Matlab-codes-for-FDTD

SECANT法求解一个连续方程，f(x) = 0，给两个初始值( SECANT ALGORITHM 2.4 To find a solution to the equation f(x) = 0 given initial approximations p0 and p1: INPUT: initial approximation p0, p1 tolerance TOL maximum number of iterations N0. OUTPUT: approximate solution p or a message that the algorithm fails.)

基于小波变换的图像分割方法,matlab 代码, 值得推荐(based on wavelet transform image segmentation, Matlab code, should be commended)

MATLAB Codes for Finite Element Analysis Solids andS tructures

matlab源程序,边界跟踪 （bwtraceboundary函数）(Matlab source, boundary tracking (bwtraceboundary function) )

Replace the native Matlab Hamming window

this document speaks about optcal fiber transmission

matlab的课件三，以前上传了两个加这个就全了(matlab)

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)

使用MAtlab语言，在一幅图像中添加各种噪声，比如：椒盐噪声，高斯噪声，均匀，指数，对数，厄尔等噪声。(Using Matlab language, to add a variety of noise in an image, such as: salt and pepper noise, Gaussian noise, uniform, exponential, logarithmic, El noise.)

induction machine detection fault by wavelet