资源列表
ICA-matlab
- ICA算法的研究可分为基于信息论准则的迭代估计方法和基于统计学的代数方法两大类，从原理上来说，它们都是利用了源信号的独立性和非高斯性。一般情况下，所获得的数据都具有相关性，所以通常都要求对数据进行初步的白化或球化处理，因为白化处理可去除各观测信号之间的相关性，从而简化了后续独立分量的提取过程,然后再用基于负熵最大的FastICA算法，即可对图像及信号进行解混。-ICA algorithm research can be divided into iterative estimation meth
NMF-matlab
- nmf即是非负矩阵分解，就是把一个非负的源矩阵分解为两个非负的矩阵，在光谱解混中用的较多。-nmf that is non-negative matrix factorization, it is the source of a non-negative matrix factorization of two non-negative matrix, more mixed with the solution in the spectrum.
anfis-example
- This file is useful for introduction od anfis. In this file a sine wave in simulated with anfis system.
pp22
- 采用小波变换对风电功率进行分解，然后基于ARMA对风电功率进行短期预测-Wavelet transform decomposition wind power, then ARMA based on short-term wind power prediction
wave1_2
- Matlab；原始信号；时频分析；短时傅里叶三维时频分析图-Matlab；signal；time-frequency analysis；SFFT
RMSE
- 求解各类误差，精确，如RMSE，样本数据是自己给出的可替换-finding all kinds of error
matlab
- 基于音频处理，包含时域，频域的分析，还对其做了音频傅里叶变换-Based on audio processing, including time domain, frequency domain analysis, also the audio is done in the Fourier transform
EWT20150721
- 一种信号自适应处理方法，通过 提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态,此方法为经验小波变换-A method of adaptive signal processing, Empirical wavelet transform
system-identification
- 基本最小二乘，辅助变量最小二乘，相关分析最小二乘三种系统辨识方法对系统进行参数辨识。附实例和所有代码。-rls,ivls,corls for system identification.and a real case plus all matlab code are contained
time-series-for-prediction
- 基于时间序列对用水量的预测，建立arma模型确定阶数和参数，然后通过前几年的数据和周期性的趋势对未来的数据进行预测和检验.包含实例源数据及所有代码。-Based on time sequence for the forecast of water consumption, the establishment of arma model order and parameters, and then through the data of a few years ago and periodic t
paralell_model1
- 400Hz，单相并联逆变器，重复，双环复合控制,simulink仿真模型-400Hz, single-phase inverters in parallel, repeat, bicyclic compound control
CHAN-TDE
- CHAN时延估计算法，仿真效果图效果很好，经过验证可以准确估计时延。-CHAN time delay estimation algorithm, the simulation results are very good, and the time delay can be estimated accurately.