jacobian

说明：  主要是matlab7.0在数字信号处理中的应用，仅供初学者看，本人是菜鸟级人物。(Mainly matlab7.0 in digital signal processing applications, only a beginner, I was the rookie-level characters.)

it deals with test attractor, which is related to fractal.

dc motor model in simulink

Nearesy Neighbor for TSP with Node Insertion MATLAB

宽带雷达的检测模型,包括扩展目标模型、线性调频信号和脉冲压缩(Wideband radar detection model,including the distance extended target, the Linear Frequency Modulation signal and pulse compression)

极大似然估计定位的编程实现，误差分析，节点数仿真等，比较全面，适合初学者(Maximum Likelihood Estimation targeted programming, error analysis, simulation, and other nodes, a more comprehensive, suitable for beginners)

这是我在做浅海水声信道建模时收集的一些资料和程序，有一定的参考价值，分享给大家(This is some of the information and procedures I was doing shallow water channel modeling the collection, there is a certain reference value for everyone to share)

本程序主要用于当存在信号不匹配时，产生阵列增益。(This routine is to produce the Array Gain, when there is signal mismatch.)

使用matlab来实现信号的小波去噪，并分析信号的频谱，excel数据可以使用随机数据。(Using matlab to realize the signal wavelet denoising, and analyzing the frequency spectrum of the signal, excel data can use random data.)

说明：  对数值进行分析，AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的"examplars"即聚类中心点是数据集合中实际存在的点，作为每类的代表(For numerical analysis, AP clustering algorithm is based on the "information transfer" between data points. Unlike k-means algorithm or k-center algorithm, AP algorithm does not need to determine the number of clusters before running the algorithm. The "examples" searched by AP algorithm is the actual points in the data set as the representative of each class)