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it contains use case specification templates for a software engineering project

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

惯性导航算法，有输入数据，在MATLAB下的哦，直接就可以运行得通，惯性技术作业哦!(Inertial navigation algorithm, the input data in MATLAB Oh, it can be shipped directly works, inertial technology jobs oh!)

《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。(" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method.)

基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化(GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast, the image binarization and color pictures of the gray degree of)

将MATLAB源文件编译成可执行程序的步骤(MATLAB source files will be compiled into an executable program steps)

Recovery phase with recursive Costas loop. Bpsk symbols to demodulate

ml frquncy cpstrl cffcient ung gmmodl

Investigat abuot CODE F28335

用PCA主成分分析進行錯誤訊號分離 可應用在晶圓製程資料的分析(PCA principal component analysis of the error signal separation can be applied to the wafer process data analysis)