Add to ORKGThis paper presents the results of a study on use rapid transform to analysis of acoustic echo signals in an acoustic object recognition system. The echo signals are analysed in the time invariant rapid transform domain and compared with reference patterns stored in memory. The application of fast shift invariant rapid transform in signal classification increases the capability of the system to distinguish and identify different objects
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
This paper explores the possibility of using scarcely used time-domain features for the task of guns...
Possibilities of application of the acoustic method for the on load tab changers diagnosis has been ...
Abstract: In this paper, a method is introduced for elastic object detection, classification and ech...
This paper describes a novel method of object recognition based upon the piece-wise linear approxima...
Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other i...
Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other i...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
In this thesis a model system is developed which re- cognises targets, in particular aircraft, from...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
In solving acoustic-recognition problems, a special role is played by echo-signal time distortions o...
This paper discusses the possible use of Hilbert-Huang transform to analyze the data obtained from p...
Echo labeling, the challenging task of assigning acoustic reflections to image sources, is equivalen...
Echo detection on time-varying signals is a typical problem of signal processing. A not so typical a...
The impact-echo method is a young diagnose for controlling the quality of a construction. In this me...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
This paper explores the possibility of using scarcely used time-domain features for the task of guns...
Possibilities of application of the acoustic method for the on load tab changers diagnosis has been ...
Abstract: In this paper, a method is introduced for elastic object detection, classification and ech...
This paper describes a novel method of object recognition based upon the piece-wise linear approxima...
Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other i...
Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other i...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
In this thesis a model system is developed which re- cognises targets, in particular aircraft, from...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
In solving acoustic-recognition problems, a special role is played by echo-signal time distortions o...
This paper discusses the possible use of Hilbert-Huang transform to analyze the data obtained from p...
Echo labeling, the challenging task of assigning acoustic reflections to image sources, is equivalen...
Echo detection on time-varying signals is a typical problem of signal processing. A not so typical a...
The impact-echo method is a young diagnose for controlling the quality of a construction. In this me...
Automatic speech recognition is the process of turning a speech signal into a meaningful message (it...
This paper explores the possibility of using scarcely used time-domain features for the task of guns...
Possibilities of application of the acoustic method for the on load tab changers diagnosis has been ...