Project1

Reliable and extremely fast kernel density estimator for one-dimensional data

此代码用于matlab仿真中计算求解并联机器人工作空间(Compute the robot workspace)

可以广泛的应用于数据预测及数据分析,表示出两帧图像间各个像素点的相对情况，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。( Can be widely used in data analysis and forecast data, Between two images showing the relative circumstances of each pixel, PV modules contain, MPPT module, BOOST module, inverter module.)

说明：  利用matalb初学深度学习的代码，这是这个系列的第第2章的源码(Using MATALB to learn the code for in-depth learning, this is the source code for Chapter 2 of this series.)

本仿真是基于超宽带仿真，包括完整的系统分析和仿真程序。(The simulation is based on ultra-wideband simulation, including complete system analysis and simulation procedures.)

非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment: min Σ (F (x, xdatai)-ydatai) ^ 2)

It is about matlab which depicts brain image segmentation

his page contains software and instructions for Canoical Time Warping (CTW),All the functions have been written and documented in Matlab format.

This is IEEE implementation here

qdpsk调制，含子程序，qdpsk调制(qdpsk prepared, containing subroutine)