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PLL
Performance of Phase Lock Loop in fading channel
- 2011-06-24 13:54:44下载
- 积分：1
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stream
基于BP_Adaboost的强分类器设计-公司财务预警建模(Strong classifier based on BP_Adaboost design- the company' s financial early warning modeling)
- 2011-10-15 20:37:58下载
- 积分：1
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Clipboard02
This application show how to Copý the entire contents of an multiline edit control to Clipboard and paste into another control.
- 2015-03-15 17:36:40下载
- 积分：1
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MyMC
基于马尔科夫的蒙特卡罗算法，可以精确计算各种随机事件，但是不能运用于太大的系统(Monte Carlo algorithm that can accurately calculate the various random events, but can not be much of a system)
- 2012-11-27 18:50:24下载
- 积分：1
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第12章 因子分析
说明： 因子分析，matlab,例程，有数据，可参考(factor analysis,Matlab, routine, with data, for reference)
- 2020-06-07 12:21:07下载
- 积分：1
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variablerandomorder
超前相位补偿算法超前相位补偿算法超前相位补偿算法超前相位补偿算法(Ahead of the phase compensation algorithm lead phase compensation algorithm lead phase compensation algorithm lead phase compensation algorithm)
- 2011-07-19 21:30:28下载
- 积分：1
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matlab
智能小车是移动机器人的一种，可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物，必须对其进行路径规划?，路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有：BP人工神经网络法（Back Propagation）、机器学习（Reinforcement Learning）、以及模糊控制（Fuzzy Control）方法等。(There are many ways on autonomous mobile robot obstacle avoidance system
designing, which based on fuzzy control of robot obstacle avoidance system is to use the fuzzy logic control system to determine the environmental information around the robot, then plan out a route to the target point with collision-free path. This method has a small footprint, responsive and could be able to cope with relatively complex external environment. In this paper, the main content is fuzzy control theory based obstacle avoidance of mobile robot path planning by research.)
- 2017-12-06 10:47:25下载
- 积分：1
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vc++filterslab
vc++下各种数字滤波器的实验程序，包括带通，带阻，低通，高通。(vc++ a variety of digital filters under the experimental procedures, including band-pass, band stop, low-pass, high pass.)
- 2008-04-07 13:54:05下载
- 积分：1
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face_detection
本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
split up Sparse Network of Winnows is presented to speed up the
original classifier. Finally, the features and classifier are combined
for the task of frontal face detection. Detection results are presented
for the MIT+CMU and the BioID databases. With regard to this
face detector, the Receiver Operation Characteristics curve for the
BioID database yields the best published result. The result for the
CMU+MIT database is comparable to state-of-the-art face detectors.)
- 2013-03-18 17:14:19下载
- 积分：1
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model_completcufunctiedereglare
sistem de comanda automata a avionului .Automatic comand of the aircraft. with automatic reglation.
- 2011-11-14 01:30:27下载
- 积分：1
