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PSO
高级优化算法
粒子群优化算法(求解无约束优化问题)
PSO(基本粒子群算法)(Advanced Optimization Algorithm
Particle swarm optimization (unconstrained problem) PSO (Particle Swarm Optimization))
- 2010-08-19 16:23:05下载
- 积分：1
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random_fractal
generate simple random fractals recursively
- 2010-03-10 17:05:55下载
- 积分：1
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ofdm_qpsk_simulation
说明： 这是matlabR14版本的正交频分复用的仿真程序(This is matlabR14 version of orthogonal frequency division multiplexing of the simulation program)
- 2008-10-27 11:27:01下载
- 积分：1
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dmtteq
多载波调制的仿真程序(multicarrier modulation simulation program EXPLOSIVE )
- 2006-05-31 09:28:56下载
- 积分：1
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Power-Load-Forecasting-Model
Elman神经网络的数据预测—电力负荷预测模型研究(Elman neural network data prediction- Power Load Forecasting Model)
- 2013-07-11 09:30:55下载
- 积分：1
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方程解法
基于matlab的不动点迭代法、二分法以及牛顿法求解方程，进一步优化了计算步骤。(Fixed point iterative method for solving equations based on Matlab)
- 2017-08-01 19:00:26下载
- 积分：1
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MFO
飞蛾扑火算法，新型算法,matlb程序，可以测试，里面还包含很多最近出现的新型算法(Moths algorithm, the new algorithm, matlb program, you can test, which also includes many new algorithms recent)
- 2020-12-01 15:49:27下载
- 积分：1
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PDmatlab
变压器局部放电实验数据处理matlab程序，有去噪，波形峰值，相位信息获取。(PD matlab experimental data processing procedures, denoising, waveform peaks, to obtain phase information.)
- 2020-12-22 16:59:06下载
- 积分：1
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Haar-wavelet-image--processing
说明： 用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。(Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve the source code.)
- 2011-04-09 20:39:46下载
- 积分：1
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denoisingWavelet
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding.
- 2013-12-11 17:34:39下载
- 积分：1
