scholarly journals Accurate and fast two-step phase shifting algorithm based on principle component analysis and Lissajous ellipse fitting with random phase shift and no pre-filtering

2019 ◽  
Vol 27 (14) ◽  
pp. 20047 ◽  
Author(s):  
Yu Zhang ◽  
Xiaobo Tian ◽  
Rongguang Liang
Keyword(s):  
Phase Shift ◽  
Principle Component Analysis ◽  
Random Phase ◽  
Component Analysis ◽  
Phase Shifting ◽  
Ellipse Fitting ◽  
Principle Component

Phase-shifting Calibrating Method Based on Principle Component Analysis in Interferometer

2016 ◽  
Vol 45 (1) ◽  
pp. 112001
Author(s):  
徐建程 XU Jian-cheng ◽  
候园园 HOU Yuan-yuan ◽  
陈曌 CHEN Zhao
Keyword(s):  
Principle Component Analysis ◽  
Component Analysis ◽  
Phase Shifting ◽  
Principle Component

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

Four challenges for cognitive neuroscience and the cortico-hippocampal division of memory

2003 ◽  
Vol 26 (6) ◽  
pp. 681-682
Author(s):  
Harry Howard
Keyword(s):  
Independent Component Analysis ◽  
Recent Work ◽  
Cognitive Neuroscience ◽  
Principle Component Analysis ◽  
Pattern Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Principle Component ◽  
Complementary Methods ◽  
Current State

Jackendoff's criticisms of the current state of theorization in cognitive neuroscience are defused by recent work on the computational complementarity of the hippocampus and neocortex. Such considerations lead to a grounding of Jackendoff's processing model in the complementary methods of pattern analysis effected by independent component analysis (ICA) and principle component analysis (PCA).

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