搜索资源列表
readerssar
- matlab读取ers sar 数据 matlab读取ers sar 数据 asar 数据-read ers sar and asar data
FontMatrixGeneration
- 用户输入汉字，生成不同规模的字模矩阵，主要用于基于单片机的液晶显示方面。-Users to charactinput Chinese ers, generating matrix matrix of different sizes, mainly for single-chip based on liquid crystal display.
java200308091619
- ers block a well-known game easy and funny-a game of ers block
ersgame
- 经典游戏ERS方块，可在网页运行，也可以applet方式运行game.java来运行程序-ers game
Erlang_Programming
- it s a good book about Erlang programing language, which is mainly focused on telecommunication systems, but today these requirements are applicable to a large number of applications, and Erlang is used in applications as divergent as distributed
validate
- some validate examples in php wirh ERs
ers
- 是俄罗斯方块,可以为装有java的客户端使用-is very good
ERSandERD
- 脑-机接口中基于ERS/ERD 的自适应空间滤波算法-Adaptive Spatial Filter Based on ERD/ERS for Brain-Computer Interfaces
barmaki
- Measurements of Ocean Surface Topography using the ERS-1 Radar Altimeter
java-ers
- 俄罗斯方块java源码实现，每个功能实现都有详细说明
LocalWindow
- 局部窗口生成算法，根据SIGGRaph上的论文：Video SnapCut: Robust Video Object Cutout Using Localized Classifi ers完成。-Local window generation algorithm, according to a paper on SIGGRaph: Video SnapCut: Robust Video Object Cutout Using Localized Classifiers complete
adaptive-genetic-algorithm
- 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但 是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费
ers-20
- 用与测试编译是否存在bug 是否正常 有效 才能保证易文件的运行流畅-Use and test whether there is normal compiled bug can ensure the effective functioning YiWen thing
Range-Dependent-Phase-Gradient-Autofocus
- The Phase Gradient Autofocus (PGA) algorithm has been widely used in Spotlight Synthetic Aperture Radar (SAR) to remove motion-induced blurs in the images. The PGA algorithm has been proven to be a superior autofocus method. PGA assumes a nar
Discriminativemodelsformulticlasobject
- Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classifi cation task. Such re- ductions allow one to leverage sophisticated classifi ers for learning. These models are typically trained independentl
IEEE14
- Independent control of active and reactive power without any needs for extra compensating equipment. With PWM, VSC-HVDC o® ers the possibility to control both active and reactive power independently . While the transmitted active power is k
LM-filter
- Leung-Malik (LM)滤波器组由48个滤波器组成-The LM set is a multi scale, multi orientation filter bank with 48 filters. It consists of first and second derivatives of Gaussians at 6 orientations and 3 scales making a total of 36 8 Laplacian of Gaussian (LOG) filt
Measure-for-Human
- 人体运动参数检测是生成人体运动计算机仿真演示和控制拟人机器人运动的主要手段。近年来针对这 种检测方法国内外研究人员展开了广泛的研究。本文介绍了基于模型的人体运动参数检测方法的研究现状, 为人 体仿生学和拟人机器人等领域的科学研究提供依据-Mea sur e for huma n mo tio n par ameter s is a main method to g ener ate computer simulatio n o f human mot ion and t o co n
Research-on-Optimization
- 介绍了基于模型的位姿估计中所使用的一些优化方法。为了提高位姿估计的精度, 摄像机的标定参数必须足够精确, 这就对标定过程的非线性优化算法提出了很高的要求, 采用了一种新的优化目标函数, 用来最小化控制点间的三维重建误 差, 从而使标定参数是全局最优 在双像机位姿估计中, 引入了实时遗传算法进行全局搜索, 加快了算法的收敛速度。最后的 实验证明了这些方法的正确性并显示出这些方法在精度上比传统方法有了较大程度的提高- It int roduces s ome opt imizat ion
sv-memo
- Support Vector Machines Training and Applications-The Support Vector Machine SVM is a new and very promising classication technique developed by Vapnik and his group at ATT Bell Laboratories This new learning algorithm can