sands

说明：  dv-hop算法仿真，该算法能够对一定区域内的未知节点进行定位(dv-hop algorithm simulation, the algorithm can be in the region to locate the unknown node)

to find the blood cell using image processing

TDMS的文件读取到Matlab。 优点： -支持读取v2的文件 -不需要使用NI的DLL，因此它不需要32位窗口 - 支持隔行扫描数据 -只允许读的名称及属性，以得到一个文件是什么感觉快 - 允许读数据的特定子集 (Reads TDMS files into Matlab. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - allows reading specific subsets of the data)

TD中扩频的链路级仿真 通过MATLAB实现(TD Spreading the Link Simulation through MATLAB)

Debye级数展开模型计算双层球形粒子散射角——散射光强曲线： 1. RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. DebyeIntensity.m Debye级数展开模型画包覆粒子散射角-光强图 (Debye series expansion model double spherical particle scattering angle- scattering intensity curve: 1. RB1.m calculated first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. DebyeIntensity.m Debye series expansion model painted coated particle scattering angle- light intensity diagram)

平方根法和改进的平方根法matlab程序(The square root of the square root method and improved method matlab program)

Poer spectral density of BPSK, QPSK and 16-QAM

针对多关节机械臂系统的自适应迭代学习控制Matlab例程(MATLAB routine of adaptive iterative learning control for multi-joint manipulator system)

说明：  浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss, although it was known to Chinese mathematicians as early as 179 AD (see History section).