Skip to main navigation
Skip to search
Skip to main content
National Cheng Kung University Home
English
中文
Search content at National Cheng Kung University
Home
Profiles
Research units
Research output
Projects
Student theses
Equipment
Prizes
Activities
Adaptive WFM filter with noise detection capability
Chang Shing Lee
,
Yau-Hwang Kuo
Department of Computer Science and Information Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Adaptive WFM filter with noise detection capability'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Detection Efficiency
100%
Adaptive Weight
100%
Mean Filter
100%
Fuzzy Means
100%
Noise Detection
100%
Evaluation Criteria
16%
Detection Algorithm
16%
Hardware Implementation
16%
Output Signal
16%
Mean Square Error
16%
Subjective Evaluation
16%
Impulse Noise
16%
Fuzzy Filter
16%
Median Filter
16%
Dedicated Hardware
16%
Mean Absolute Error
16%
Error Evaluation
16%
Conventional Filters
16%
Engineering
Detection Algorithm
100%
Output Signal
100%
Mean Square Error
100%
Impulse Noise
100%
Subjective Evaluation
100%
Median Filter
100%
Mean Absolute Error
100%