Zobrazeno 1 - 10
of 16 028
pro vyhledávání: '"Compressive Sensing."'
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 285-291 (2024)
Massive MIMO (Multiple-input-multiple output), crucial for 5 G and Beyond 5 G (B5G) networks, faces challenges with terahertz frequencies in B5G as the communication shifts from far-field to near-field. This shift disrupts traditional Massive MIMO ch
Externí odkaz:
https://doaj.org/article/d0435a51643947d694cf8c3ebd9772d9
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-22 (2024)
Abstract Compressive sensing (CS) has been widely used to sense the wideband spectrum with fewer measurements by taking advantage of radio spectrum underutilization. As new smart devices, such as IoT devices, smart home devices, and wearables, use ba
Externí odkaz:
https://doaj.org/article/3784f2ee82084001ab33399f9d6cf5f0
Publikováno v:
Nanophotonics, Vol 13, Iss 22, Pp 4159-4168 (2024)
Spectroscopy is a technique that analyzes the interaction between matter and light as a function of wavelength. It is the most convenient method for obtaining qualitative and quantitative information about an unknown sample with reasonable accuracy.
Externí odkaz:
https://doaj.org/article/822880418c604b8fb0a39be61ca7e79c
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract The estimation sound fields over space is of interest in sound field control and analysis, spatial audio, room acoustics and virtual reality. Sound fields can be estimated from a number of measurements distributed over space yet this remains
Externí odkaz:
https://doaj.org/article/2bd650f092a04a4eba5a1903371b041e
Autor:
Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar
Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 6, Iss 1 (2024)
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performan
Externí odkaz:
https://doaj.org/article/a6e80dce8cbb45f4bc85af1c23cbe339
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
The COVID-19 pandemic precipitated an abrupt transition to online learning, impacting students with disabilities uniquely. This study examines the experiences of 62 such students in the new educational paradigm, employing a mixed-methods approach. Qu
Externí odkaz:
https://doaj.org/article/153493c1819343e68423a1b1f5c61b00
Autor:
Jiali Yao, Zihan Guo, Dalong Qi, Shiyu Xu, Wenzhang Lin, Long Cheng, Chengzhi Jin, Yu He, Ning Xu, Zhen Pan, Jiayi Mao, Yunhua Yao, Lianzhong Deng, Yuecheng Shen, Heng Zhao, Zhenrong Sun, Shian Zhang
Publikováno v:
Advanced Science, Vol 11, Iss 41, Pp n/a-n/a (2024)
Abstract Compressed ultrafast photography (CUP) can capture irreversible or difficult‐to‐repeat dynamic scenes at the imaging speed of more than one billion frames per second, which is obtained by compressive sensing‐based image reconstruction
Externí odkaz:
https://doaj.org/article/d6a7a9240e4d4fc7860848f90a591788
Publikováno v:
In Digital Signal Processing January 2025 156 Part B
Publikováno v:
PeerJ Computer Science, Vol 10, p e2410 (2024)
Plant hyperspectral images (HSIs) contain valuable information for agricultural disaster prediction, biomass estimation, and other applications. However, they also include a lot of irrelevant background information, which wastes storage resources. In
Externí odkaz:
https://doaj.org/article/ce0ff64d3a3643a4a66b20290fb1e9c7
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
The presented research introduces a new approach to simultaneously compressing and encrypting images using chaotic compressive sensing. This technique involves transforming the image into sparser data using the discrete cosine transform basis, which
Externí odkaz:
https://doaj.org/article/830f0e4823d045ce952b76628634c5ed