yangtiao

the problem Matlab.pdf 这是个对于初学者很有用的 希望大家都能学好matlab(the problem Matlab.pdf This is very useful for beginners I hope people will learn matlab)

说明：  灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。 此程序用来作灰色预测。 (Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)

说明：  该例子为大家提供了一个很好的，对于小波在信号检测过程中使用的理解(the examples we provide for a good, wavelet signal detection in the process of understanding)

直流变换器的串联控制，实现模块的输入输出均压(The serial control of the DC converter, the input and output voltage of the module is pressed.)

信息类专业信号与系统课程实验报告,包含卷积,滤波器分析等.(Information Specialty Signals and Systems course experiment report, including convolution, filter analysis.)

现代通信系统（第二版）（MATLAB版）实例代码(communication with matlab)

In this simulink model , baseband binary detection is simulated .A rectangular pulse shaped signal is given as input to the detector.The received signal is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The binary signal transmitted is recovered at the detector output.

far field modelling of active optical fibre 9 core

图像分割的方法有许多种，其中阈值分割的方法很常用，提供一种基于otsu算法的图像分割方法，很实用。(There are many kinds of method of image segmentation, threshold segmentation method is commonly used, provide a method of image segmentation based on otsu algorithm is very practical)

利用扩展卡尔曼进行状态估计 状态向量四维 测量向量二维 误差为高斯白噪声(The use of extended Kalman state vector for state estimation of two-dimensional four-dimensional vector measurement error is Gaussian white noise)