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motor control by matlab

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, p. 230-245, May 15th, 2004, Prague, Czech Republic, Springer-Verlag. Available at: http://cns.bu.edu/~lgrady/grady2004multilabel.pdf

生成（0,1）随机序列，白噪声。生成M序列。(Generating (0,1) random sequence, the white noise. Generate an M-sequence.)

huffman matlab 编程 最优二叉树(huffman matlab )

拓扑大师sigmund编写的matlab经典拓扑程序(Master sigmund topology topology program written in matlab classic)

使用matlab编写有源滤波器，控制方法为滞环比较法(use matlab to edit active power filter，the controlling method is hysteresis comparison method)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

online library is a project for b.tech students

log of a structure 9 story

JSON library SimpleJSON