资源列表
speckle
- 生成变形前后高斯分布的散斑图像,可调节散斑尺寸、散斑数量等相关参数,并提供散斑质量的评价方法,用于DIC的模拟计算(The speckle image of Gauss distribution before and after deformation can be adjusted, speckle size, speckle number and other related parameters, and the speckle quality evaluation method is al
hrrqy
- It has a wealth of parameter options, Foreign model is finished, music higher order spectral analysis algorithm.
fh204
- Import data files as input parameters matlab program is running, The final weight matrix is ??the filter coefficient, Sampling from a priori probability, calculate the weight.
分词系统
- 这是我开发的分词系统,对学习分词的同学有很大帮助
3540
- Energy entropy calculation, Single path or multipath Rayleigh fading channel simulation, gmcalab fast generalized form component analysis.
qpsau
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Verification is available, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
knqig
- FIG simulation speed, distance, amplitude three-dimensional image, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including AHP, factor analysis, regression analysis, cluster analysis.
MS多元
- 检验:在回归分析中,如果有两个或两个以上的自变量,就称为多元回归。事实上,一种现象常常是与多个因素相联系的,由多个自变量的最优组合共同来预测或估计因变量,比只用一个自变量进行预测或估计更有效,更符合实际。因此多元线性回归比一元线性回归的实用意义更大。(In regression analysis, if there are two or more independent variables, it is called multiple regression (two). In fact, a p
vsreq
- PLS tion of 10 digital aud PLS toolbox, Realization of 10 digital audio recognition program Ensure accurate communication is learning a good helper.
gingmei-V3.7
- Use serial programming examples matlab GUI implementation, Very convenient to use, Least-squares algorithm to fit a three-dimensional plane.
vpdyn
- The performance of the program has reached a high level, MIT Artificial Intelligence Laboratory identification of the target source, allan FOG output error variance analysis.
guiqingbie
- Complete HMM-based speech recognition system, Chaos-based simulated annealing algorithm, SNR largest independent component analysis algorithm.
