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TSPHopfield
基于Hopfield的神经网络算法的MATLAB编程求解旅行商问题，程序复杂，但是求解效果很好(Hopfield of neural network algorithm based on the MATLAB program for solving the traveling salesman problem, complicated, but works well for solving)
- 2010-05-15 12:14:08下载
- 积分：1
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basicboostconverter
this is simulink model of boost converter basic principal of operation
- 2013-08-26 06:02:12下载
- 积分：1
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Helmholtz
Helmholtz方程的有限元解法，可以任意加密网格剖分，求解结果用图像显示.(Helmholtz equation finite element method, you can encrypt arbitrary mesh, the image display solution results.)
- 2013-11-08 18:48:40下载
- 积分：1
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huffman
在matlab中实现哈夫曼压缩和解压缩。(Huffman compression and decompression in matlab.)
- 2013-12-04 16:01:36下载
- 积分：1
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vfm_plot
利用532nm激光雷达反演的消光后向散射系数、气溶胶消光系数的垂直廓线及气溶胶光学厚度(The use of 532nm lidar extinction to the vertical profiles of aerosol extinction coefficient, scattering coefficient and aerosol optical thickness)
- 2021-02-23 23:59:40下载
- 积分：1
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Elman_main
说明： 不用工具箱实现的elman神经网络，基于BPTT算法实现(Elman neural network without toolbox)
- 2020-04-05 12:21:27下载
- 积分：1
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自适应噪声对消源代码
采用波束成形技术的BER计算，IMC-PID是利用内模控制原理来对PID参数进行计算，能量熵的计算，供做算法研究人员参考，插值与拟合，解方程，数据分析，主同步信号PSS在时域上的相关仿真。
- 2022-03-19 07:27:24下载
- 积分：1
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DSP-MATLAB
信号分析与处理-张轶，
内大量有PPT，资料和源码(Signal analysis and processing- Zhang Yi, within the large number of PPT, information and source)
- 2010-07-14 16:46:17下载
- 积分：1
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BrugLevinson
MATLAB实现功率谱估计的程序最大熵谱法,Brug法和Levinson法。(MATLAB realize the power spectrum estimation procedure for maximum entropy spectral method, Brug law and Levinson Law.)
- 2008-03-20 19:46:56下载
- 积分：1
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Matlabcodes-RobustPCA
Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps:
Step1
Calculates the robust mean and the robust
covariance of original dataset using the
minimum covariance determinant (MCD).
In MCD technique, finding a subset
containing half of the data such that its
covariance matrix has the lowest determinant, then using this subset to
calculate the robust mean and the robust
covariance matrix (Hubert, Rousseeuw, &
Branden, 2005)
Step2
Standardize data using robust mean and
robust standard deviation from Step1.
Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and
A is p*p matrix of eigenvectors (also called principalcomponents))
- 2009-11-11 08:07:04下载
- 积分：1
