lf_control

说明：  ofdm的matlab编程,绝对是好东西,简单明了,对于ofdm学习很有帮助(The OFDM matlab programming is definitely good things, simple and clear, very helpful for OFDM)

用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

基于GMM说话人识别特征提取 1、需要有语音工具箱 2、训练和测试包含了加噪的代码 3、包含噪声数据 4、没有包含语音数据 5、语音数据可以自行录制或者找一段语音(Extraction Based on GMM speaker recognition feature A need to have a voice toolbox 2, the training and testing included adding noise code 3, including noise data 4, does not contain voice data 5, the voice data can be recorded on their own or find a voice)

飞机模型 用于控制飞机的输出 使飞机按照预定轨迹运行(The aircraft model is used to control the output of the aircraft the aircraft according to a predetermined trajectory)

Tank Level Control using PID

带阻滤波程序，直接运行即可，保证可用。注意:目录的设置一定要正确(Band-stop filter program can be run directly, to ensure that available. Note: The directory must be correctly set)

bp网络实现过程的源代码，用c、c++和matlab编写(bp network process source code, using the c c++ and matlab prepared)

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn

说明：  CNN,DBN算法可以对手写体数字进行识别，准确率高(CNN and DBN algorithm can recognize handwritten numerals with high accuracy)

8PSK+weaver调制matlab程序(8PSK+ weaver modulation matlab program)