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RANSAC4Dummies
说明： 适合初学者ransac算法的基本原理，较为详细全面的介绍了ransac算法(Ransac algorithm suitable for beginners the basic principles of a more detailed and comprehensive introduction to the ransac algorithm)
- 2011-03-14 15:17:32下载
- 积分：1
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mimocapacity
瑞利衰落信道下的MIMO各态历经系统容量仿真(Rayleigh fading channels MIMO ergodic system capacity simulation)
- 2008-07-14 22:17:45下载
- 积分：1
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chaos
混沌吸引子，有logistic,有lonez等(Chaotic attractor, there are logistic, etc. have lonez)
- 2013-07-09 17:31:45下载
- 积分：1
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stc_qpsk
基于QPSK调制方式配合MIMO通信原理进行的STC编发的matlab仿真(Based on QPSK modulation with MIMO communication principle of STC braided matlab simulation)
- 2013-08-15 14:33:42下载
- 积分：1
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新建文件夹
单元刚度矩阵转化为整体矩阵，如何在MATLAB中实现(stiffness matrix THE BELOW ELEMENT MATRICES AND LOAD VECTORS ARE IN THE NODAL COORDINATE SYSTEMS.
GRAVITY AND TRANSIENT EFFECTS ARE INCLUDED.)
- 2019-05-16 16:53:30下载
- 积分：1
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Hermite-interpolation
Hermite插值代码，用于科学计算和数据处理，适用于matlab学习者以及工程技术人员参考。(Hermite interpolation code for scientific computing and data processing for matlab learners and engineering and technical officers.)
- 2013-12-31 10:56:47下载
- 积分：1
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MPPT
最大功率跟踪爬山法的控制模型，可成功跟踪，带滤波(MPPT control model climbing method can successfully track with filter)
- 2015-03-11 21:35:05下载
- 积分：1
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chengxu3
说明： 中国人口预测程序，很全面的，是MCM试题的源程序(Forecast of China' s population program, it is comprehensive, is the source MCM test)
- 2009-07-27 00:04:24下载
- 积分：1
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toolbox-Algoritmos-geneticos
Pequeno tutorial para estudial el toolbox de Matlab gatool
- 2011-05-31 02:05:26下载
- 积分：1
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gender-classification-experiments
这是用身高体重数据进行性别分类的实验。
用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。
用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。
(This is the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
)
- 2012-02-02 20:40:46下载
- 积分：1
