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M2ANGLES
说明： Retrieves 3D angles theta_x, theta_y, theta_z, from 3D rotation matrix RxRyRz.
- 2010-10-06 16:56:22下载
- 积分：1
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course-of-MATLAB2010a-Zhangzhiyong
MATLAB2010a教程，适合于MATLAB的初学者学习！(MATLAB2010a tutorial)
- 2012-11-27 18:27:26下载
- 积分：1
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BPSK
两发射天线四元素正交空时分组码编码研究，BPSK的matlab仿真程序，有对比图(Two transmit antennas four elements orthogonal space-time block coding research, BPSK matlab simulation program, there are comparison chart)
- 2014-01-09 11:58:17下载
- 积分：1
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draw
根据自己的需求随意作出二维曲线图，只需要用鼠标在坐标系中点击即可。(Free to make a two-dimensional graph according to their own needs, just use the mouse to click in the coordinate system can be.)
- 2014-02-10 13:21:23下载
- 积分：1
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kmeans
This code is calculating K-means in matlab programming.
- 2013-09-23 21:34:21下载
- 积分：1
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levanon
PAF, PACF by levanon
- 2013-09-28 02:46:57下载
- 积分：1
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test_low_scales
关于MATLAB的编程和应用，及其在去除噪声中的应用，源程序的编写和修改(On MATLAB programming and applications, and its application in noise removal applications, the preparation and revision of the source code)
- 2009-06-25 12:38:31下载
- 积分：1
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7.5
把各阶导函数的ESD作为a的函数，确定其峰值频率的数值。该函数把以下变量作为输入：a的最小值alphamin，其增量步长alphastep；(various derivative function of the ESD as a function of its peak frequency values. The function of the following variables as input : a minimum of alphamin. its incremental step alphastep;)
- 2007-03-27 19:54:28下载
- 积分：1
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MYLDA
LDA algorithm for matlab
- 2011-10-07 07:17:07下载
- 积分：1
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Concha_CF
【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)
- 2012-10-15 14:24:42下载
- 积分：1
