simu_3phpllforeveyone7

将MATLM3应用于有限差分法的正演计算中．充分发挥了其强大而方便的功能。 通过对二维稳定电流场模型的试算表明，ATLAB在解决实际的工程和数学问题中，与其它计算机程序设计语言 FORTRAN相比，具有使用更为简便、语句功能更强(Will MATLM3 finite difference method applied to the forward calculation. Give full play to its powerful and convenient features. Through the two-dimensional current field model calculations show that, ATLAB in solving practical engineering and mathematical problems, and other computer programming language FORTRAN, compared with the use of more convenient, more powerful statement)

基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配(Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between two images)

频率切片小波变换程序（FTWT），matlab的m文件。从一种新的角度出发，通过自由选择频率切片函数、引进新尺度参数，在频率域实现小波变换，该变换能够很好地刻画信号各成分之间的相对能量关系。此外，频率切片小波变换的时频窗中心频率就是观测频率，而无需进行尺度换算。(Frequency slice wavelet transform procedures (FTWT), matlab m file. Starting from a new angle, through freely chosen frequency slice function, the introduction of a new scale parameter, the wavelet transform in the frequency domain, the transformation can portray the relative energy relations between the components of the signal. In addition, the frequency slice wavelet transform frequency is the observation of the time-frequency window center frequency without scale translation.)

转载：卷积编码＋维特比译码的matlab程序(Reprinted: convolutional code+ matlab Viterbi decoding process)

《小波分析理论与Matlab7实现》书中例程()

网络法找切线。当一个曲线在某个点的切线很难找时可用此法。(Network to find the tangent. When a curve tangent at a point when this method is difficult to find.)

详细介绍了Matlab中矩阵、数组的生成及赋值方法等，适合初学者。(A detailed introduction about how to produce a matrix which is particularly suitable to novices.)

对信号进行小波包包变换并重构，并按自然顺序排列小波包变换后各层。(To signal wavelet package transform and reconstruction, and according to the natural order of each layer after wavelet packet transform.)

高功率放大器的MATLAB模型，代码为John Terry 文章的源码(model of high power amplifier in paper of John Terry)

Test whether the difference of two Sharpe ratios is statistically significant. No normality assumption needed, the bootstrap approach approximates the data-generating process.