robots-Matlab

本人用matlab做的viterbi译码及编码程序，很详细，可供初学者使用(I use matlab to do viterbi decoding and encoding procedures is very detailed, for beginners)

vc++和matlab的图像处理应用程序，可以相互调用，属于混合编程的各个实例程序。(VC++ and MATLAB image processing applications, can call each other, belonging to the mixed programming various examples of procedures.)

matlab编写的图片缩放算法，拉格朗日插值(matlab image scaling the Lagrange interpolation)

基于最小均方算法的自适应数字波束形成器matlab程序(Algorithm based on minimum mean square adaptive digital beamforming matlab program)

基于MATLAB的平面路由协议Flooding仿真源码(flooding protocol simulation)

含有滤波器的源程序，并且能够顺利的运行，希望能给你一些参考！(this file has the m file of adaptive filter and it can run smoothly,can give you some reference)

基于hmm的人脸识别的matlab程序，可以成功运行，对了解该算法有很大的帮助(HMM based on the face recognition of matlab program, can be successful operation, to understand the algorithm has very great help )

A signal is transmitted using a carrier frequency of 900 MHz. It is transmitted through a multipath channel which can be modelled as Rayleigh fading. Assumingthe Dopper spread as 10Hz and the number of multipaths as 10, generate the Rayleigh faded signal. Compute the outage rate (the probability of the signal falls below certain rate, say ?10 dB) of the signal. Using MATLAB, demonstrate the path loss as a function of loss parameter for distances ranging from 2 km to 40 km. Calculate the power loss in dB

此文档是MATLAB的常用函数和常用指令的集合，希望能给大家方便(This document is commonly used MATLAB functions and common set of instructions, hope that they can easily)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.