adaptivefilter

数学建模-第一节无约束最小化Mathematical Modeling - Section unconstrained minimization(Mathematical Modeling- Section unconstrained minimization Mathematical Modeling- Section unconstrained minimization)

说明：  本程序主要是实现最优多用户检测，从而能够实现最优的误码率性能和最好的抗远近效应能力。(Multi-user Dectection )

imread文件代码，m格式，需要的看看(imread code，m format，download and check it if need it)

Arduino hx711库文件，在编写程序省去很大力气，很好用的头文件，大力推荐(Arduino hx711 library files, eliminating the need to write programs in a lot of effort, a good use of header files, strongly recommended)

运用Newton-Raphson方法求解非线性方程（组）,该程序同时支持句柄和符号运算( Application of Newton-Raphson method for solving nonlinear equation (s), the program supports both handle and symbol operation )

GLCM feature for image segmentation

这里有几篇有关doppler frequency offset估计问题的相关文献，主要采用的是信道响应法，自相关法，循环前缀法来估计多普勒频移的。( Here are a few questions about the doppler frequency offset estimate of the relevant literature, is mainly used in the channel response, self-correlation method, cyclic prefix to estimate the Doppler frequency shift.)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

64QAM调制解调的MATLAB仿真程序(64QAM modulation and demodulation of the MATLAB simulation program)

Kalman滤波程序及其相关资料，对于理解Kalman滤波十分有用，而且Kalman滤波的界面是基于MATLAB设计的。(Kalman filtering procedures and related information useful for understanding the Kalman filter and Kalman filtering is based on the MATLAB interface design.)