tongyong

这个是一个基于matlab实现傅里叶变换的一个小的程序，共大家学习使用。(This is a matlab-based Fourier transform to achieve a small program, we were learning to use.)

作为巴新宽行打印情节并不十分好看。 这是我使用的命令后，一些在现在讨论的答案。( printing plots with wide lines as png does not look pretty. These are the commands that I use now after some discussion at answers.)

Four versions of the simulation is available. tsim.cpp - Prints visual representation of the simulation tsimd.cpp - Prints Density versus output flow rate and average velocity tsiml.cpp - Prints Lane Change Probabiliy versus Output flow rate and Average velocity

线性鉴别分析方法，数据降维，图像处理，模式识别(LDA)

The goal of this lab is to exercise basic features of Servlet leveraging NetBeans IDE. You are going to build, run, and modify ServletExamples sample application using NetBeans. (The goal of this lab is to exercise basic features of Servlet leveraging NetBeans IDE. You are going to build, run, and modify ServletExamples sample application using NetBeans.)

雷达测伪距时域相关法matlab仿真源码(The radar altimetry Pseudorange domain correlation method matlab simulation source)

定义锁相环的工作模式：单载波为“1”、BPSK调制为“2”、QPSK调制为“3”(The definition of phase-locked loop mode of operation: single-carrier for the " 1" , BPSK modulation for the " 2" , QPSK modulation for the " 3" )

看了测试用例后，大家估计已经明白题目的意思了吧！题目很简单，但是就是很烦。 开始直接是没思路，不知道怎么模拟，但是想了带该半个小时，就搞定了。就是把每个数存到数组里面。 (A friend of you has just bought a new computer. Until now, the most powerful computer he ever used has been a pocket calculator. Now, looking at his new computer, he is a bit disappointed, because he liked the LC-display of his calculator so much. So you decide to write a program that displays numbers in an LC-display-like style on his computer. )

完成信号和调制与频谱分析.并进行相关的图形显示(completed with the modulation signal and spectrum analysis. And the graphics)

则卡尔曼滤波的算法流程为： 1.计算预估计协方差矩阵2.计算卡尔曼增益矩阵3.更新估计4.计算更新后估计协防差矩阵(The Kalman filter algorithm processes as follows: 1. Calculate pre-estimate covariance matrix 2 calculate the Kalman gain matrix 3 updated estimate calculated after 4 update estimated defend difference matrix)