Spectrally Efficient Quadrature Duobinary Coherent Systems With Symbol-Rate Digital Signal Processing

2011 ◽  
Vol 29 (8) ◽  
pp. 1098-1104 ◽  
Author(s):  
Jianqiang Li ◽  
Zhenning Tao ◽  
Huijian Zhang ◽  
Weizhen Yan ◽  
Takeshi Hoshida ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Coherent Systems ◽  
Symbol Rate ◽  
Spectrally Efficient

Block-Wise Digital Signal Processing for PolMux QAM/PSK Optical Coherent Systems

2011 ◽  
Vol 29 (20) ◽  
pp. 3070-3082 ◽  
Author(s):  
M. Selmi ◽  
C. Gosset ◽  
M. Noelle ◽  
P. Ciblat ◽  
Y. Jaouen
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Coherent Systems

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.

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