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Titlebook: Ultra Low-Power Biomedical Signal Processing; An Analog Wavelet Fi Sandro A. P. Haddad,Wouter A. Serdijn Book 2009 Springer Science+Busines

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書目名稱Ultra Low-Power Biomedical Signal Processing
副標(biāo)題An Analog Wavelet Fi
編輯Sandro A. P. Haddad,Wouter A. Serdijn
視頻videohttp://file.papertrans.cn/941/940395/940395.mp4
概述Offers a structured approach to filter design, starting from an arbitrary transfer function or impulse response, all the way down to the actual circuit design.Concentrates on low-power design at all t
叢書名稱Analog Circuits and Signal Processing
圖書封面Titlebook: Ultra Low-Power Biomedical Signal Processing; An Analog Wavelet Fi Sandro A. P. Haddad,Wouter A. Serdijn Book 2009 Springer Science+Busines
描述.Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection...In .Ultra Low-Power Biomedical Signal Processing .we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device..
出版日期Book 2009
關(guān)鍵詞Biomedical Signal Processing; Biomedical application; analog signal processing; biomedical; biomedical a
版次1
doihttps://doi.org/10.1007/978-1-4020-9073-8
isbn_softcover978-90-481-8061-5
isbn_ebook978-1-4020-9073-8Series ISSN 1872-082X Series E-ISSN 2197-1854
issn_series 1872-082X
copyrightSpringer Science+Business Media B.V. 2009
The information of publication is updating

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Conclusions and Future Research,Chapter 8 presents the conclusions and suggestions for further research in this area.
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Analog Circuits and Signal Processinghttp://image.papertrans.cn/u/image/940395.jpg
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Ultra Low-Power Biomedical System Designs,velet filters. Two ultra low-power biomedical systems and four wavelet filter designs are presented in Chapter 7. The simulated and measured results demonstrate very good performance in generating the desired wavelet transform and achieving correct cardiac signal detection in an ultra low-power environment.
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