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KAB. MUNA
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Presented at 2016 PRSA International Conference, Indianapolis. Nowadays, it isn't just bloggers you need to reach - it's Twitter starts, Pinterest mavens and Instagrammers with thousands of followers. This new breed of "influencer" is changing the world of public relations. Learn why PR pros need to get past the paid content discussion and move to the driver's seat in influencer marketing.
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Everyone is asking whether the features of iPhone 5S and 5C will have any impact on mobility (BYOD) services. How these devices sink into the enterprise world; and how enterprises will automate itself with these devices.
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Tekniikan akateemiset TEK:in tuottamaa tietoa vuonna 2014 tekniikan alan yliopistoista valmistuneista.
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Presented at 2016 PRSA International Conference, Indianapolis. Nowadays, it isn't just bloggers you need to reach - it's Twitter starts, Pinterest mavens and Instagrammers with thousands of followers. This new breed of "influencer" is changing the world of public relations. Learn why PR pros need to get past the paid content discussion and move to the driver's seat in influencer marketing.
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Ghidotti Communications
Everyone is asking whether the features of iPhone 5S and 5C will have any impact on mobility (BYOD) services. How these devices sink into the enterprise world; and how enterprises will automate itself with these devices.
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Tekniikan akateemiset TEK:in tuottamaa tietoa vuonna 2014 tekniikan alan yliopistoista valmistuneista.
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Sign up for UniVoIP's Complimentary Nonprofit Webinar Series: http://univoip.org/webinar
Top Strategies to Ensure Donor Retentions for Nonprofit Organizations
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Certificate of completion "25 days of social media strategies" by Buffer
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Federica Gazo
Several signed LMS based adaptive filters, which are computationally superior having multiplier free weight update loops are proposed for noise cancellation in the ECG signal. The adaptive filters essentially minimizes the mean-squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Different filter structures are presented to eliminate the diverse forms of noise: 60Hz power line interference, baseline wander, muscle noise and the motion artifact. Finally, we have applied these algorithms on real ECG signals obtained from the MIT-BIH data base and compared its performance with the conventional LMS algorithm. The results show that the performance of the signed regressor LMS algorithm is superior than conventional LMS algorithm, the performance of signed LMS and sign-sign LMS based realizations are comparable to that of the LMS based filtering techniques in terms of signal to noise ratio and computational complexity.
Noise Cancellation in ECG Signals using Computationally
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James Pritts - Visual Recognition in the Wild: Image Retrieval, Faces, and Text
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A survey of recent research in image fusion for infra red sensors is presented. An appropriate approach is suggested based on requirements and related work.
Image Fusion - Approaches in Hardware
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Sign up for UniVoIP's Complimentary Nonprofit Webinar Series: http://univoip.org/webinar
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Certificate of completion "25 days of social media strategies" by Buffer
25 days of social media strategies by Buffer
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Federica Gazo
Several signed LMS based adaptive filters, which are computationally superior having multiplier free weight update loops are proposed for noise cancellation in the ECG signal. The adaptive filters essentially minimizes the mean-squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Different filter structures are presented to eliminate the diverse forms of noise: 60Hz power line interference, baseline wander, muscle noise and the motion artifact. Finally, we have applied these algorithms on real ECG signals obtained from the MIT-BIH data base and compared its performance with the conventional LMS algorithm. The results show that the performance of the signed regressor LMS algorithm is superior than conventional LMS algorithm, the performance of signed LMS and sign-sign LMS based realizations are comparable to that of the LMS based filtering techniques in terms of signal to noise ratio and computational complexity.
Noise Cancellation in ECG Signals using Computationally
Noise Cancellation in ECG Signals using Computationally
CSCJournals
Internet Service Provider (ISP)
Final isp
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honey32sharma
from EECVC2016
James Pritts - Visual Recognition in the Wild: Image Retrieval, Faces, and Text
James Pritts - Visual Recognition in the Wild: Image Retrieval, Faces, and Text
Eastern European Computer Vision Conference
A survey of recent research in image fusion for infra red sensors is presented. An appropriate approach is suggested based on requirements and related work.
Image Fusion - Approaches in Hardware
Image Fusion - Approaches in Hardware
Kshitij Agrawal
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Top Strategies to Ensure Donor Retentions for Nonprofit Organizations
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Puskesmas katobu
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CPECC Certificate JP
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25 days of social media strategies by Buffer
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Noise Cancellation in ECG Signals using Computationally
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Final isp
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James Pritts - Visual Recognition in the Wild: Image Retrieval, Faces, and Text
James Pritts - Visual Recognition in the Wild: Image Retrieval, Faces, and Text
Image Fusion - Approaches in Hardware
Image Fusion - Approaches in Hardware
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