matlab人脸识别代码

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

快速可靠的GPS (全球定位系统)系统仿真可对双频GPS 接收机的设计、接收算法的研究 提供有效的帮助。文中详细介绍了在MatLab/Simulink 环境下GPS 系统仿真平台构建的基本方法。 首先分析了GPS 系统的各个环节，说明了各模型在仿真中的实现方法；然后给出了完整的系统仿 真框图，并在此平台上实现了GPS L2 载波相位跟踪的仿真。结果表明该仿真平台有效、可靠(Fast and reliable GPS (Global Positioning System) system simulation of dual-frequency GPS receiver design, receiver algorithm to provide effective help. Text in detail in the MatLab/Simulink environment GPS system simulation platform to build the basic method. First, we analyze the various segments of GPS systems shows that the model in the realization of simulation methods and then given a complete system simulation block diagram, and on this platform realize the GPS L2 carrier phase tracking of the simulation. The results show that the simulation platform for effective, reliable)

一种求解优化问题sedumi例子，较为好用，可以有效的求解SOCP与SDP问题(An example of solving optimization problem sedumi is easy to use, and it can be used to solve sedumi and SDP problems effectively.)

说明：  根据股票的日收益率 计算该股票的在险价值VAR 并对不同的置信度进行计算 并附带作图功能(Value at Risk (VAR) of the stock is calculated based on the daily return of the stock, and different confidence levels are calculated with the function of drawing.)

本文详细介绍了利用工具箱实现BP算法，很不错！(This paper describes the use of the toolbox achieve BP algorithm, very good!)

说明：  标准粒子滤波目标跟踪源码！ 一维情况下 非线性非高斯,(Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,)

二维fdtd，mur吸收边界，方柱的散射(2D fdtd, mur absorption borders, side-scattering)

独立分量分析用于混合信号的分离，使用的算法是快速固定点算法，3路混合信号分别为man.pcm、dragon.pcm和music.pcm(Independent component analysis for mixed-signal separation algorithm used is a fast fixed-point algorithm, 3-way mixed-signal, respectively man.pcm, dragon.pcm and music.pcm)

基于matlab的数字滤波器设计的文献大全(Matlab digital filter design based literature Daquan)

Canny 算子在一个多阶段的过程。首先，所有的图像平滑的高斯卷积。然后简单 2-D 的第一次导数运算符 （有点像罗伯茨交叉） 被应用于平滑的图像，来突出显示具有高第一次空间导数图像区域。边缘引起的梯度图像中脊。然后该算法跟踪这些脊顶部，并设置为零并非实际上的脊顶部，在输出中，该过程称为非最大抑制给一条细线的所有像素。跟踪过程展品滞环控制的两个阈值： T1 和 T2 和 T1 > T2.跟踪只能高于 T1.跟踪的山脊上某点开始，然后继续在两个方向出从点直到的山脊高度低于 T2。 这迟滞有助于确保周边的嘈杂不被分解成多个边缘片段。