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Flare_control
flare control of aircraft using matlab
- 2010-10-18 14:12:32下载
- 积分：1
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chap1_8s
说明： 积分分离PID算法的思想是：当被控量与设计的偏差量偏差较大时，取消积分量，以免积分量使系统稳定性降低，超调量增大；当被控值接近定值时，引入积分控制，以消除静差，提高系统精度。(integral separation PID algorithm thinking is this : When the volume charged with the design of larger deviations deviation, the abolition of Integral volume, the volume so integral to reduce the system stability, over-regulation increased; When charged with setting value approach, the introduction of integral control to eliminate static error and improve system accuracy.)
- 2005-11-13 21:27:29下载
- 积分：1
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data
用于进行图像分类的两个数据，分别为车标和指示牌(Two datasets used to test the accuracy of classification methods)
- 2014-10-28 11:29:05下载
- 积分：1
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CCITT_CRC16
CCITT的CRC16代码，自己编写的已通过验证，注意和Matlab的CRC函数有所不同。(This script calculates the 16-bit ITU-T CRC. The generator polynomial is G(x)=1+ X^5+ X^12+ X^16)
- 2009-09-21 13:11:00下载
- 积分：1
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tfr
matlab 时频分析上面程序第八章的故障诊断的小程序(time-frequency analysis matlab above procedures of Chapter VIII of the small fault diagnosis procedure)
- 2009-02-27 17:54:50下载
- 积分：1
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matab
matab矢量控制 用来计算PWM控制，该文件来自Ti公司的网站(matab )
- 2009-12-04 16:41:25下载
- 积分：1
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noice-reduction
通过小波分解的手段对时间序列信号进行降噪。内有英文说明书。 (The noise reduction of time series signals by means of wavelet decomposition . There are instructions in English.)
- 2011-10-28 10:39:50下载
- 积分：1
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Program
本代碼實現的是將指定英文字段中不重復的單詞個數統計出來。主要借用了dictionary來實現(This code is the specified word statistics the number of out not to repeat the English in the field. Mainly used to achieve dictionary)
- 2014-11-24 21:43:39下载
- 积分：1
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ber
qpsk分别在高斯和瑞丽信道下的符号/比特误码率的仿真。程序不是很大，但挺实用。(Simulation of QPSK respectively in Gauss and Ruili channel symbols/bits error rate. Process is not very big, but very practical.)
- 2015-04-15 16:37:04下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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