整理好的基于matlab的滤波反投影重建算法源程序

雅可比迭代法解方程 高斯法解方程 查值法曲线拟和 2-9次方曲线拟和(Jacobi Iteration Method Solution of Equation of Gauss equation curve fitting method investigations and 2-9 power curve fitting and)

wavelet based compression

ofdm papr降低pts技术（三种分割法源代码）(ofdm papr)

非线性方程组求解，MATLAB节目设计，程序完整

说明：  图挖掘，图聚类 m文件主要包含4个功能：图的生成，图相似度分析，节点符号化，边权挖掘 ，详细说明见注释(graph mining, graph clustering)

说明：  用MatlAB实现GSM系统中的GMSK的调制解调(Achieved with the GSM system MatlAB GMSK modulation and demodulation)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

对球谐函数图形进行仿真,包括四元数的各种计算,利用matlab写成的窄带噪声发生，仿真图是速度、距离、幅度三维图像，加入重复控制，Pisarenko谐波分解算法。

包括主成分分析、因子分析、贝叶斯分析，人脸识别中的光照处理方法，实现了对10个数字音的识别程序对球谐函数图形进行仿真,DSmT证据推理的组合公式计算函数，实现了图像的灰度化并进一步用于视频监视控。

matlab 编写的最炫民族风歌曲，希望有人喜欢(zuixuanminzufeng edited by matlab and hope somebody will like it)