Feature extraction and pattern recognition of gas pipeline flow noise signals in a strong noisy background.
Enbin LiuChang LuZhaorong WenTianshu HaoXudong LuLidong WangPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- feature extraction
- pattern recognition
- noisy environments
- background noise
- low signal to noise ratio
- noisy data
- signal processing
- noise free
- image processing
- noise reduction
- speech recognition
- pattern classification
- high noise
- continuous wavelet transform
- measurement noise
- image analysis
- biomedical signals
- support vector machine svm
- preprocessing
- face recognition
- genetic algorithm
- noise level
- hilbert huang transform
- feature vectors
- feature space
- slowly varying
- low snr
- signal analysis
- white noise
- neural network
- signal to noise ratio
- dimensionality reduction
- principal component analysis
- pattern representation
- signal detection
- flow rate
- flow field
- random noise
- short time fourier transform
- feature set
- weak signal
- weak signal detection
- machine learning
- human recognition
- palmprint
- frequency domain
- wavelet transform
- feature selection
- gaussian noise
- speech signal
- received signal
- noisy images
- texture analysis
- image classification
- direct sequence spread spectrum