Quantum Parametric Mode Sorting: Beating the Time-Frequency Filtering
Abstract Selective detection of signal over noise is essential to measurement and signal processing. Time-frequency filtering has been the standard approach for the optimal detection of non-stationary signals. However, there is a fundamental tradeoff between the signal detection efficiency and the a...
Guardado en:
Autores principales: | Amin Shahverdi, Yong Meng Sua, Lubna Tumeh, Yu-Ping Huang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a0da54de9dea484e8c16ed0674d9761b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Resonance frequency is not always stable over time and could be related to the inter-beat interval
por: Lluis Capdevila, et al.
Publicado: (2021) -
An anisotropic formulation of the parametric Kalman filter assimilation
por: Olivier Pannekoucke
Publicado: (2021) -
Between Beats: Linking Player Engagement to Advertisement Frequency and Intrusiveness
por: Markus Hirsimaki, et al.
Publicado: (2021) -
Noise-tolerant single photon sensitive three-dimensional imager
por: Patrick Rehain, et al.
Publicado: (2020) -
Beat perception in polyrhythms: Time is structured in binary units.
por: Cecilie Møller, et al.
Publicado: (2021)