Compressed Sensing-based Smoke Simulation

被引：0

作者：

Zhang, Ruixue ^{[1
]}

Yang, Xubo ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Software, Shanghai 200030, Peoples R China

来源：

2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年

关键词：

compressed sensing; smoke simulation; fast; reduce sampling data;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As we known, high-dimension smoke simulation is time consuming because of large amount of data sampling and computing. We present a method that introduces compressed sensing to smoke simulation. This method could significantly reduce the sampling data and the simulation time, while giving a convincing effect. We use the wavelet basis as compressing basis, and OMP as the reconstruction method, and reconstruct high-dimension smoke from low-dimension data frame by frame. Our method is fast and easy to implement, and the data sampling could not obey the Nyquist sampling theorem which could reduce the amount of data.

引用

页码：241 / 244

页数：4

共 50 条

[41] Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems
Islam, Md. Tahidul
Koo, Insoo
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2013, 7 (09): : 2213 - 2231
[42] Adaptive Transmit Beam Pattern Design for Compressed Sensing-based Direction of Arrival Estimation
Bahceci, M. Umut
Gungor, Alper
Cetintepe, Cagn
2022 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS & TECHNOLOGY (PAST), 2022,
[43] An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording
Liu, Xilin
Richardson, Andrew G.
Van der Spiegel, Jan
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2021, 11 (02) : 405 - 414
[44] Compressed Sensing-Based Energy-Efficient Routing Algorithm in Underwater Sensor Networks
Zhao, Qiuming
Yang, Hongjuan
Li, Bo
Zhang, Chi
COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING, 2020, 516 : 842 - 846
[45] Optimal Pilot Pattern Design for Compressed Sensing-Based Sparse Channel Estimation in OFDM Systems
He, Xueyun
Song, Rongfang
Zhu, Wei-Ping
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2012, 31 (04) : 1379 - 1395
[46] Deep Compressed Sensing-Based Cascaded Channel Estimation for RIS-Aided Communication Systems
Xie, Wenwu
Xiao, Jian
Zhu, Peng
Yu, Chao
Yang, Liang
IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (04) : 846 - 850
[47] Compressed sensing-based electromechanical admittance data loss recovery for concrete structural health monitoring
Li, Hedong
Ai, Demi
Zhu, Hongping
Luo, Hui
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (03): : 1247 - 1273
[48] Compressed Sensing-based FH-BPSK Signals' Digital Domain Compressive Sampling and Reconstruction
Zhang, Yidong
Yang, Wenge
Cheng, Yanhe
Mao, Xinfeng
Sheng, Shiqiang
PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 153 - 158
[49] Subtyping glioblastoma by combining miRNA and mRNA expression data using compressed sensing-based approach
Tang, Wenlong
Duan, Junbo
Zhang, Ji-Gang
Wang, Yu-Ping
EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY, 2013, (01)
[50] Compressed sensing-based method for electrocardiogram monitoring on wireless body sensor using binary matrix
State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China
不详
Int. J. Wireless Mobile Comput., 2 (114-121): : 114 - 121

← 1 2 3 4 5 →