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Bode plot using MATLAB.. it was in our 6th sem laboratory for the purpose of examination part we studied

计算地震波的震中距和走时的的子程序，非常好用的子程序(Subroutine to calculate seismic epicentral distance and travel time, and very easy to use subroutines)

把已知的时域信号进行傅里叶变换在频域上显示。(If you are running a lot of time based simulations, often you will want to see the frequency response. Here is a function that may help.)

可实现光流、惯性、地磁组合导航的扩展卡尔曼滤波算法(This program can realize the integration if optical flow/INS/magnetic.)

基于matlab的图着色程序，算法为贪心算法，将节点按照度从大到小排序，排序后先给度大的着色。(The graph coloring program based on MATLAB algorithm, greedy algorithm, the node according to the degree from large to small order, ranking after the first to a large degree of coloring.)

这是一个小波去噪的程序，除了实现了最经典的图像去噪算法外，还使用了最新的带有方向性的小波，去噪效果非常好(This is a wavelet denoising procedure, in addition to realize the most classical image denoising algorithms, but also uses the latest with a directional wavelet, denoising effect is very good)

电力系统暂态课程设计MATLAB编程，短路计算模型及程序源代码。(MATLAB Programming System Transient curriculum design power, short circuit calculation model and source code.)

小波分析理论及MATLAB7实现例程,第15章小波工具箱的其他功能(Wavelet analysis theory and realize MATLAB7 routines, Chapter 15 Other features of wavelet toolbox)

初始化第一帧的N个粒子，对于第一帧初始化N个粒子( initialization N particles in the first frame )

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)