FSK

使用MATLAB对RLS进行编程实现对目标的跟踪，仿真结果显示目标跟踪的精确度和实时性(On RLS using MATLAB programming to achieve the target tracking, target tracking simulation results show the accuracy and real-time)

说明：  HP中华地区总裁谈人生，这是我上传的这个资料的主题，我觉得会对有些朋友有用(President of HP China region to talk about life, which I uploaded the theme of this data, I think that would be useful to some friends)

快速的关闭MATLAB figure窗口，快速的关闭MATLAB figure窗口，(MATLAB figure window closing fast, fast closing MATLAB figure window,)

信号频谱绘制函数，绘制输入输出函数，并计算信号的sndr。(Signal spectrum drawing functions to draw input and output functions, and calculate sndr signal.)

Yen 算法求解最短路径 附加测试代码 例程(Yen shortest path algorithm)

the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about. the function implements the DCT transform, using a matrix operator. note that matlab has a function for the DCT and iDCT transforms that might be more efficient.(the attached utility is a work I ve submitted to the universityIt shows what a jpeg compression is all about.the function implements the DCT transform, using a matrix operator.note that matlab has a function for the DCT and iDCT transforms that might be more efficient .)

基于支持向量回归机，预测股价（10天），可以根据自己的需要对参数和预测天数进行灵活调整(Based on support vector regression to predict the stock price (10 days), according to their needs and prediction of parameters for flexible adjustment of the number of days)

贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，而且方法简单、分类准确率高、速度快。(Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use of probabilistic algorithms. In many cases, Naive Bayes (Naï ve Bayes, NB) classification algorithm with decision trees and neural network classification algorithm is comparable, the algorithm can be applied to large s, and the method is simple, accurate classification rate of speed.)

多径效应的仿真，瑞利平坦衰落信道的改进Jakes模型；得出信号功率随多普勒频移的变化(The simulation of the multipath effect)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)