Two-dimensional signal processing using a morphological filter for holographic memory

2012 ◽  
Author(s):  
Manabu Yamamoto ◽  
Yusuke Shigaki ◽  
Yo Kondo
Keyword(s):  
Signal Processing ◽  
Morphological Filter ◽  
Two Dimensional ◽  
Holographic Memory

Use of electron trapping materials in optical signal processing 2: two-dimensional associative memory

1991 ◽  
Vol 30 (20) ◽  
pp. 2879 ◽  
Author(s):  
Suganda Jutamulia ◽  
George M. Storti ◽  
Joseph Lindmayer ◽  
William Seiderman
Keyword(s):  
Signal Processing ◽  
Associative Memory ◽  
Optical Signal Processing ◽  
Optical Signal ◽  
Electron Trapping ◽  
Two Dimensional

scholarly journals Multipurpose self-configuration of programmable photonic circuits

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel Pérez-López ◽  
Aitor López ◽  
Prometheus DasMahapatra ◽  
José Capmany
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
Two Dimensional ◽  
Photonic Circuits ◽  
Computational Optimization ◽  
Digital Electronics ◽  
Control Signals ◽  
Integration Density ◽  
Functional Complexity ◽  
Multiple Configuration

AbstractProgrammable integrated photonic circuits have been called upon to lead a new revolution in information systems by teaming up with high speed digital electronics and in this way, adding unique complementary features supported by their ability to provide bandwidth-unconstrained analog signal processing. Relying on a common hardware implemented by two-dimensional integrated photonic waveguide meshes, they can provide multiple functionalities by suitable programming of their control signals. Scalability, which is essential for increasing functional complexity and integration density, is currently limited by the need to precisely control and configure several hundreds of variables and simultaneously manage multiple configuration actions. Here we propose and experimentally demonstrate two different approaches towards management automation in programmable integrated photonic circuits. These enable the simultaneous handling of circuit self-characterization, auto-routing, self-configuration and optimization. By combining computational optimization and photonics, this work takes an important step towards the realization of high-density and complex integrated programmable photonics.

Structures and Algorithms for Two-Dimensional Adaptive Signal Processing

1996 ◽  
pp. 117-182 ◽  
Author(s):  
W. Kenneth Jenkins ◽  
Andrew W. Hull ◽  
Jeffrey C. Strait ◽  
Bernard A. Schnaufer ◽  
Xiaohui Li
Keyword(s):  
Signal Processing ◽  
Adaptive Signal Processing ◽  
Two Dimensional ◽  
Adaptive Signal
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