CP0201_TRANSMITTER_2PPM_TH

The floatAxisX m-file enables you to plot parameters with different units (eg. temperature, salinity and density versus depth) on the same axes having the x-axis for the parameters "floating" below. FloatAxisY plots floating axes on the left-hand side of the plot. The number of parameters plotted is not limited. Type ctdplotx or ctdploty at the Matlab command prompt for a demo.

利用粒子群算法计算多目标线性优化问题的解(Using multi-objective particle swarm algorithm for solving linear optimization problems)

all modulation of Communication for MatLab

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

电子科技大学《信号检测与估计课件，研究加性噪声中的检测与估计(Signal detection and estimate )

Matlab with acoutics

older cih example - back to ninety s

4阶经典Runge-Kutta格式解常微分方程,Romberg(龙贝格）法求函数的积分,三阶样条插值（一阶导数边界条件）,定步长梯形法求函数的积分,矩阵A的伴随矩阵, Lagrange插值法数值求解,Newton迭代法解非线性方程f(x)=0(Fourth-order Runge-Kutta classic format solution of ordinary differential equations, Romberg (Romberg) method for function points, third-order spline interpolation (first derivative boundary conditions), fixed-step trapezoidal method for integrating functions, matrix A adjoint matrix, Lagrange interpolation method for numerical solution, Newton iterative method for solving nonlinear equations f (x) = 0)

matlab与vc混和编成(Matlab and the mixture into vc)

说明：  一种用于实现变压器等故障分类的matlab代码(A matlab code for transformer fault classification)