power_switching

6自由度puma机器人仿真程序源码。This is PUMA3d.M, a 3D Matlab Kinematic model of a Puma robot located in the robotics lab of Walla Walla University. The file uses CAD data converted to Matlab using cad2matdemo.m, which is located on the Mathworks central file exchange. ％ ％ This file is still being developed, for the latest version check the ％ Mathworks central file exchange.(6-DOF robot simulation program puma source. This is PUMA3d.M, a 3D Matlab Kinematic model of a Puma robot located in the robotics lab of Walla Walla University.The file uses CAD data converted to Matlab using cad2matdemo.m, which is located on the Mathworks central file exchange. This file is still being developed, for the latest version check the Mathworks central file exchange.)

MATLAB和VC++结合编程的教学资料(Combination of MATLAB and VC++ programming teaching materials)

i am in need 4g related matlab code.i learning in area of lte-advanced downlink for writing the matlab code

此程序为subranging结构A/D Converter的一个简单示例。(An example for subranging A/D Converter)

说明：  GA的源程序,运行过,绝对可以,对于学习GA的人可以参考试用(GA source, run-off, can definitely learning GA can refer to the trial)

有关案例推理的matlab源程序,比较简单,请大家多指教(the CBR source of Matlab, relatively simple, please enlighten more)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

Training based channel estimation

使用matlab软件搭建出来的光伏电池放电模型，波形很理想(Using matlab software to build out solar battery discharge model is ideal waveform)

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)