FNNcontrol335

“通信原理”课程的课程设计，利用matlab自带的工具箱实现了8信道波分复用的功能。(" Communication Principles" curriculum design curriculum, using matlab toolbox comes with 8-channel WDM realized function.)

Visualization of BER for STTC system

说明：  波叠加的matlab源程序，来源于因特网。 谢谢大家！(wave superposition of Matlab source, and from the Internet. Thank you!)

说明：  canny算子在MATLAB下实现边缘检测(canny edge detection)

This knapsack problem solved by using Matlab Platform

CDMA different techniques are used to use it modulate and demodulate

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.(This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

数值模拟三能级原子系统的稳态EIT现象，能修改各项参数对吸收项，相干项，粒子数布局的影响(Numerical simulation of steady-state EIT phenomena in a three-level system)

此函数用于IS-95前向链路系统的仿真，包括扩频调制，匹配滤波，RAKE接收等相关通信模。 仿真环境为加性高斯白噪声信道，数据速率为9600 KBps 。 (This function is used for IS-95 forward link system simulation, including the spread spectrum modulation, matched filter, RAKE receiver and other related communications module. Simulation environment for the additive white Gaussian noise channel, data rate is 9600 KBps.)