towpathmodel

variation变换法求分形维数，编译过，可以用，很好(variation)

采用模糊C均值对数据集data聚为cluster_n类(Fuzzy C-means data sets of data together for cluster_n category)

matlab生成m序列的函数 原来那个效率太低，主要是因为实际应用并不需要生成太长的m序列，加入了需求长度，能有效减少运行时间。25级的移位寄存器，运行了一个小时都没有出来一周期，我仅仅需要三千bit而已。改进版：(matlab generate a function of the original m sequence that efficiency is too low, mainly because of the practical application does not require generation of long m sequences, joined the demand for length, can effectively reduce the running time. 25 of the shift register, run for an hour did not come out one cycle, I just need more than 3000 bit. Improved version:)

计算心理声学的一些参数，比如响度，sharpness，粗糙度等等。(Psychoacoustic calculation of some parameters, such as loudness, sharpness, roughness and so on.)

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)

给学计算机接口与控制的同学发福利了，一些简单易实现的pid控制源码，直接在matlab上就可以跑起来(To learn computer interface and control the welfare of the students sent some simple and easy to achieve pid control source, directly in matlab can run up)

这是一个平面阵列2维方向图代码，可以通过修改参数得到竖直、水平平面阵的方向图(This is a two-dimensional planar array pattern code can be vertical, horizontal planar array pattern by modifying the parameters)

Solves 2D sine function using 5th order WENO and 3rd order Runge-Kutta

creativemall glibal green comcepitong(creativemall glibal green comcepitiong creativemall glibal green comcepitong creativemall glibal green comcepitong creativemall glibal green comcepitong)

最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例(the latest LS-SVM toolbox for matlab )