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[CommunicationTransport-format-combination-selection-for-compres

Description: Transport format combination selection for compressed mode in a W-CDMA system-Transport format combination selection f or compressed mode in a W-CDMA system
Platform: | Size: 23118 | Author: mxy | Hits:

[Othercombination

Description: Combinations in C++, Combination is the way of picking a different unique smaller set from a bigger set, without regard to the ordering (positions) of the elements (in the smaller set).
Platform: | Size: 5248 | Author: pbb | Hits:

[OtherCombination

Description: 彩票号码筛选的程序-lottery number Screening procedures
Platform: | Size: 271360 | Author: | Hits:

[Special Effectsjoinbmpx

Description: Image combination. This program adds two image together from the row direction and automatically detect the size of the two images.
Platform: | Size: 1024 | Author: 张希勇 | Hits:

[Program docTransport-format-combination-selection-for-compres

Description: Transport format combination selection for compressed mode in a W-CDMA system-Transport format combination selection f or compressed mode in a W-CDMA system
Platform: | Size: 22528 | Author: mxy | Hits:

[Graph programimageintensify

Description: 基于Matlab的结合Laplacian Pyramid 和反锐化掩膜的改进法的图像增强算法-Matlab based on a combination of Laplacian Pyramid and unsharp mask to improve the method of image enhancement algorithm
Platform: | Size: 3556352 | Author: shijing | Hits:

[Othercombination

Description: Combinations in C++, Combination is the way of picking a different unique smaller set from a bigger set, without regard to the ordering (positions) of the elements (in the smaller set). -Combinations in C++, Combination is the way of picking a different unique smaller set from a bigger set, without regard to the ordering (positions) of the elements (in the smaller set).
Platform: | Size: 5120 | Author: pbb | Hits:

[AI-NN-PRicsiboost-0.3.tar

Description: Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
Platform: | Size: 116736 | Author: njustyw | Hits:

[OtherCombination

Description: 组合算法的各种实现及讨论。 算法的优劣,原理等。-Combination of algorithm and discuss the various realize. The merits of algorithms, theory, etc..
Platform: | Size: 1024 | Author: tonymo | Hits:

[JSP/JavaCombination

Description: 如何用一个通用的java程序找到任何一组java元素集(Object)的全部所有的组合集?这个私人收藏的简单程序可以做到。欢迎下载。-How to use a generic java program to find any one group of java Element Set (Object) a combination of all the full set? This private collection of simple procedures can be done. Welcome to download.
Platform: | Size: 1024 | Author: howard | Hits:

[VHDL-FPGA-VerilogElectronic_combination_lock

Description: 实现电子密码锁的功能,有密码出错,修改密码等功能-Electronic combination lock
Platform: | Size: 478208 | Author: | Hits:

[Special EffectsCircle_Recognition_Through_a_Point_Hough_Transform

Description: :给出了一种新的Hough 变换圆检测方法——点Hough 变换(PHT)。该方法根据圆周上任意两条不平行弦的中垂线相交与圆心的几 何性质,同时选取曲线上3点 进行计算,将传统Hough变换圆检测时的三维参量统计变成一维参量统计,极大地降低了计算复杂性和对资源的需求。为了克服任意选取组合点可能带来的计算量增加及统计结果的分散程度提高,文中提出了点的选择方法。合成图和实际图像的实验结果表明,该方法用于普通图像中圆检测时快速、稳定、准确。-: This paper presents a new method of Hough transform circle detection- point Hough transform (PHT). The method according to any circle on the two parallel strings do not intersect with the vertical center of the geometric properties, select the curve at the same time to 3:00, the traditional Hough transform circle detection parameters when the three-dimensional into a one-dimensional statistical parametric statistics, greatly reduces the computational complexity and demand for resources. In order to overcome the combination of any selected point of the calculation of the potential increase in the dispersion results and the degree of increase in the points raised in the text of the selection method. Synthesis of maps and images of the actual experimental results show that the method can be applied to general image circle detection in rapid, stable and accurate.
Platform: | Size: 212992 | Author: 王浩 | Hits:

[Communication-Mobiledenoise_filterbank

Description: 由于自适应滤波器组的频率响应匹配于信号的统计特性,所以能够得到更为有效的信号分解. 文中根据信号的统计特性,按照低通子带能量最大化的原理设计自适应滤波器组. 结合自适应滤波器组和传统的阈值方法,得到一种更为有效的去噪方法. 实验结果表明,与相同长度的标准滤波器相比,新方法得到了更大的信噪比改善.-Adaptive filter banks as a result of the frequency response to match the statistical properties of the signal, it can be more effective decomposition of the signal. According to the statistical properties of signals, in accordance with the low-pass sub-band energy to maximize the principle of the design of adaptive filters. combination of adaptive filter and the traditional threshold methods, to be a more effective de-noising method. The experimental results show that the standard with the same filter length, the new methods to improve signal to noise ratio greater.
Platform: | Size: 56320 | Author: gg | Hits:

[ActiveX/DCOM/ATLpic-combination-lock

Description: compinational digital code lock using PIC
Platform: | Size: 71680 | Author: mero | Hits:

[Special EffectsCombination-of-Multiple-Features-for-Object-or-Bac

Description: 通过组合多种图像特征 , 实现 了一种新的检测运动物体方法。 一方 面,组合 图像 的颜 色、梯度和纹理特征 , 利用梯度和纹理信息对亮度变化不敏感的特性,提高运动物体分割的准确性 ;另一方面,使用图切割算法对物体/ 背景进行分割, 在不影响整体分割 结果前提下修 正局部判别错误 的像素点, 分割结果噪声少且稳定性强。 -A novel method is proposed to detect moving objects based on the linear combination of multiple features. Firstly the color gradient and texture features are synchronously used to construct background model.Secondly graphcut algorithm is employed to computer the object segmentation.
Platform: | Size: 535552 | Author: 巡洋舰 | Hits:

[Special EffectsMFC

Description: 一个很好的有关OPENCV和MFC相结合的例子,-A good combination of relevant OPENCV and the MFC example,
Platform: | Size: 3778560 | Author: 张微 | Hits:

[SCMText5

Description: 单片机应用之摩斯密码电子锁, 基本上摩斯电码就是由一个短音的“嘀”,和长音的“嗒”构成,如果换成数字电路就是0和1。而且由单个键控制其接奏长短通过其组合来待表不同的字母和-SCM application of the Morse code electronic lock, basically Morse code is by a short sound of " tick" , and a long sound of " despair" constitutes, if replaced with digital circuits is 0 and 1. But also by a single button to control its access played to be the length of the table through its combination of the different letters and
Platform: | Size: 3072 | Author: czc | Hits:

[Othercombination

Description: Combination Lister. For example: C15~5, C22~6
Platform: | Size: 5120 | Author: twinst | Hits:

[Communicationrocplot

Description: ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier
Platform: | Size: 4096 | Author: saadat | Hits:

[DataMiningcombination lock.

Description: combination lockfor the Arduino
Platform: | Size: 2484 | Author: klsvirshik | Hits:
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