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Signal Transmission and Reception

Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)

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5 July 2018 - 6:52am
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Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation).pdf

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[1] , "Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3357. Accessed: Nov. 16, 2018.
@article{3357-18,
url = {http://sigport.org/3357},
author = { },
publisher = {IEEE SigPort},
title = {Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)},
year = {2018} }
TY - EJOUR
T1 - Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3357
ER -
. (2018). Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation). IEEE SigPort. http://sigport.org/3357
, 2018. Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation). Available at: http://sigport.org/3357.
. (2018). "Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation)." Web.
1. . Computationally Efficient Waveform Design in Spectrally Dense Environment (SAM presentation) [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3357

Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations

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Authors:
Dan Wang and Chuan Huang
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20 June 2018 - 9:42am
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hjh_huibao 12.pdf

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[1] Dan Wang and Chuan Huang, "Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3251. Accessed: Nov. 16, 2018.
@article{3251-18,
url = {http://sigport.org/3251},
author = { Dan Wang and Chuan Huang },
publisher = {IEEE SigPort},
title = {Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations},
year = {2018} }
TY - EJOUR
T1 - Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations
AU - Dan Wang and Chuan Huang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3251
ER -
Dan Wang and Chuan Huang. (2018). Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations. IEEE SigPort. http://sigport.org/3251
Dan Wang and Chuan Huang, 2018. Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations. Available at: http://sigport.org/3251.
Dan Wang and Chuan Huang. (2018). "Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations." Web.
1. Dan Wang and Chuan Huang. Compound Multiple Access Channel with Full-Duplex Amplify-and-Forward Transmitter Cooperations [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3251

Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing


Wireless distributed computing presents new opportunities to execute intelligent tasks on mobile devices for low-latency applications, by wirelessly aggregating the computation and storage resources among mobile devices. However, for low-latency applications, the key bottleneck lies in the exchange of intermediate results among mobile devices for data shuffling. To improve communication efficiency therein, we establish a novel interference alignment condition by exploiting the locally computed intermediate values as side information.

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Authors:
Yuanming Shi, Zhi Ding
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20 April 2018 - 1:48am
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ICASSP_poster.pdf

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[1] Yuanming Shi, Zhi Ding, "Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3080. Accessed: Nov. 16, 2018.
@article{3080-18,
url = {http://sigport.org/3080},
author = {Yuanming Shi; Zhi Ding },
publisher = {IEEE SigPort},
title = {Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing},
year = {2018} }
TY - EJOUR
T1 - Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing
AU - Yuanming Shi; Zhi Ding
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3080
ER -
Yuanming Shi, Zhi Ding. (2018). Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing. IEEE SigPort. http://sigport.org/3080
Yuanming Shi, Zhi Ding, 2018. Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing. Available at: http://sigport.org/3080.
Yuanming Shi, Zhi Ding. (2018). "Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing." Web.
1. Yuanming Shi, Zhi Ding. Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3080

A compressive sensing-based active user and symbol detection for massive machine type communications

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18 April 2018 - 1:18am
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bkjeong_icassp18_r3.pdf

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bkjeong_icassp18_r3.pdf

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[1] , "A compressive sensing-based active user and symbol detection for massive machine type communications", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2691. Accessed: Nov. 16, 2018.
@article{2691-18,
url = {http://sigport.org/2691},
author = { },
publisher = {IEEE SigPort},
title = {A compressive sensing-based active user and symbol detection for massive machine type communications},
year = {2018} }
TY - EJOUR
T1 - A compressive sensing-based active user and symbol detection for massive machine type communications
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2691
ER -
. (2018). A compressive sensing-based active user and symbol detection for massive machine type communications. IEEE SigPort. http://sigport.org/2691
, 2018. A compressive sensing-based active user and symbol detection for massive machine type communications. Available at: http://sigport.org/2691.
. (2018). "A compressive sensing-based active user and symbol detection for massive machine type communications." Web.
1. . A compressive sensing-based active user and symbol detection for massive machine type communications [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2691

Permissible support patterns for identifying the spreading function of time-varying channels


We study support patterns for covariance matrices that appear in the problem of stochastic time-varying channel identification.

