The W transform is an approach to spectrum analysis in real domain. There are fourcommonly used types of the discrete W transform (DWT), all of which may be appliedto digital signal processing. In this paper, new fast...The W transform is an approach to spectrum analysis in real domain. There are fourcommonly used types of the discrete W transform (DWT), all of which may be appliedto digital signal processing. In this paper, new fast algorithms for computing the fourtypes of the DWT are introduced. These algorithms are simple in structure and moreefficient than any other algorithms for the DWT. FORTRAN subroutines to realize thesealgorithms have been provided.展开更多
This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation...This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation and threshold detection with TMS320VC5509 DSP system. The DSP can greatly increase the speed of QRS-wave detection, and the results can be practical used for multi-parameter wearable device detection of abnormal ECG.展开更多
基金Project supported by the Ministry of Mechanical Industry of China
文摘The W transform is an approach to spectrum analysis in real domain. There are fourcommonly used types of the discrete W transform (DWT), all of which may be appliedto digital signal processing. In this paper, new fast algorithms for computing the fourtypes of the DWT are introduced. These algorithms are simple in structure and moreefficient than any other algorithms for the DWT. FORTRAN subroutines to realize thesealgorithms have been provided.
文摘This paper presents a design of new type of multi-parameter wearable medical devices signal processing platform. The signal processing algorithm has a QRS-wave detection algorithm based on LADT, wavelet transformation and threshold detection with TMS320VC5509 DSP system. The DSP can greatly increase the speed of QRS-wave detection, and the results can be practical used for multi-parameter wearable device detection of abnormal ECG.