zantaifenxi

分别采用维纳滤波和l-d算法设计一个6阶前向线性预测器，给出设计过程，matlab程序。 要求：1、得到预测器的权向量和预测误差功率 2、画出预测阶数和预测误差功率的曲线 3、在使用l-d算法时，假设 ， ，…… 未知 (Wiener filter and were used to design a 6-ld algorithm prior to the linear predictor order, given the design process, matlab program. Requirements: 1, are predictors of weight vectors and the prediction error power of 2, draw the prediction order and the prediction error power, Curve 3, in the use ld algorithms, assumptions, ... ... unknown)

说明：  关于MATALAB的书籍文章很经典值得一看解压后必须使用超星浏览器观看(MATALAB article on classic books worth a visit after decompression must use a browser Chaoxing Views)

This code would calculate the approximate root of any polynomial using Newton Raphson Method

Program for UWB SV Channel(CM2 environment)

BP神经网络用于函数拟合与模式识别，电力系统暂态稳定程序，可以进行暂态稳定计算,包括回归分析和概率统计。( BP neural network function fitting and pattern recognition, Power System Transient Stability Program, can be transient stability, Including regression analysis and probability and statistics.)

本文档是本人的自适应控制大作业，作业里分模型参考自适应控制（用smulink仿真）和CARMA模型的最小方差自适应控制，文中有详细的smulink框图和matlab程序，格式美观，分析透彻，图形整齐，对学习自适应控制的朋友有很大的帮助，谨以本人微薄的力量和成果与大家共鸣，(This document is my adaptive control large operations, operating in sub-model reference adaptive control (with smulink simulation) and the CARMA model of minimum variance adaptive control, the text has a detailed diagram smulink and matlab procedures, aesthetic format, analysis and thorough , graphics, neat, in learning adaptive control of a friend has a great help, I would like my meager results of the strength and resonance with the U.S.,)

matlab语言，空域综合增强图像，可以实现(Integrated airspace enhanced image)

Least Mean Square (LMS) equalizer used in coherent receivers

自适应建模与其模型的逆估计，MATLAB编写，加高斯白噪声(Adaptive Modeling and its inverse model estimates, MATLAB prepared, add white Gaussian noise)

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good)