Nonnegative Matrix Factorization Based Adaptive Noise Sensing over Wireless Sensor Networks
An adaptive noise sensing method is proposed to improve the speech sensing performance of speech-based applications operated over wireless sensor networks. The proposed method is based on nonnegative matrix factorization (NMF), which consists of adaptive noise sensing and noise reduction. In other w...
Saved in:
| Main Authors: | Kwang Myung Jeon, Hong Kook Kim, Sung Joo Lee, Yun Keun Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-04-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/640915 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Efficient Compressed Sensing Reconstruction Algorithm for Nonnegative Vectors in Wireless Data Transmission
by: Yaguang Yang, et al.
Published: (2023-01-01) -
Parallel Nonnegative Matrix Factorization with Manifold Regularization
by: Fudong Liu, et al.
Published: (2018-01-01) -
Collaborative filtering based on nonnegative/binary matrix factorization
by: Yukino Terui, et al.
Published: (2025-07-01) -
Nonnegative Matrix Factorizations Performing Object Detection and Localization
by: G. Casalino, et al.
Published: (2012-01-01) -
Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization
by: Renichiro Haba, et al.
Published: (2025-01-01)