scholarly journals Corrigendum to ‘Regularized derivative interpolation for two dimensional band-limited functions’ [Signal Processing 184 (2021) 107943]

2022 ◽  
Vol 190 ◽  
pp. 108315
Author(s):  
Weidong Chen
Keyword(s):  
Signal Processing ◽  
Two Dimensional ◽  
Band Limited

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.

Two-Dimensional Magneto-Optic Spatial Light Modulator For Signal Processing

1983 ◽  
Vol 22 (4) ◽  
Author(s):  
William E. Ross ◽  
Demetri Psaltis ◽  
Robert H. Anderson
Keyword(s):  
Signal Processing ◽  
Spatial Light Modulator ◽  
Two Dimensional ◽  
Light Modulator ◽  
Magneto Optic

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
Sign in / Sign up

Export Citation Format

Share Document