To achieve high parallel computation of discrete wavelet transform （DWT） in JPEG2000, a high-throughput two-dimensional （2D） 9/7 DWT very large scale integration （VLSI） design is proposed, in which the row proce...To achieve high parallel computation of discrete wavelet transform （DWT） in JPEG2000, a high-throughput two-dimensional （2D） 9/7 DWT very large scale integration （VLSI） design is proposed, in which the row processor is based on flipping structure. Due to the difference of the input data flow, the column processor is obtained by adding the input selector and data buffer to the row processor. Normalization steps in row and column DWT are combined to reduce the number of multipliers, and the rationality is verified. By rearranging the output of four-line row DWT with a multiplexer （MUX）, the amount of data processed by each column processor becomes half, and the four-input/four- output architecture is implemented. For an image with the size of N x N, the computing time of one-level 2D 9/7 DWT is 0.25N2 ＋ 1.5N clock cycles. The critical path delay is one multiplier delay, and only 5N internal memory is required. The results of post-route simulation on FPGA show that clock frequency reaches 136 MHz, and the throughput is 544 Msample/s, which satisfies the requirements of high-speed applications.展开更多
This paper presents a study of measures that enable diagnosis of brain recovery after cardiac arrest by using subband-based Information Quantity(SIQ).By using Discrete Wavelet Transform(DWT)and Shannon Entropy(SE),bra...This paper presents a study of measures that enable diagnosis of brain recovery after cardiac arrest by using subband-based Information Quantity(SIQ).By using Discrete Wavelet Transform(DWT)and Shannon Entropy(SE),brain signals after cardiac arrest are converted into quantitative IQ and this is put into subband-based IQ.By using IQ and SIQ,a comparison and analysis on correlation between measures suggested in this paper and Neural Deficit Score(NDS)is developed.This goes further by collecting the features in each subband and analyzing the changes in brain signals from the biological prospective.Experiment data is collected from 26 rats.Based on correlation between suggested measures and NDS,this study will allow early assessment of brain recovery after cardiac arrest.Furthermore,it is expected that proposed measures could be an assistant index of NDS.展开更多
This paper expounded in detail the principle of energy spectrum analysis based on discrete wavelet transformation and multiresolution analysis. In the aspect of feature extraction method study, with investigating the ...This paper expounded in detail the principle of energy spectrum analysis based on discrete wavelet transformation and multiresolution analysis. In the aspect of feature extraction method study, with investigating the feature of impact factor in vibration signals and considering the non-placidity and non-linear of vibration diagnosis signals, the authors import wavelet analysis and fractal theory as the tools of faulty signal feature description. Experimental results proved the validity of this method. To some extent, this method provides a good approach of resolving the wholesome problem of fault feature symptom description.展开更多
基金The National Science and Technology M ajor Project of the M inistry of Science and Technology of China(No.2014ZX03003007-009)
文摘To achieve high parallel computation of discrete wavelet transform （DWT） in JPEG2000, a high-throughput two-dimensional （2D） 9/7 DWT very large scale integration （VLSI） design is proposed, in which the row processor is based on flipping structure. Due to the difference of the input data flow, the column processor is obtained by adding the input selector and data buffer to the row processor. Normalization steps in row and column DWT are combined to reduce the number of multipliers, and the rationality is verified. By rearranging the output of four-line row DWT with a multiplexer （MUX）, the amount of data processed by each column processor becomes half, and the four-input/four- output architecture is implemented. For an image with the size of N x N, the computing time of one-level 2D 9/7 DWT is 0.25N2 ＋ 1.5N clock cycles. The critical path delay is one multiplier delay, and only 5N internal memory is required. The results of post-route simulation on FPGA show that clock frequency reaches 136 MHz, and the throughput is 544 Msample/s, which satisfies the requirements of high-speed applications.
基金supported by the MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mationTechnology Research Center)support programsupervised by the NIPA(National ITIndustry Promotion Agency)(NIPA-2011-C1090-1121-0010)
文摘This paper presents a study of measures that enable diagnosis of brain recovery after cardiac arrest by using subband-based Information Quantity(SIQ).By using Discrete Wavelet Transform(DWT)and Shannon Entropy(SE),brain signals after cardiac arrest are converted into quantitative IQ and this is put into subband-based IQ.By using IQ and SIQ,a comparison and analysis on correlation between measures suggested in this paper and Neural Deficit Score(NDS)is developed.This goes further by collecting the features in each subband and analyzing the changes in brain signals from the biological prospective.Experiment data is collected from 26 rats.Based on correlation between suggested measures and NDS,this study will allow early assessment of brain recovery after cardiac arrest.Furthermore,it is expected that proposed measures could be an assistant index of NDS.
文摘This paper expounded in detail the principle of energy spectrum analysis based on discrete wavelet transformation and multiresolution analysis. In the aspect of feature extraction method study, with investigating the feature of impact factor in vibration signals and considering the non-placidity and non-linear of vibration diagnosis signals, the authors import wavelet analysis and fractal theory as the tools of faulty signal feature description. Experimental results proved the validity of this method. To some extent, this method provides a good approach of resolving the wholesome problem of fault feature symptom description.
