Visual information is the primary means by which human beings get information from the nature. It is a kind of important information with subjectivity and thus difficult for computers to recognize process and implement. Image feature extraction, as an important method for computers to recognize and classify images, is the foundation of automatic image perceiving,
(Read More…)
The brain-computer Interface (BCI) build up a new special communication channel between the brain and the outside world which does not depend on the peripheral nervous system and muscle tissue. It can control the external environment and device by EEG without any direct verbal or physical action. Current research of brain-computer interface is still in
(Read More…)
Blind Signal Separation is the separation of a set of signals from a set of mixed signals, without any information of transmission channel, only relying on the assumption of the independence and little prior knowledge. Currently, most of the BSS algorithms assume the number of sources is smaller than the number of observers. However, in
(Read More…)
With the development of manned spaceflight, deep-sea exploration, aircraft, etc., the reliability and safety of equipments are more and more important in large equipments with non-open space, such as spacecraft, submarine, aircraft and so on. For such systems, one of main reasons that affect the air environment of non-open space cockpit is the pollution caused
(Read More…)
Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
(Read More…)
Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
(Read More…)
Blind source separation is a process of recovering each individual original signal from a number of mixed-signals. Blind speech signal processing is the mind problem of blind source separation. In this paper, three kinds of blind speech signal processing models including normal, underdetermined and over determined are studied as follow:First, a blind separation algorithm PCA-ICA
(Read More…)
Fetal Electrocardiogram (FECG) contains much physiological information. It can intuitively reflect the growth and health condition of perinatal fetus, so that the fetus’s diseases could be discovered and the treatment could be made in time. At present, there are two main methods of FECG detection, one is Fetal Scalp Electrode and the other is Maternal
(Read More…)
A face recognition method based on the column-block and kernel independent components analysis is proposed combining with the kernel independent component analysis and the thought of image divided by column in this paper. First of all, the face image matrix are divided into blocks by column according to this method. Then kernel independent components analysis
(Read More…)
Blind Source Separation (BSS) is to recover original signal from the available observations without knowledge of source and the mixing channels. Because of extensive application in the domains of speech recognition, image processing、medical signal analysis and processing (EEG、MEG、ECG)、data mining、signal processing、wireless communication and optical communications, BSS becomes one of the hottest spots in signal processing field
(Read More…)
