Abstract- Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of...
Abstract—In this paper, wavelet packet algorithm was used in the de-noising of underwater acoustic s...
Underwater target recognition is an important supporting technology for the development of marine re...
This paper puts forward an image de-noising method based on 2D wavelet transform with the applicatio...
As one of the main signal sources of underwater acoustic target recognition, the target noise signal...
AbstractRecognizing the underwater targets by the radiated noise information is one of the most sign...
When studying underwater acoustic exploration, tracking and positioning, the target signals collecte...
1272-1278In order to realize feature extraction and classification for underwater target signals, in...
To solve high-dimensional and small-sample-size classification problem for underwater target recogni...
This paper focuses on the automatic target recognition (ATR) method based on ship-radiated noise and...
The classification and recognition technology of underwater acoustic signal were always an important...
The underwater target radiated noises usually have characteristics of low signal to noise ratio, com...
The purpose of this paper is to apply the acoustic features, Mel Frequency Cepstral Coefficient (MFC...
The current identification algorithm using sonar signal parameters of bandwidth, frequency, duration...
Abstract The analysis of underwater discharge signals is of great significance for its application. ...
Accurate underwater target detection and recognition in complex marine environments has always been ...
Abstract—In this paper, wavelet packet algorithm was used in the de-noising of underwater acoustic s...
Underwater target recognition is an important supporting technology for the development of marine re...
This paper puts forward an image de-noising method based on 2D wavelet transform with the applicatio...
As one of the main signal sources of underwater acoustic target recognition, the target noise signal...
AbstractRecognizing the underwater targets by the radiated noise information is one of the most sign...
When studying underwater acoustic exploration, tracking and positioning, the target signals collecte...
1272-1278In order to realize feature extraction and classification for underwater target signals, in...
To solve high-dimensional and small-sample-size classification problem for underwater target recogni...
This paper focuses on the automatic target recognition (ATR) method based on ship-radiated noise and...
The classification and recognition technology of underwater acoustic signal were always an important...
The underwater target radiated noises usually have characteristics of low signal to noise ratio, com...
The purpose of this paper is to apply the acoustic features, Mel Frequency Cepstral Coefficient (MFC...
The current identification algorithm using sonar signal parameters of bandwidth, frequency, duration...
Abstract The analysis of underwater discharge signals is of great significance for its application. ...
Accurate underwater target detection and recognition in complex marine environments has always been ...
Abstract—In this paper, wavelet packet algorithm was used in the de-noising of underwater acoustic s...
Underwater target recognition is an important supporting technology for the development of marine re...
This paper puts forward an image de-noising method based on 2D wavelet transform with the applicatio...