@article{oai:nagano-nct.repo.nii.ac.jp:00000443,
 author = {鈴木, 宏 and 小林, 史典},
 journal = {長野工業高等専門学校紀要},
 month = {Dec},
 note = {application, Wigner Distribution (WD) has recently attracted attention as a tool for time-frequency signal analysis. However, WD generates interference terms between frequency components. This paper first considers about this interference terms from the viewpoint that WD can be calculated as the convlution of Fourier spectra (FS). Then we describe that these terms are eliminated by the neural network technique. Finally, this technique is verified with a simple simulation.},
 pages = {33--38},
 title = {ニューラルネットワークによるWigner分布の干渉項の除去},
 volume = {26},
 year = {1992}
}