fde12

相控阵天线阵列的密度加权matlab程序代码。 运行gui.m文件 lmax.m和lmin.mLinear_func.m最后几行被调用，放在和Linear_func.m路径相同的文件夹下即可 运行后command window里第一条分割线上面是第一幅图的几个值，第二条分割线上面是第二幅图的几个值。其中，peak_first是数值最大的峰值，peak_second是数值第二大的峰值(第一旁瓣)，theta_var是与 peak_first最近的左右两个谷值横坐标的距离。 因为是找半峰值点的，因为都是小数，在数组里没有正好等于主瓣幅值一半的点，只有接近一半的点，所以要设定一个范围比如大0.05或小0.05都认为是半峰值，但是有的数组里0.05的范围还是太小，所以可能报错。(Phased array antenna array the density weighted matlab program code. The last few lines of the run gui.m the file lmax.m lmin.mLinear_func.m call, same placed Linear_func.m path folder above the dividing line of the command window to run the first picture the several values ​ ​ above the dividing line several values ​ ​ of the second image. Wherein, peak_first numerical maximum peak the peak_second is the the numerical second largest peak (first sidelobe), the theta_var is the abscissa and peak_first recent about two valley distance. To find half the peak point are decimal, the array does not just equal to main lobe amplitude half points, only nearly half points, so you want to set a range, such as 0.05 or 0.05 are considered semi-peak some array, but the range of 0.05 or too small, it may be an error.)

人脸检测 matlab程序 程序简单精炼 适合初步入门人脸检测的初步学习(face detection program)

Emmanuel C. Ifeachor的《Digital Signal Processing》（数字信号处理）的配套MATLAB源代码。该书涵盖了音频、多媒体、和电信领域的信号处理应用。(C. Emmanuel Ifeachor "Digital Signal Pro cessing "(digital signal processing) supporting MATLAB code. The book covers the audio, multimedia, and telecommunications in the field of signal processing applications.)

机动目标跟踪 自适应判别目标运动状态 Matlab仿真程序(Maneuvering Target Tracking Adaptive identification of target motion state Matlab simulation program)

Maplestory Client version 140+

wimax physical layer simulation code

采用小波对信号分解和去噪。分解层数和使用的小波可以自己定义然后阈值去噪(Wavelet is used to decompose and denoise signals. The decomposition level and the use of wavelet can be defined by itself and then threshold denoising)

神经网络使用例子，主要用于图像数据处理以及数据挖掘(Neural Network examples)

Matlab实现模糊控制与传统PI控制比较后证明模糊控制修正优于PI控制( Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions)(Matlab fuzzy control with conventional PI control proved that the fuzzy control correction is superior to PI control (Input X: 3 membership functions, Y: 3 membership functions Output U: 5 membership functions))

Maximum likelihood estimator matlab