Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor
The use of sensor applications has been steadily increasing, leading to an urgent need for efficient data compression techniques to facilitate the storage, transmission, and processing of digital signals generated by sensors. Unlike other sequential data such as text sequences, sensor signals have m...
Enregistré dans:
Auteurs principaux: | Qianhao Chen, Wenqi Wu, Wei Luo |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ccf26923a48c4f6abf19fbd54252cb62 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Predicting the Lossless Compression Ratio of Remote Sensing Images With Configurational Entropy
par: Xinghua Cheng, et autres
Publié: (2021) -
LRW-CRDB: Lossless Robust Watermarking Scheme for Categorical Relational Databases
par: Chia-Chen Lin, et autres
Publié: (2021) -
ANFIC: Image Compression Using Augmented Normalizing Flows
par: Yung-Han Ho, et autres
Publié: (2021) -
THEORETICAL ANALYSIS OF INFLUENTIAL PARAMETERS TO COMPRESSION AND DECOMPRESSION PROCESS OF COMPRESSED OIL IN HYDRAULIC SYSTEMS OF THE PRESS
par: MILUTIN ŽIVKOVIĆ
Publié: (2016) -
The Relationship between Skinfold and Ultrasound Measures of Subcutaneous Fat in Untrained Healthy Males
par: Helen Ryan-Stewart, et autres
Publié: (2021)