Extension of the CNN-Based Demodulation Method for Image Sensor-Based Visible Light Communication Considering Real Image Parameters
This paper proposes a convolutional neural network (CNN)-based demodulation method to enhance the performance of visible light communication (VLC) between digital signage and mobile terminals such as smartphones. Unlike conventional methods, the proposed approach employs a sliding window mechanism t...
Saved in:
| Main Authors: | Yuki Iyoda, Kentaro Kobayashi, Chedlia Ben Naila, Hiraku Okada |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11005729/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Preventing Degradation of the Quality of Visual Information in Digital Signage and Image-Sensor-Based Visible Light Communication Systems
by: Hiraku Okada, et al.
Published: (2018-01-01) -
Adaptive Thresholding Scheme for Demodulation of Rolling-Shutter Images Obtained in CMOS Image Sensor Based Visible Light Communications
by: Chi-Wai Chow, et al.
Published: (2018-01-01) -
Experimental Demonstration of Superimposed Data Transmission in Rolling Shutter Based Visible Light Communication
by: Masayuki Kinoshita, et al.
Published: (2025-01-01) -
A Temperature Sensing Demodulation System based on Weak Reflection Fiber Bragg Grating
by: CHENG Jiahui, et al.
Published: (2025-06-01) -
Indoor Localization Using <italic>K</italic>-Pairwise Light Emitting Diode Image-Sensor-Based Visible Light Positioning
by: Jenn-Kaie Lain, et al.
Published: (2018-01-01)