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16QAMMODULATIONBER
A simple code to simulate BER of 16QAM modulation
- 2010-09-21 05:57:13下载
- 积分：1
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Collocation
加权余量法--配点法法求解一维扩散方程。参考书《Computational Techniques for Fluid Dynamics》(The weighted residual method- collocation method for solving one-dimensional diffusion equation. Reference book " Computational Techniques for Fluid Dynamics" )
- 2013-05-21 22:16:11下载
- 积分：1
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模型自适应模糊控制源代码
说明： 运用模型参考的方法实现自适应控制的!采用lypanuov稳定性理论来设计参数的调节(Using model reference method to realize adaptive control! Using lypanuov stability theory to design parameter adjustment)
- 2019-03-15 20:06:43下载
- 积分：1
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National-Taiwan-Central-University
National Taiwan Central University开发的HHT算法，基于matlab平台。供大家参考(HHT from National Taiwan Central University base on matlab)
- 2013-01-04 11:07:25下载
- 积分：1
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WNN
小波分析以及小波神经网络的MATLAB源程序(The wavelet analysis and wavelet neural network implementation ways)
- 2015-03-19 20:23:12下载
- 积分：1
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LMS
以最小均方算法为约束条件的自适应波束形成(Adaptive beamforming with the minimum mean square algorithm as the constraint)
- 2018-09-11 20:54:30下载
- 积分：1
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MIMO-OFDM
MATLAB源码MIMO-OFDM（simulinkANDmatlab）MIMO-OFDM不同信道估计的对比(MATLAB source MIMO-OFDM simulinkANDmatla MIMO-OFDM channel estimation with different contrast)
- 2010-11-23 10:03:40下载
- 积分：1
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PAPER3
距离扩展目标的双门限恒虚警检测器及性能分析.pdf(Double Threshold CFAR Detector of Range-spread Target and Its Performance Analysis)
- 2012-09-16 12:24:24下载
- 积分：1
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114
Spectrum analyzer with USRP, GNU Radio and MATLAB
- 2009-09-14 21:34:08下载
- 积分：1
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rocplot
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
- 2009-12-14 20:49:44下载
- 积分：1
