Multimodal multi-objective hierarchical distributed consensus method for multimodal multi-objective economic dispatch of hierarchical distributed power systems
L Yin, Z Cai - Energy, 2024 - Elsevier
As the scale of power systems increases, the multi-layer distributed multi-objective
consensus algorithm (MLDMOCA) can speed up computation and enhance privacy …
consensus algorithm (MLDMOCA) can speed up computation and enhance privacy …
Compressive covariance matrix estimation from a dual-dispersive coded aperture spectral imager
Compressive covariance sampling (CCS) theory aims to recover the covariance matrix (CM)
of a signal, instead of the signal itself, from a reduced set of random linear projections …
of a signal, instead of the signal itself, from a reduced set of random linear projections …
Compressive Covariance Sensing‐Based Power Spectrum Estimation of Real‐Valued Signals Subject to Sub‐Nyquist Sampling
NAS Alwan - Modelling and Simulation in Engineering, 2021 - Wiley Online Library
In this work, an estimate of the power spectrum of a real‐valued wide‐sense stationary
autoregressive signal is computed from sub‐Nyquist or compressed measurements in …
autoregressive signal is computed from sub‐Nyquist or compressed measurements in …
Context-dependent entropy for 3D hyperspectral image compression and reconstruction
S Nithya, S Gupta - International Journal of Information Technology, 2024 - Springer
Rapid advancements in hyperspectral (HS) methodologies for image analysis have resulted
in specialized HS tasks, well-known for their extensive spatial-spectral data. Spectral bands …
in specialized HS tasks, well-known for their extensive spatial-spectral data. Spectral bands …
Single snapshot system for compressive covariance matrix estimation for hyperspectral imaging via lenslet array
G Blanco, J Perez, J Monsalve… - … XXIII Symposium on …, 2021 - ieeexplore.ieee.org
Compressive Covariance Sampling (CCS) is a strategy used to recover the covariance
matrix (CM) directly from compressive measurements. Several works have proven the …
matrix (CM) directly from compressive measurements. Several works have proven the …
Cocosvi: Single Snapshot Compressive Spectral Video Via Covariance Matrix Estimation
This paper proposes a snapshot spectral video imager based on the compressive
covariance sampling (CCS) theory, named compressive covariance spectral video (CoCoS …
covariance sampling (CCS) theory, named compressive covariance spectral video (CoCoS …
Hierarchical Compressed Subspace Clustering Of Infrared Single-Pixel Measurements
Compressive spectral imaging (CSI) acquires coded projections of a spectral scene
reducing storage costs. The single-pixel camera architecture (SPC) excels among several …
reducing storage costs. The single-pixel camera architecture (SPC) excels among several …