Analysis on Digital Signal Processing and Algorithm Based on Coherent Light

2014 ◽  
Vol 989-994 ◽  
pp. 2024-2028
Author(s):  
Ye Xing ◽  
Lu Zhang ◽  
Zhe Yuan Cheng ◽  
Kai Gu
Keyword(s):  
Signal Processing ◽  
Comparative Analysis ◽  
Digital Signal Processing ◽  
Phase Noise ◽  
Carrier Phase ◽  
Digital Signal ◽  
Minimal Cost ◽  
Signal Distortion ◽  
Coherent Light ◽  
Fiber Dispersion

In order to use minimal cost to compensate signal distortion caused by fiber dispersion and carrier phase noise etc, this paper mainly puts forward 2 different self-adaption compensation algorithms in algorithm part of digital signal processing, through test and comparative analysis, it indicates that the performance of the best matching and the nature expression based on GCT is the best.

An Accelerator for Real-Time Digital Signal Processing with Microprocessors

1987 ◽  
Vol 24 (1) ◽  
pp. 65-72
Author(s):  
C. Ward
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Real Time ◽  
Digital Signal ◽  
Fir Filters ◽  
Minimal Cost ◽  
Hands On

An accelerator consisting of a fast digital multiplier and A/D and D/A converters is designed for the BBC microcomputer. The circuit enables ‘hands-on’ experience of digital signal processing to be provided at minimal cost. Examples of implementations of FIR filters and an autocorrelation algorithm are provided.

scholarly journals Digital signal processing approaches for semiconductor phase noise tolerant coherent transmission systems

2015 ◽  
Author(s):  
Miguel Iglesias Olmedo ◽  
Xiaodan Pang ◽  
Richard Schatz ◽  
Darko Zibar ◽  
Idelfonso Tafur Monroy ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Phase Noise ◽  
Digital Signal ◽  
Transmission Systems ◽  
Noise Tolerant ◽  
Coherent Transmission

scholarly journals Capturing emotions in voice: A comparative analysis of methodologies in psychology and digital signal processing

2019 ◽  
Vol 22 (1) ◽  
pp. 15-34
Author(s):  
Daniela Hekiert ◽  
Magdalena Igras-Cybulska
Keyword(s):  
Signal Processing ◽  
Comparative Analysis ◽  
Digital Signal Processing ◽  
Vocal Communication ◽  
Digital Signal ◽  
Database Design ◽  
Vocal Affect ◽  
Design Parameterization ◽  
Insight Into

People use their voices to communicate not only verbally but also emotionally. This article presents theories and methodologies that concern emotional vocalizations at the intersection of psychology and digital signal processing. Specifically, it demonstrates the encoding (production) and decoding (recognition) of emotional sounds, including the review and comparison of strategies in database design, parameterization, and classification. Whereas psychology predominantly focuses on the subjective recognition of emotional vocalizations, digital signal processing relies on automated and thus more objective vocal affect measures. The article aims to compare these two approaches and suggest methods of combining them to achieve a more complex insight into the vocal communication of emotions.

A Digital Signal Processing Instrument for Real-Time Phase Noise Measurement

2008 ◽  
Vol 57 (10) ◽  
pp. 2098-2107 ◽  
Author(s):  
L. Angrisani ◽  
R. Schiano Lo Moriello ◽  
M. D'Arco ◽  
C.A. Greenhall
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Phase Noise ◽  
Real Time ◽  
Digital Signal ◽  
Noise Measurement
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