SS-SPS-4.2

LEARNING THE STATISTICAL MODEL OF THE NMF USING THE DEEP MULTIPLICATIVE UPDATE ALGORITHM WITH APPLICATIONS

Hiroki Tanji, Takahiro Murakami, Meiji University, Japan
Session:
Digital Filters and Its Applications
Track:
Signal Processing Systems: Design and Implementation (SPS)
Session Time:
Fri, 17 Dec, 13:00 - 15:00 Japan Standard Time (UTC +9)
Fri, 17 Dec, 04:00 - 06:00 Coordinated Universal Time
Thu, 16 Dec, 23:00 - 01:00 Eastern Standard Time (UTC -5)
Thu, 16 Dec, 20:00 - 22:00 Pacific Standard Time (UTC -8)
Session Co-Chairs:
Shunsuke Yamaki, Tohoku University and Kenji Suyama, Tokyo Denki University
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Session SS-SPS-4
FR2.LS-A.2: LEARNING THE STATISTICAL MODEL OF THE NMF USING THE DEEP MULTIPLICATIVE UPDATE ALGORITHM WITH APPLICATIONS
Hiroki Tanji, Takahiro Murakami, Meiji University, Japan
FR2.LS-A.3: AN IMPROVED PARAMETER FREE GENETIC ALGORITHM FOR CSD-FIR FILTER DESIGN
Ryota Kato, Kenji Suyama, School of Engineering, Tokyo Denki University, Japan
FR2.LS-A.4: A PROPOSAL TOWARD STANDARDIZATION OF DESIGN EXAMPLES FOR IIR FILTER DESIGN METHODS
Yuta Harigae, Kazuki Matumoto, Kenji Suyama, School of Engineering, Tokyo Denki University, Japan
FR2.LS-A.5: ON OPTIMAL REALIZATIONS FOR ALL-PASS FRACTIONAL DELAY DIGITAL FILTERS
Shunsuke Koshita, Hachinohe Institute of Technology, Japan
FR2.LS-A.6: Low-pass maximally flat IIR digital differentiator design with arbitrary flatness degree
Takashi Yoshida, Tokyo Metropolitan College of Industrial Technology, Japan