IEEE_123_COMPLETE

列主元高斯分解 用于计算方法的线性方程组的求解(Out the main element Gaussian decomposition method used to calculate the solution of linear equations)

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.

一种基于matlab的图像小波去噪源代码程序(Wavelet based image denoising matlab source code program)

窗体分辨率自适应这是一个小小的程序例子,可以让大家进行学习的(Form resolution this is a small program example, can let you learn)

学习matlab的ppt课件（华中科技大学的内部资料）(Ppt of learning courseware matlab (Huazhong University of Science and Technology)

multi uav(多无人机matlab下的仿真)(multi uav (multi-UAV simulation matlab))

Aes encryption using matlab

用威布尔分布和matlab程序中的plot函数来模拟设备可靠性在维修后的恢复过程(Describe the recovery of reliability of facilities after maintenance utilizing weibull distribution and plot function in Matlab)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

simulation LLR and Hardware