的matlab程序，有主文件lbp.m，对低版本的还有调用getmapping.m的文件，还有就是测试文件，是自己写的用循环语句批量处理图片用的(LBP (Local Binary Pattern) matlab program, there is the master file lbp.m, there are calls for a low getmapping.m version of the file, there is a test file, write your own pictures with batch processing loop used)

说明：  matlab实现经典功率谱估计,xiwangdajia xuexi(matlab gonglvpugyujichengxu)

matlab空间面板模型的最后结果包括各变量的系数，拟和度(MATLAB SPTATIAL PANAL MODEL)

此程序主要用于处理轴承和齿轮故障，先进行傅里叶变换，然后在信号频域内做频谱自相关，通过频谱自相关，可以识别频谱中的周期性调制信息(This procedure is mainly used for processing the bearing and gear failure, Fourier transform first, and then the signal in the frequency domain spectrum autocorrelation, through spectrum autocorrelation, can identify the periodic modulation in the spectrum of information)

说明：  该程序通过模仿生物的遗传特点，解决全局最优解的问题(The program solves the problem of global optimal solution by imitating the genetic characteristics of organisms)

bpsk 调制和解调 BPSK调制解调直接序列扩频系统源代码(白噪声及瑞利衰落误码率比较)(communication simulation programming source)

matlab 数字图像处理基础实验教程，能够帮助你快速入门matlab在数字图像处理中的应用。(basic experiment digital image processing matlab tutorial to help you quick start matlab in Digital Image Processing.)

自由电子在沿x轴的震荡电路中的运动问题，希望对大家有用(The free electrons in the movement along the x axis of the oscillation circuit in)

关于matlab的多分类问题的几篇文章，对于学习matlab 中的svm 多分类问题有帮助(Multi-classification on matlab several articles for learning in matlab svm multi-classification helpful)