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kcbc50yz
基于Hammerstein模型对传感器进行建模，可以将其分解为非线性和线性环节，设计完非线性补偿器之后，带入到实验数据，验证补偿效果(Hammerstein model based on sensor modeling, can be decomposed into non-linear and linear aspects of the design after the End of the nonlinear compensator, into the experimental data to verify the compensation effect)
- 2007-07-22 16:48:18下载
- 积分：1
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corner_detector
这是用matlab写的一个corner detector, 效果比现在流行的Harris，susan，CSS等效果要好。 Matlab
确实如此，效果很好，不管是边缘还是角点
(Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering)
- 2012-08-24 11:36:25下载
- 积分：1
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FFTandCONV
用matlab编写的线性卷积和FFT，与matlab自带函数功能一样。每行代码都有注释，便于拓扑和扩展(Linear convolution and FFT using matlab matlab own function function. Each line of code is well commented, easy topology and extended)
- 2013-03-22 15:51:19下载
- 积分：1
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toh
tower of henoi problem solving with MATLAB.
- 2014-11-14 13:27:04下载
- 积分：1
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MinesweeperAlgorithm
tells the spots to open and to flag in a 5*5 minesweeper(needs to be called again and again) can be expanded for bigger minesweeper games easily
- 2010-08-21 05:23:34下载
- 积分：1
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zhifangquwufa
对于彩色图像，用直方图的方法去掉雾，使得图像清晰(For color images, using the histogram method to remove fog, making the image clear)
- 2009-04-27 22:15:06下载
- 积分：1
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belka
Inverted pendulum in cart controled by torque. It contains regulators: one to move it, second to stabilize pendulum, and last to stabilize the cart
- 2009-05-26 22:06:58下载
- 积分：1
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PQ-powerflow
说明： 运用P-Q分解法进行电力系统潮流计算，本程序用的是IEEE-14标准节点数据。(PQ decomposition method using power flow calculation, this procedure is used in standard IEEE-14 node data.)
- 2010-05-03 09:52:54下载
- 积分：1
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MIEEPB
chain based routing protocol for wireless sensor networks.
- 2015-03-29 13:29:15下载
- 积分：1
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小波神经网络的时间序列预测-短时交通流量预测
本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)
- 2021-03-17 16:09:21下载
- 积分：1
