scholarly journals Cooperative Diversity Technique Using Spatial Phase Coding Based on OFDMA System

2014 ◽  
Vol E97.D (7) ◽  
pp. 1897-1900 ◽  
Author(s):  
Ki-Ro KIM ◽  
Seung-Jun YU ◽  
Hyoung-Kyu SONG
Keyword(s):  
Cooperative Diversity ◽  
Ofdma System ◽  
Phase Coding ◽  
Spatial Phase ◽  
Diversity Technique

Cooperative diversity scheme using SPC in MIMO‐OFDMA system

2015 ◽  
Vol 51 (4) ◽  
pp. 364-366 ◽  
Author(s):  
Dong‐Hyun Ha ◽  
Hyoung‐Kyu Song
Keyword(s):  
Cooperative Diversity ◽  
Ofdma System ◽  
Diversity Scheme

Efficient Feedback Design for Spatial Phase Coding in MISO-OFDM Systems

2011 ◽  
Vol E94-B (7) ◽  
pp. 2149-2152 ◽  
Author(s):  
Jeong-Chul SHIN ◽  
Jee-Hoon KIM ◽  
Hyoung-Kyu SONG
Keyword(s):  
Ofdm Systems ◽  
Phase Coding ◽  
Spatial Phase ◽  
Feedback Design

scholarly journals Neural Coding of Spatial Phase in V1 of the Macaque Monkey

2003 ◽  
Vol 89 (6) ◽  
pp. 3304-3327 ◽  
Author(s):  
Dmitriy Aronov ◽  
Daniel S. Reich ◽  
Ferenc Mechler ◽  
Jonathan D. Victor
Keyword(s):  
Metric Space ◽  
Neural Coding ◽  
Macaque Monkey ◽  
Temporal Coding ◽  
Phase Coding ◽  
Spatial Phase ◽  
Novel Approach ◽  
Phase Cycle ◽  
The Times ◽  
Temporal Profiles

We examine the responses of single neurons and pairs of neurons, simultaneously recorded with a single tetrode in the primary visual cortex of the anesthetized macaque monkey, to transient presentations of stationary gratings of varying spatial phase. Such simultaneously recorded neurons tended to have similar tuning to the phase of the grating. To determine the response features that reliably discriminate these stimuli, we use the metric-space approach extended to pairs of neurons. We find that paying attention to the times of individual spikes, at a resolution of ∼30 ms, and keeping track of which neuron fires which spike rather than just the summed local activity contribute substantially to phase coding. The contribution is both quantitative (increasing the fidelity of phase coding) and qualitative (enabling a 2-dimensional “response space” that corresponds to the spatial phase cycle). We use a novel approach, the extraction of “temporal profiles” from the metric space analysis, to interpret and compare temporal coding across neurons. Temporal profiles were remarkably consistent across a large subset of neurons. This consistency indicates that simple mechanisms (e.g., comparing the size of the transient and sustained components of the response) allow the temporal contribution to phase coding to be decoded.

Spatial phase coding for incoherent optical processors

1994 ◽  
Vol 26 (4) ◽  
pp. 313-317
Author(s):  
D.V. Tigin ◽  
A.A. Lavrentev ◽  
C.K. Gary
Keyword(s):  
Phase Coding ◽  
Spatial Phase
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