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L1precision
matlab L1 precision using MAP
- 2010-11-22 06:27:49下载
- 积分：1
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bch
自己年编写的matlab中bch码的仿真程序。有编码和译码2个主程序，附有运行结果。(Their own, prepared in BCH code in matlab simulation program. Coding and decoding has two main program, with the results.)
- 2008-06-09 20:47:04下载
- 积分：1
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gen_m_Seq
利用线性移位寄存器的线性关系，输出一个m序列(get m sequence by the relationship
of the Line Feedback Shift Register)
- 2009-12-29 16:52:34下载
- 积分：1
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kalman-simulink
卡尔曼滤波用simulink实现，有3个例子，能运行！(Kalman filter using simulink, there are three examples can run!)
- 2012-06-29 12:18:19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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gvalue
彩色图像质量评价程序，用于评价彩色图片的清晰度(Color image quality assessment procedures for resolution of color images)
- 2010-10-08 10:13:40下载
- 积分：1
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DFTaIDFT
离散傅里叶变换与逆离散傅里叶变换的程序代码( The program codeDiscrete of Fourier transform and inverse discrete Fourier transform )
- 2011-12-29 19:11:42下载
- 积分：1
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Desktop
说明： 模糊 ， PID在储能充电放电中的应用。(Application of fuzzy PID in energy storage charge and discharge)
- 2019-05-29 19:17:38下载
- 积分：1
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SGA2.0
遗传算法源码,在matlab环境下做的,可以仿真 简单的遗传运算(Genetic algorithm source code in matlab environment so can a simple simulation of genetic computing)
- 2008-06-13 09:16:43下载
- 积分：1
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pgpi
PGPI(NUM,DEN,W,FI,A) plots the stability boundary locus L(KP,KI,W)in the (KP,KI)-plane for an LTI system with transfer function defined by its NUM, DEN coefficients and driven by a PI controller with transfer function, C(s)=kp+(ki/s). Frequency (W) gridding becomes important. Phase Margin, FI, and Gain Margin, A, can be defined.
The method works for open loop stable or unstable, minimum or nonminimum phase systems.
With Examples.
Method and examples used are form "Computation of Stabilizing PI and PID Controllers" by Nusret Tan, Ibrahim Kaya and Dereck P. Atherton.
MATLAB release MATLAB 7.5 (R2007b)
- 2011-04-18 23:07:06下载
- 积分：1
