GraphicsAndGUIsWithMATLAB3rdEd2003Part2c

matlab based modular fuel cell an ieee based project in which the simultion

Matlab7.0 程序设计语言（第二版）楼顺天 的电子课件(Matlab7.0 Programming Language (second edition) floor of the electronic courseware Shuntian)

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.

说明：  Adding Two different matrecis with the same dimentions by matlab

finds dis between 2 nodes and how to join cluster

MATLAB 2009b 从入门到精通，关于matlab的相关操作。 (If you are viewing this topic in the MATLAB Help browser, you can run one of the utilities provided here to create associations in the Windows environment for common file types used by MATLAB.)

This program provides haar DWT without using matlab inbuilt function, deadzone quantization, blocking of image and bitplane encoding..........

Optimizing Time-Domain Response of Simulink(R) Models Using Parallel Computing

a matlab function to calculate the Forester interest operator

Addition of AWGN noise using matlab function