The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, telecommunications and remote sensing. When light passes through a turbid or ...

Quantum properties of light are extremely delicate. When researchers attempt to measure them, even small losses on the way to ...

The PyGSP is a Python package to ease Signal Processing on Graphs. The documentation is available on Read the Docs and development takes place on GitHub. A (mostly unmaintained) Matlab version exists.

Elucidating how internal signals from the body influence the processing of external information from the environment is key to our understanding of perception and cognition in health and pathological ...

Abstract: In this paper, we design a stochastic model predictive control (MPC)-based traffic signal control method for urban networks when the uncertainties of the traffic model parameters (including ...

Abstract: Noise is the primary factor limiting weak signal detection system. For weak signal detection, if the noise can be effectively overcome, the sensitivity of signal detection can be improved, ...

This textbook provides an introductory course in numerical methods, MATLAB, and technical computing. It emphasis on explaining the use of mathematical software. The book has used computer graphics, ...

Direct electrical stimulation and intracranial recordings from the human brain during cognitive experiments revealed unique information about the temporal order of signal processing within and across ...

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...

Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.