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New-ARMA-model-
运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)
- 2012-10-17 16:22:42下载
- 积分：1
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kalman
kalman filter matlab code
- 2010-11-25 19:48:08下载
- 积分：1
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SVD_DWTimage
说明： 提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块，对每一块进行奇异值分解后，选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。(A new wavelet transform based on discrete (DWT) and Singular Value Decomposition (SVD) combination of digital image watermarking algorithm. The algorithm for wavelet decomposition of the original image and wavelet decomposition low-frequency sub-band are divided into blocks, each a singular value decomposition, the selection of each block by the largest singular value methods to quantify Arnold scrambled after embedding the watermark .)
- 2020-12-20 11:49:08下载
- 积分：1
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matlab-training-ppt
完整的matlab教程，简明易学，适合初学者入门。(Complete matlab tutorial, easy to learn, suitable for beginners.)
- 2014-09-01 11:13:51下载
- 积分：1
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HSDCTcode
心音信号的DCT域变换压缩编码，LLoyld最佳量化与霍夫曼编码，利用心电R波进行分帧，在不到1 左右失真度的情况下达到了6.0以上的压缩比(Heart sound signals on DCT transform coding, LLoyld optimal quantization and Huffman coding, the use of ECG R wave sub-frame, less than about 1 in the case of distortion to achieve a compression ratio of more than 6.0)
- 2013-07-27 10:20:40下载
- 积分：1
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bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分：1
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GARCH
对GARCH－t模型参数的估计,主要是运用已有的股票数据估计参数(GARCH-t model for the estimated parameters, mainly the use of stock data has been estimated parameters)
- 2007-12-26 18:21:55下载
- 积分：1
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colordrawout
用matlab编程实现彩色图像的局部分割，下载后解压即可(Programming using matlab partial color image segmentation, can be downloaded after the decompression)
- 2008-04-28 14:52:26下载
- 积分：1
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code2_sherry
Source code for plotting antenna VSWR, Reflected power versus frequency, 10,15,20,25 of reflected powers etc.
- 2011-06-12 17:43:54下载
- 积分：1
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zixianguan_test
各种随机信号的自相关函数和功率谱密度函数、画图(Autocorrelation function and power spectral density function of a variety of random signals, drawing)
- 2012-11-23 19:45:32下载
- 积分：1