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Authors:
Dae Gwan Lee, Alihan Kaplan, Volker Pohl
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13 April 2018 - 6:13am
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LeeKaplanPohl_ICASSP18_Pattern.pdf

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[1] Dae Gwan Lee, Alihan Kaplan, Volker Pohl, "Permissible support patterns for identifying the spreading function of time-varying channels", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2679. Accessed: Nov. 16, 2018.
@article{2679-18,
url = {http://sigport.org/2679},
author = {Dae Gwan Lee; Alihan Kaplan; Volker Pohl },
publisher = {IEEE SigPort},
title = {Permissible support patterns for identifying the spreading function of time-varying channels},
year = {2018} }
TY - EJOUR
T1 - Permissible support patterns for identifying the spreading function of time-varying channels
AU - Dae Gwan Lee; Alihan Kaplan; Volker Pohl
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2679
ER -
Dae Gwan Lee, Alihan Kaplan, Volker Pohl. (2018). Permissible support patterns for identifying the spreading function of time-varying channels. IEEE SigPort. http://sigport.org/2679
Dae Gwan Lee, Alihan Kaplan, Volker Pohl, 2018. Permissible support patterns for identifying the spreading function of time-varying channels. Available at: http://sigport.org/2679.
Dae Gwan Lee, Alihan Kaplan, Volker Pohl. (2018). "Permissible support patterns for identifying the spreading function of time-varying channels." Web.
1. Dae Gwan Lee, Alihan Kaplan, Volker Pohl. Permissible support patterns for identifying the spreading function of time-varying channels [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2679

ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS


Scalable coding is potentially useful in content distribution over unreliable channels, as it enables meaningful reconstruction when the hierarchical bitstream is only partially received. However, its deployment in conjunction with predictive coding may result in considerable performance degradation when errors due to packet loss propagate through the prediction loop. Despite this, most existing predictive scalable coding techniques employ components whose design completely ignores the effects of unreliable channel conditions.

gen-2.pdf

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Authors:
Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose
Submitted On:
12 April 2018 - 4:21pm
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gen-2.pdf

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[1] Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose, "ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2493. Accessed: Nov. 16, 2018.
@article{2493-18,
url = {http://sigport.org/2493},
author = {Tejaswi Nanjundaswamy; Sina Zamani; Kenneth Rose },
publisher = {IEEE SigPort},
title = {ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS},
year = {2018} }
TY - EJOUR
T1 - ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS
AU - Tejaswi Nanjundaswamy; Sina Zamani; Kenneth Rose
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2493
ER -
Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose. (2018). ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS. IEEE SigPort. http://sigport.org/2493
Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose, 2018. ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS. Available at: http://sigport.org/2493.
Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose. (2018). "ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS." Web.
1. Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose. ON ERROR RESILIENT DESIGN OF PREDICTIVE SCALABLE CODING SYSTEMS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2493

EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS


A time-varying filter is proposed which improves by 5 dB upon traditional FRESH and Wiener filters when rejecting a pulsed radar signal. The filter is a Time-Varying FRESH (TV-FRESH) filter, which applies different sets of filter weights in a periodic manner, with the same periodicities of the received signal. Matching the periodicities of the filter to that of the signal improves the rejection of interference, producing a better estimate of the desired signal.

