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fsmem_mvgm
- Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds-Free Split and Merge Expectation-Maximization algorithm for Multivariate
em
- Expectation Maximization for training GMM s, diagonal covariances. Requires vqtrain.m to have a good initialization.
soliton
- 采用分步傅里叶方法对NLSE 进行了求解，并在归一化和功率补偿条件下模拟和分析了输入脉冲为双曲正割脉冲，高斯脉冲，超高斯脉冲传输对比情况，以及一到三阶双曲正割光脉冲条件下光脉冲传输演变情况-Using split-step Fourier method NLSE was solved, and in the normalization and power compensation under simulation and analysis of the input pulse for the h
BPM_focusing_lens
- simulation of Gaussian Beam Focused by a lens using split-step beam propagation method-BPM_focusing_lens, simulation of Gaussian Beam Focused by a lens using split-step beam propagation method
exp7
- LBG分类算法 用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。 -LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature v
Ibasedoncolorn
- 为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 - -A road split in order to improve the effectiveness of unstructured road recognition algorithm is proposed to establish a road regional domain and non-road area Gau