GetMousePointer

无迹卡尔曼滤波算法,用无迹卡尔曼滤波算法实现了跟踪中的误差估计(the function of ukf)

用软件实现的滤波器，基于matlab，包含源文件和项目设计的论文和报告(DF based on matlab)

这个脚本提供了一个基本的框架来处理视频数据在一个相对快速的循环。它使用基本功能的视频采集的工具箱,特别是peekdata()函数。提供一个计时器来估计循环频率。 (This script provides a basic framework for working with streaming video data in a relatively fast loop. It uses basic functionality the video acquisition toolbox, specifically the peekdata() function. A timer is provided to estimate loop frequency.)

Lax-Wendrof法求解一介波动方程，初始条件c=1m/s, x=1-2,u=2m/s(Lax-Wendrof method to solve wave equation)

Direct Torque Control, Induction Motor Vector Control Without

`1-magic : Recovery of Sparse Signals via Convex Programming

蓝牙系统建模仿真，matlab构建蓝牙通信系统，值得学习(Bluetooth system modeling and simulation, matlab build Bluetooth communication system, it is worth learning)

Compensator design Parasympathetic control of the heart in cats

数字信号分析，用matlab你建立一个具有界面的频谱分析仪(make a FFT spectrum analyzer using the GUI of matlab and tells some basic knowledge of the spectrum analyze of a signal.)

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)