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Authors:
Jeffrey H. Reed
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12 November 2017 - 7:42pm
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poster_globalsip2017.pdf

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[1] Jeffrey H. Reed, "EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2321. Accessed: Nov. 16, 2018.
@article{2321-17,
url = {http://sigport.org/2321},
author = {Jeffrey H. Reed },
publisher = {IEEE SigPort},
title = {EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS},
year = {2017} }
TY - EJOUR
T1 - EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS
AU - Jeffrey H. Reed
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2321
ER -
Jeffrey H. Reed. (2017). EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS. IEEE SigPort. http://sigport.org/2321
Jeffrey H. Reed, 2017. EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS. Available at: http://sigport.org/2321.
Jeffrey H. Reed. (2017). "EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS." Web.
1. Jeffrey H. Reed. EXPLOITING THE CYCLOSTATIONARITY OF RADAR CHIRP SIGNALS WITH TIME-VARYING FILTERS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2321

Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors


Sidelobe suppression has always been an important part of crafting communications signals to keep interference with users of adjacent spectrum to a minimum. Systems based on the discrete Fourier transform, such as orthogonal frequency-division multiplexing (OFDM) and single-carrier frequency-division multiple access (SC-FDMA) are especially prone to out-of-band power leakage. Although many techniques have been proposed to suppress sidelobes in DFT-based systems, a satisfactory balance between computational complexity and out-of-band power leakage has remained elusive.

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12 March 2017 - 8:31pm
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ICASSP 2017 poster.pdf

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[1] , "Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1752. Accessed: Nov. 16, 2018.
@article{1752-17,
url = {http://sigport.org/1752},
author = { },
publisher = {IEEE SigPort},
title = {Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors},
year = {2017} }
TY - EJOUR
T1 - Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1752
ER -
. (2017). Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors. IEEE SigPort. http://sigport.org/1752
, 2017. Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors. Available at: http://sigport.org/1752.
. (2017). "Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors." Web.
1. . Orthogonal Precoding for Sidelobe Suppression in DFT-Based Systems Using Block Reflectors [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1752

Multisymbol With Memory Noncoherent Detection of CPFSK

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7 March 2017 - 2:07pm
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poster_icassp.pdf

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[1] , "Multisymbol With Memory Noncoherent Detection of CPFSK", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1693. Accessed: Nov. 16, 2018.
@article{1693-17,
url = {http://sigport.org/1693},
author = { },
publisher = {IEEE SigPort},
title = {Multisymbol With Memory Noncoherent Detection of CPFSK},
year = {2017} }
TY - EJOUR
T1 - Multisymbol With Memory Noncoherent Detection of CPFSK
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1693
ER -
. (2017). Multisymbol With Memory Noncoherent Detection of CPFSK. IEEE SigPort. http://sigport.org/1693
, 2017. Multisymbol With Memory Noncoherent Detection of CPFSK. Available at: http://sigport.org/1693.
. (2017). "Multisymbol With Memory Noncoherent Detection of CPFSK." Web.
1. . Multisymbol With Memory Noncoherent Detection of CPFSK [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1693

SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL


We study the problem of remote reconstruction of a continuous signal from its multiple corrupted versions. We are interested in the optimal number of samples and their locations for each corrupted signal to minimize the total reconstruction distortion of the remote signal. The correlation among the corrupted signals can be utilized to reduce the sampling rate.

Poster3.pdf

PDF icon Poster3.pdf (478 downloads)

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Authors:
Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti
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7 December 2016 - 10:40am
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Poster3.pdf

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[1] Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti, "SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1400. Accessed: Nov. 16, 2018.
@article{1400-16,
url = {http://sigport.org/1400},
author = {Elaheh Mohammadi ; Alireza Fallah; Farokh Marvasti },
publisher = {IEEE SigPort},
title = {SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL},
year = {2016} }
TY - EJOUR
T1 - SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL
AU - Elaheh Mohammadi ; Alireza Fallah; Farokh Marvasti
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1400
ER -
Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti. (2016). SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL. IEEE SigPort. http://sigport.org/1400
Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti, 2016. SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL. Available at: http://sigport.org/1400.
Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti. (2016). "SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL." Web.
1. Elaheh Mohammadi , Alireza Fallah, Farokh Marvasti. SAMPLING AND DISTORTION TRADEOFFS FOR INDIRECT SOURCE RETRIEVAL [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1400

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