Time frequency image analysis using neural networks

被引：0
|
作者：
Shafi, Imran [1 ]
Ahmad, Jamil [1 ]
Shah, Syed Ismail [1 ]
Kashif, Faisal M. [1 ]
机构：
[1] Ctr Adv Studies Engn, Islamabad, Pakistan
来源：
2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2 | 2006年
关键词：
Time Frequency analysis; spectrogram; neural networks; Lavenberg Marquardt backpropagation algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A realization of obtaining energy concentration along instantaneous frequency (IF) for blurry Time Frequency Images (TFIs) is proposed using Neural Networks (NNs). NN captures the fundamental principle at work once trained with various spectrogram TFIs by defining various edges present in input data. Unknown spectrogram TFIs of multi component signals, are then given as test images to the trained NN. Measuring the information content in each input & resultant TFI thus manifest the effectiveness of NNs in TFI analysis. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4281670
引用
收藏
页码：315 / +
页数：3
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