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ped1
pedestrain detection
- 2011-10-21 22:21:11下载
- 积分：1
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Using-Advanced-Signal-Processing-Techniques-on-Am
Using Advanced Signal Processing Techniques on Ambient Vibration Records of a Structure
- 2013-11-07 16:51:55下载
- 积分：1
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basicprogram2
MATLAB Basic codes for finding mahanobis distance,gaussian,multivirate
- 2013-12-07 01:30:08下载
- 积分：1
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LCMV
基于最小均方误差方式进行波束成形，其仿真图形为角度和幅度的关系。(Method based on minimum mean square error beamforming, which is a simulation graph of the relationship between the angle and magnitude.)
- 2013-12-23 11:22:53下载
- 积分：1
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neuralnetworkdesignusingsteepestdescentalgorithm
Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data
- 2010-11-14 09:30:25下载
- 积分：1
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Untitled7
基于matlab的车牌识别系统设计源码，由于对硬件的要求，只能识别特定环境下拍摄到的车牌(Based on the license plate recognition matlab source system design, because of hardware requirements, can only identify the specific circumstances of the license plates photographed)
- 2009-05-30 10:41:37下载
- 积分：1
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cs_coupling_1
CD ER ER ERF DF DDF DF DFDFVF D
- 2012-03-25 20:29:19下载
- 积分：1
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radar2
1、 生成多周期线性调频信号，并对其进行频谱分析；
2、 对仿真生成的信号利用两种窗口函数进行STFT变换生成时频分析图(1, to generate multi-cycle chirp signal, and its spectrum analysis 2, the signal generated by the simulation window function using two STFT transform to generate time-frequency analysis chart)
- 2013-09-17 09:44:27下载
- 积分：1
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jh
说明： 江河警督优化模型数学建模希望大家仔细看看(Optimization model for river police inspector hope that a closer look at mathematical modeling)
- 2011-06-13 19:15:41下载
- 积分：1
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tixingguanzi2
分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)
- 2014-01-09 14:11:20下载
- 积分：1
