Online Feature Parameter Extraction for Pulsed Magnets

2014 ◽  
Vol 24 (3) ◽  
pp. 1-3 ◽  
Author(s):  
Houxiu Xiao ◽  
Tao Peng ◽  
Zhongyu Zhou ◽  
Liang Li
Keyword(s):  
Parameter Extraction ◽  
Feature Parameter ◽  
Pulsed Magnets

Infrared multi-spectral design based on point target feature parameter extraction

2020 ◽  
Vol 49 (5) ◽  
pp. 20190462 ◽  
Author(s):  
谷牧 Mu Gu ◽  
任栖锋 Qifeng Ren ◽  
廖胜 Sheng Liao ◽  
周金梅 Jinmei Zhou ◽  
赵汝进 Rujin Zhao
Keyword(s):  
Parameter Extraction ◽  
Target Feature ◽  
Point Target ◽  
Feature Parameter ◽  
Spectral Design

Research on the Feature Parameter Extraction of Wheat Seeds’ Bad Point Based on Image Processing

2014 ◽  
Vol 644-650 ◽  
pp. 4140-4143
Author(s):  
Zhe Wen ◽  
Qian Dong ◽  
Jie Zhu ◽  
Ya Bin Fan
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Parameter Extraction ◽  
Extraction Methods ◽  
Automatic Extraction ◽  
Wheat Seed ◽  
Manual Operation ◽  
Feature Parameter ◽  
Wheat Seeds

It is very important that study the feature parameter extraction of bad point of wheat seeds based on image processing for judging the quality of wheat. Using image processing extract and analyze the collected images information, and based on the collected information analyze the bad point information of wheat seed, then extract the feature parameters. Traditional bad point’s feature extraction methods are completed by the manual operation, and the efficient is lower. Currently, by means of image processing technology can extract the bad point’s feature of wheat seed automatically. To this end, the research status of seed feature extraction based on image processing are reviewed and prospected. Experiments show that the method can better complete the bad point’s feature automatic extraction and recognition of wheat seeds.

Research on Feature Parameter Extraction and Health Analysis Method of UHV DC Converter Valve

2021 ◽  
Author(s):  
Zhiguang Lin ◽  
Junda Qin ◽  
Yu Bai ◽  
Lei Shi ◽  
Jianwei Yang ◽  
...  
Keyword(s):  
Parameter Extraction ◽  
Analysis Method ◽  
Feature Parameter

Improved Window Function in the Application of MFCC Feature Parameter Extraction

2014 ◽  
Vol 556-562 ◽  
pp. 3703-3706
Author(s):  
Le Qiang Bai ◽  
Xue Wei Zhang
Keyword(s):  
Recognition Rate ◽  
Parameter Extraction ◽  
Side Lobe ◽  
Window Function ◽  
Main Lobe ◽  
Impact Function ◽  
Extraction Algorithm ◽  
Feature Parameter ◽  
Lobe Width ◽  
Kaiser Window

In view of spectrum leakage and the contradictory problem of spectrum accuracy of main lobe and reducing spectrum leakage, MFCC algorithm based on improved window function is proposed. Improved window function is based on the mathematical analysis of Kaiser window, and under the condition of finite sampling points minuses weighted impact function where is at the frequencies that side lobe peaks of correspond to. The amplitude of improved window compared with Kaiser window is smaller, and main lobe width is the same, solving the conflicting problem of main lobe width and side lobe amplitude and reducing spectrum leakage. The experimental results show that speech recognition rate of MFCC feature parameter extraction algorithm based on improved window function is better than Kaiser window and Hamming window.

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