medical-image-comp

是一个关于LS算法和MSE算法的性能比较程序(About LS algorithm is an algorithm and the MSE performance comparison program)

这个程序简单的介绍了OFDM的变体f-ofdm的误码率(This program simply introduces the bit error rate of the variant f-ofdm of OFDM.)

使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多(Efficient K-Means using JIT (Matlab code) This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read. )

Getting started with MATLAB

turbo码的matlab仿真程序，仅供参考，希望对您有用(turbo codes matlab simulation program for information purposes only, hope useful to you)

仿真BPSK（Binary Phase Shift Keying）载波调制信号在AWGN（加性高斯白噪声AWGN(Additive White Gaussian Noise)）信道下的误码率和误比特率性能，并与理论值相比较。(Simulation of BPSK (Binary Phase Shift Keying) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)

快速解耦法5节点网络的潮流计算程序,结果运行正确无误(Fast decoupled method 5 node network power flow calculation program)

Matlab曲线拟合程序，详细描述了CFtool工具使用方法及各种曲线拟合常用程序代码(Matlab curve fitting program)

The following Matlab project contains the source code and Matlab examples used for inverse kinematics for a 3dof robot arm. authors michael miranda and renato salinas. Uses optimization to find the spatial location of each axis articulator.

In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. (In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. )