際際滷shows by User: mravendi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: mravendi / Mon, 13 Jul 2015 07:11:20 GMT 際際滷Share feed for 際際滷shows by User: mravendi Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing /slideshow/blindspectrum-nonuniform-sampling-and-its-application-in-wideband-spectrum-sensing/50455411 mscpart2-150713071120-lva1-app6892
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing]]>
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing]]> Mon, 13 Jul 2015 07:11:20 GMT /slideshow/blindspectrum-nonuniform-sampling-and-its-application-in-wideband-spectrum-sensing/50455411 mravendi@slideshare.net(mravendi) Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing mravendi Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mscpart2-150713071120-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing
Blind-Spectrum Non-uniform Sampling and its Application in Wideband Spectrum Sensing from mravendi
]]> 611 5 https://cdn.slidesharecdn.com/ss_thumbnails/mscpart2-150713071120-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Non-Uniform sampling and reconstruction of multi-band signals /mravendi/m-sc-part1 mscpart1-150713071005-lva1-app6892
Non-Uniform sampling and reconstruction of multi-band signals]]>
Non-Uniform sampling and reconstruction of multi-band signals]]> Mon, 13 Jul 2015 07:10:05 GMT /mravendi/m-sc-part1 mravendi@slideshare.net(mravendi) Non-Uniform sampling and reconstruction of multi-band signals mravendi Non-Uniform sampling and reconstruction of multi-band signals <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mscpart1-150713071005-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Non-Uniform sampling and reconstruction of multi-band signals
Non-Uniform sampling and reconstruction of multi-band signals from mravendi
]]> 719 4 https://cdn.slidesharecdn.com/ss_thumbnails/mscpart1-150713071005-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio /slideshow/dyspan-2011/50455190 dyspan2011-150713070305-lva1-app6892
An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio]]>
An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio]]> Mon, 13 Jul 2015 07:03:04 GMT /slideshow/dyspan-2011/50455190 mravendi@slideshare.net(mravendi) An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio mravendi An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dyspan2011-150713070305-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio
An NLLS Based Sub-Nyquist Rate Spectrum Sensing for Wideband Cognitive Radio from mravendi
]]> 508 5 https://cdn.slidesharecdn.com/ss_thumbnails/dyspan2011-150713070305-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING /slideshow/dsp-spe-2011/50455131 dspspe2011-150713070106-lva1-app6892
A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING]]>
A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING]]> Mon, 13 Jul 2015 07:01:06 GMT /slideshow/dsp-spe-2011/50455131 mravendi@slideshare.net(mravendi) A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING mravendi A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dspspe2011-150713070106-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING
A WIDEBAND SPECTRUM SENSING METHOD FOR COGNITIVE RADIO USING SUB-NYQUIST SAMPLING from mravendi
]]> 473 6 https://cdn.slidesharecdn.com/ss_thumbnails/dspspe2011-150713070106-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Intro deep learning /slideshow/intro-deep-learning/50406893 introdeeplearning-150711004128-lva1-app6892
Deep Learning, Trends, and Advances]]>
Deep Learning, Trends, and Advances]]> Sat, 11 Jul 2015 00:41:28 GMT /slideshow/intro-deep-learning/50406893 mravendi@slideshare.net(mravendi) Intro deep learning mravendi Deep Learning, Trends, and Advances <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introdeeplearning-150711004128-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning, Trends, and Advances
Intro deep learning from mravendi
]]> 1103 5 https://cdn.slidesharecdn.com/ss_thumbnails/introdeeplearning-150711004128-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Automatic 4D (3D+time) Segmentation of Cardiac MRI /slideshow/cmr-aug14s/50406715 cmr-aug-14-s-150711002757-lva1-app6891
Automatic 4D (3D+time) Segmentation of Cardiac MRI]]>
Automatic 4D (3D+time) Segmentation of Cardiac MRI]]> Sat, 11 Jul 2015 00:27:57 GMT /slideshow/cmr-aug14s/50406715 mravendi@slideshare.net(mravendi) Automatic 4D (3D+time) Segmentation of Cardiac MRI mravendi Automatic 4D (3D+time) Segmentation of Cardiac MRI <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cmr-aug-14-s-150711002757-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Automatic 4D (3D+time) Segmentation of Cardiac MRI
Automatic 4D (3D+time) Segmentation of Cardiac MRI from mravendi
]]> 1032 5 https://cdn.slidesharecdn.com/ss_thumbnails/cmr-aug-14-s-150711002757-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels /slideshow/uci-april14/50406686 uciapril14-150711002516-lva1-app6891
Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels]]>
Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels]]> Sat, 11 Jul 2015 00:25:16 GMT /slideshow/uci-april14/50406686 mravendi@slideshare.net(mravendi) Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels mravendi Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uciapril14-150711002516-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels
Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels from mravendi
]]> 456 4 https://cdn.slidesharecdn.com/ss_thumbnails/uciapril14-150711002516-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Asynchronous Differential Distributed Space-Time Coding /slideshow/uci-feb14/50406643 ucifeb14-150711002130-lva1-app6891
Asynchronous Differential Distributed Space-Time Coding]]>
Asynchronous Differential Distributed Space-Time Coding]]> Sat, 11 Jul 2015 00:21:30 GMT /slideshow/uci-feb14/50406643 mravendi@slideshare.net(mravendi) Asynchronous Differential Distributed Space-Time Coding mravendi Asynchronous Differential Distributed Space-Time Coding <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ucifeb14-150711002130-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Asynchronous Differential Distributed Space-Time Coding
Asynchronous Differential Distributed Space-Time Coding from mravendi
]]> 314 4 https://cdn.slidesharecdn.com/ss_thumbnails/ucifeb14-150711002130-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Differential Modulation and Non-Coherent Detection in Wireless Relay Networks /slideshow/ph-d-defense/50406582 phddefense-150711001628-lva1-app6891
Differential Modulation and Non-Coherent Detection in Wireless Relay Networks]]>
Differential Modulation and Non-Coherent Detection in Wireless Relay Networks]]> Sat, 11 Jul 2015 00:16:28 GMT /slideshow/ph-d-defense/50406582 mravendi@slideshare.net(mravendi) Differential Modulation and Non-Coherent Detection in Wireless Relay Networks mravendi Differential Modulation and Non-Coherent Detection in Wireless Relay Networks <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/phddefense-150711001628-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Differential Modulation and Non-Coherent Detection in Wireless Relay Networks
Differential Modulation and Non-Coherent Detection in Wireless Relay Networks from mravendi
]]> 1040 8 https://cdn.slidesharecdn.com/ss_thumbnails/phddefense-150711001628-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cooperative Wireless Communications /slideshow/seminar-april-2013/50406546 seminarapril2013-150711001335-lva1-app6892
Cooperative Wireless Communications]]>
Cooperative Wireless Communications]]> Sat, 11 Jul 2015 00:13:34 GMT /slideshow/seminar-april-2013/50406546 mravendi@slideshare.net(mravendi) Cooperative Wireless Communications mravendi Cooperative Wireless Communications <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/seminarapril2013-150711001335-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Cooperative Wireless Communications
Cooperative Wireless Communications from mravendi
]]> 2247 7 https://cdn.slidesharecdn.com/ss_thumbnails/seminarapril2013-150711001335-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Multiple-Symbol Differential Detection for Distributed Space-Time Coding /slideshow/com-mantel14/50406500 commantel14-150711000950-lva1-app6891
Multiple-Symbol Differential Detection for Distributed Space-Time Coding]]>
Multiple-Symbol Differential Detection for Distributed Space-Time Coding]]> Sat, 11 Jul 2015 00:09:50 GMT /slideshow/com-mantel14/50406500 mravendi@slideshare.net(mravendi) Multiple-Symbol Differential Detection for Distributed Space-Time Coding mravendi Multiple-Symbol Differential Detection for Distributed Space-Time Coding <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/commantel14-150711000950-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Multiple-Symbol Differential Detection for Distributed Space-Time Coding
Multiple-Symbol Differential Detection for Distributed Space-Time Coding from mravendi
]]> 421 3 https://cdn.slidesharecdn.com/ss_thumbnails/commantel14-150711000950-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels /slideshow/cwit-2013/50406468 cwit2013-150711000653-lva1-app6891
Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels]]>
Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels]]> Sat, 11 Jul 2015 00:06:53 GMT /slideshow/cwit-2013/50406468 mravendi@slideshare.net(mravendi) Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels mravendi Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cwit2013-150711000653-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels
Differential Dual-Hop Relaying over Time-Varying Rayleigh-Fading Channels from mravendi
]]> 391 5 https://cdn.slidesharecdn.com/ss_thumbnails/cwit2013-150711000653-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels /slideshow/wcnc13/50406396 wcnc13-150711000058-lva1-app6892
Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels This paper considers the performance of differential amplify-and-forward (D-AF) relaying over time-varying Rayleigh fading channels. Using the auto-regressive time-series model to characterize the time-varying nature of the wireless channels, new weights for the maximum ratio combining (MRC) of the received signals at the destination are proposed. Expression for the pair-wise error probability (PEP) is provided and used to obtain an approximation of the total average bit error probability (BEP). The obtained BEP approximation clearly shows how the system performance depends on the auto-correlation of the direct and the cascaded channels and an irreducible error floor exists at high signal-to-noise ratio (SNR). Simulation results also demonstrate that, for fast-fading channels, the new MRC weights lead to a better performance when compared to the classical combining scheme. Our analysis is verified with simulation results in different fading scenarios.]]>
Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels This paper considers the performance of differential amplify-and-forward (D-AF) relaying over time-varying Rayleigh fading channels. Using the auto-regressive time-series model to characterize the time-varying nature of the wireless channels, new weights for the maximum ratio combining (MRC) of the received signals at the destination are proposed. Expression for the pair-wise error probability (PEP) is provided and used to obtain an approximation of the total average bit error probability (BEP). The obtained BEP approximation clearly shows how the system performance depends on the auto-correlation of the direct and the cascaded channels and an irreducible error floor exists at high signal-to-noise ratio (SNR). Simulation results also demonstrate that, for fast-fading channels, the new MRC weights lead to a better performance when compared to the classical combining scheme. Our analysis is verified with simulation results in different fading scenarios.]]> Sat, 11 Jul 2015 00:00:58 GMT /slideshow/wcnc13/50406396 mravendi@slideshare.net(mravendi) Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels mravendi Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels This paper considers the performance of differential amplify-and-forward (D-AF) relaying over time-varying Rayleigh fading channels. Using the auto-regressive time-series model to characterize the time-varying nature of the wireless channels, new weights for the maximum ratio combining (MRC) of the received signals at the destination are proposed. Expression for the pair-wise error probability (PEP) is provided and used to obtain an approximation of the total average bit error probability (BEP). The obtained BEP approximation clearly shows how the system performance depends on the auto-correlation of the direct and the cascaded channels and an irreducible error floor exists at high signal-to-noise ratio (SNR). Simulation results also demonstrate that, for fast-fading channels, the new MRC weights lead to a better performance when compared to the classical combining scheme. Our analysis is verified with simulation results in different fading scenarios. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wcnc13-150711000058-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels This paper considers the performance of differential amplify-and-forward (D-AF) relaying over time-varying Rayleigh fading channels. Using the auto-regressive time-series model to characterize the time-varying nature of the wireless channels, new weights for the maximum ratio combining (MRC) of the received signals at the destination are proposed. Expression for the pair-wise error probability (PEP) is provided and used to obtain an approximation of the total average bit error probability (BEP). The obtained BEP approximation clearly shows how the system performance depends on the auto-correlation of the direct and the cascaded channels and an irreducible error floor exists at high signal-to-noise ratio (SNR). Simulation results also demonstrate that, for fast-fading channels, the new MRC weights lead to a better performance when compared to the classical combining scheme. Our analysis is verified with simulation results in different fading scenarios.
Differential Amplify-and-Forward Relaying in Time-Varying Rayleigh Fading Channels from mravendi
]]> 641 6 https://cdn.slidesharecdn.com/ss_thumbnails/wcnc13-150711000058-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/mscpart2-150713071120-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/blindspectrum-nonuniform-sampling-and-its-application-in-wideband-spectrum-sensing/50455411 Blind-Spectrum Non-uni... https://cdn.slidesharecdn.com/ss_thumbnails/mscpart1-150713071005-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds mravendi/m-sc-part1 Non-Uniform sampling a... https://cdn.slidesharecdn.com/ss_thumbnails/dyspan2011-150713070305-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dyspan-2011/50455190 An NLLS Based Sub-Nyqu...