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kf2
一个结合经典的弹簧阻尼系统与卡尔曼滤波的例程,含有word报告说明(Example for a classical Spring+Damp system combined with kalman filter. WORD report appended)
- 2017-07-07 11:54:56下载
- 积分：1
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VideoFromImages
Demo macro to extract frames and get frame means from an avi movie
and save individual frames to separate image files.
Also computes the mean gray value of the color channels.
- 2013-08-05 17:12:43下载
- 积分：1
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lordman_ICA_codes
关于人脸识别中的ICA算法，用MATLAB实现(on the ICA face recognition algorithm in MATLAB)
- 2007-05-31 12:12:44下载
- 积分：1
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BB
对背包问题进行研究 用MATLAB来实现(Knapsack problem using MATLAB to realize)
- 2013-05-15 22:01:14下载
- 积分：1
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system_identification
根据系统的输入和输出，辨识系统的的传递函数。该系统为6阶系统，通过降阶降为2阶后，加入状态反馈和状态观测器，调整参数使2阶系统稳定，最后用于控制原6阶系统。阶跃响应和bode图效果都不错。(Based on the input and output of the system, the transfer function of the system is identified. The system is a 6 order system. After the order is reduced to 2 order, the system is added with the state feedback and the state observer, which adjusts the parameters to make the 2 order system stable. Finally, it is used to control the original 6 order system. Step response and Bode figure results are good.)
- 2016-03-21 21:58:31下载
- 积分：1
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eit2d
一个简单的电阻抗断层成像的仿真程序，使用matlab实现。(a simple example of electrical impedance tomography implemented by matlab.)
- 2021-02-22 21:39:41下载
- 积分：1
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kalman_CT
目标做转弯运动，利用卡尔曼滤波器对其进行跟踪滤波(Goal to make the turning movement, using the Kalman filter tracking filter)
- 2012-08-02 21:17:05下载
- 积分：1
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ECG
这个是一片关于用matlab小波去extrace所有ecg信号的特点的论文()
- 2011-10-08 05:19:42下载
- 积分：1
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hadi-alizade
this is a new alghorithm about tabu search....
- 2013-05-26 16:47:20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
