svmmy

瑞利分布杂波幅度和高斯谱仿真，需要的可以学习看下(Rayleigh distribution clutter simulation, the need to learn a look)

Obtain the CDF plots of PAPR from an OFDM BPSK transmission specified per IEEE 802.11a specification Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely. Using a small script, the cumulative distribution of PAPR from each OFDM symbol, modulated by a random BPSK signal is obtained

基于三层结构的光纤Bragg光栅基本模（LP01）的截至频率测试程序，欢迎拍砖

说明：  matlab的图像命令，，有详尽的函数说明，，便于查询(matlab image order, a detailed function description, easy to check)

此程序是关于经济学中布莱克斯科尔斯模型 的matlab实现(This procedure creates a three-dimensional plot showing how gamma changes relative to price for a Black-Scholes option. Recall that gamma is the second derivative of the option price relative to the underlying security price. The plot shows a three-dimensional surface whose z-value is the gamma of an option as price (x-axis) and time (y-axis) vary. It adds yet a fourth dimension by showing option delta (the first derivative of option price to security price) as the color of the surface)

贝叶斯压缩感知，一种新的压缩感知，主要是解决信号的重构问题(Bayesian compressed sensing, a new compressed sensing, mainly to resolve the signal reconstruction problem)

共轭梯度法，优化算法的一种，具有二次收敛性，若目标函数为二次正定函数，经有限步可达到极小点(Conjugate gradient method, an algorithm with quadratic convergence, if the objective function is quadratic positive definite function can be achieved by the finite step minima)

说明：  支持向量机回归在股市预测中的应用,有论文和大量仿真曲线说明(the application of SVR in the Stock prediction)

该书是一本MATLAB程序设计的完整教材，特别是对于程序开发助教来说，可以说是一顿丰盛的午餐。(This book is a complete MATLAB programming teaching materials, especially for program development assistant, this can be said to be a sumptuous lunch.)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)