{"title":"基于数字信号处理器系统的CFFT算法多普勒谱图计算","authors":"D. Balasubramaniam, D. Nedumaran","doi":"10.1109/AMS.2009.60","DOIUrl":null,"url":null,"abstract":"Most of the clinical indices of blood flow are estimated from the spectrograms of Doppler ultrasound (DUS) signals. Any noise may degrade the readability of the spectrogram and the precision of the clinical indices, so the spectral augmentation plays an important role in the calculation of DUS spectrum. The proposed design employed Complex Fast Fourier Transform (CFFT), in a Digital Signal Processor (DSP) (TMS320C6711 DSK) based biomedical signal processing system, which results in reduction of computational time as well as processing time, since conventional methods involve FFT and Hilbert Transform techniques. Also, this system has been designed as open research platform, which can be programmable with a variety of novel algorithms like Gabor and Wavelet techniques for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.","PeriodicalId":6461,"journal":{"name":"2009 Third Asia International Conference on Modelling & Simulation","volume":"51 1","pages":"341-344"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Doppler Spectrogram Calculation Using CFFT Algorithm in a Digital Signal Processor Based System\",\"authors\":\"D. Balasubramaniam, D. Nedumaran\",\"doi\":\"10.1109/AMS.2009.60\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most of the clinical indices of blood flow are estimated from the spectrograms of Doppler ultrasound (DUS) signals. Any noise may degrade the readability of the spectrogram and the precision of the clinical indices, so the spectral augmentation plays an important role in the calculation of DUS spectrum. The proposed design employed Complex Fast Fourier Transform (CFFT), in a Digital Signal Processor (DSP) (TMS320C6711 DSK) based biomedical signal processing system, which results in reduction of computational time as well as processing time, since conventional methods involve FFT and Hilbert Transform techniques. Also, this system has been designed as open research platform, which can be programmable with a variety of novel algorithms like Gabor and Wavelet techniques for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.\",\"PeriodicalId\":6461,\"journal\":{\"name\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"volume\":\"51 1\",\"pages\":\"341-344\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third Asia International Conference on Modelling & Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMS.2009.60\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third Asia International Conference on Modelling & Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2009.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Doppler Spectrogram Calculation Using CFFT Algorithm in a Digital Signal Processor Based System
Most of the clinical indices of blood flow are estimated from the spectrograms of Doppler ultrasound (DUS) signals. Any noise may degrade the readability of the spectrogram and the precision of the clinical indices, so the spectral augmentation plays an important role in the calculation of DUS spectrum. The proposed design employed Complex Fast Fourier Transform (CFFT), in a Digital Signal Processor (DSP) (TMS320C6711 DSK) based biomedical signal processing system, which results in reduction of computational time as well as processing time, since conventional methods involve FFT and Hilbert Transform techniques. Also, this system has been designed as open research platform, which can be programmable with a variety of novel algorithms like Gabor and Wavelet techniques for studying improved and resolved spectrograms to obtain accurate diagnostic details in the future.
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