mfa

二维声波正演程序！规则网格的时间空间二阶波动方程有限差分正演，matlab编写！！(Two-dimensional wave medling program! matlab prepared! ! Forward seismic acoustic source)

这是一个好用的频偏估计算法的matlab仿真程序,正确率可以达到98％，包括面积、周长、矩形度、伸长度。( This is a useful frequency estimation algorithm matlab simulation program, Accuracy can reach 98 , Including the area, perimeter, rectangular, elongation.)

说明：  对仿真的非平稳信号进行Hilbert-Huang变换，分析信号的时频特征。(The simulation of non-stationary signals, Hilbert-Huang transform analysis of time-frequency characteristics.)

以SUVM迭代直接求解出观测值的改正数，给出一个简单算例，以资验证。 (The correction of the observation is obtained by the interation with gradient projection method and a simple calculation example is given to verify it)

直方图均衡化，适用于matlab对某一幅特定图像的增强处理(Histogram equalization, apply a matlab for a specific image enhancement processing)

SVM 程序 用于模式识别 小样本学习 (SVM pattern recognition procedures for the small sample study)

Matlab面向对象编程,强烈推荐的一本面向对象matlab编程书籍(Matlab programming)

已知三基准点和原点，通过未知点、基准点与原点距离，未知点与基准点距离，求未知点坐标(Known three reference points and the origin, through unknown point, the reference point and the origin of the distance from the unknown point and the reference point, find the coordinates of the unknown point)

i hav uploaed the signal creating code

This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model. A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation. alpha_n = frac{pi(n-0.5)}{2M} and eta_n = frac{pi n}{M}, results in the following model, usually termed the Dent model or the modified Jakes model: R(t,k) = sqrt{frac{2}{M}} sum_{n=1}^{M} A_k(n)left( cos{eta_n} + jsin{eta_n} ight)cos{left(2pi f_d t cos{alpha_n} + heta_{n} ight)}. The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases ,! heta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.