Results 1 to 10 of about 1,177,805 (209)
Medical image encryption algorithm based on a new five-dimensional multi-band multi-wing chaotic system and QR decomposition [PDF]
In this study, we propose a medical image encryption algorithm based on a new five-dimensional (5D) multi-band multi-wing chaotic system and QR decomposition.
Zeben Zhuang, Zhiben Zhuang, Tao Wang
doaj +3 more sources
Through-Wall Image Enhancement Using Fuzzy and QR Decomposition [PDF]
QR decomposition and fuzzy logic based scheme is proposed for through-wall image enhancement. QR decomposition is less complex compared to singular value decomposition.
Muhammad Mohsin Riaz, Abdul Ghafoor
doaj +2 more sources
Efficient enhancement of low-rank tensor completion via thin QR decomposition [PDF]
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues.
Yan Wu, Yunzhi Jin
doaj +2 more sources
Reconstruction of Complex Network based on the Noise via QR Decomposition and Compressed Sensing. [PDF]
It is generally known that the states of network nodes are stable and have strong correlations in a linear network system. We find that without the control input, the method of compressed sensing can not succeed in reconstructing complex networks in ...
Li L +5 more
europepmc +2 more sources
Fast time evolution of matrix product states using the QR decomposition [PDF]
We propose and benchmark a modified time evolution block decimation (TEBD) algorithm that uses a truncation scheme based on the QR decomposition instead of the singular value decomposition (SVD). The modification reduces the scaling with the dimension of
Jakob Unfried, J. Hauschild, F. Pollmann
semanticscholar +1 more source
The problem of QR decomposition is considered one of the fundamental problems commonly encountered in both scientific research and engineering applications.
Jianrong Chen +2 more
doaj +1 more source
Drought prediction based on an improved VMD-OS-QR-ELM model.
To overcome the low accuracy, poor reliability, and delay in the current drought prediction models, we propose a new extreme learning machine (ELM) based on an improved variational mode decomposition (VMD).
Yang Liu +3 more
doaj +1 more source
CP decomposition for tensors via alternating least squares with QR decomposition [PDF]
The CP tensor decomposition is used in applications such as machine learning and signal processing to discover latent low‐rank structure in multidimensional data.
R. Minster +3 more
semanticscholar +1 more source
Runoff Prediction and Analysis Based on Improved CEEMDAN-OS-QR-ELM
To solve the problems of low prediction accuracy, poor stability, and low calculation efficiency in runoff forecasting, this study develops an extreme learning machine (ELM) model based on improved complete ensemble empirical mode decomposition adaptive ...
Yang Liu +4 more
doaj +1 more source
Low‐complexity sphere decoding for MIMO‐SCMA systems
Multiple‐input multiple‐output‐sparse code multiple access, a non‐trivial integration of sparse code multiple access and multiple‐input multiple‐output techniques, is able to achieve high spectrum efficiency and massive user connections.
Zhipeng Pan +4 more
doaj +1 more source

