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Signal Transmission and Reception

A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes

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13 May 2020 - 11:01pm
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polar decoder

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[1] , "A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5210. Accessed: Sep. 24, 2020.
@article{5210-20,
url = {http://sigport.org/5210},
author = { },
publisher = {IEEE SigPort},
title = {A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes},
year = {2020} }
TY - EJOUR
T1 - A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5210
ER -
. (2020). A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes. IEEE SigPort. http://sigport.org/5210
, 2020. A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes. Available at: http://sigport.org/5210.
. (2020). "A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes." Web.
1. . A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5210

Variable Projection for Multiple Frequency Estimation


The estimation of the frequencies of multiple complex sinusoids in the presence of noise is required in many applications such as sonar, speech processing, communications, and power systems. This problem can be reformulated as a separable nonlinear least squares problem (SNLLS). In this paper, such formulation is derived and a variable projection (VP) optimization is proposed for solving the SNLLS problem and estimate the frequency parameters. We also apply a lethargy type theorem for quantifying the difficulty of the optimization.

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Authors:
Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer
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6 May 2020 - 3:40pm
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presentation_ICASSP_2020.pdf

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[1] Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer, "Variable Projection for Multiple Frequency Estimation", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5127. Accessed: Sep. 24, 2020.
@article{5127-20,
url = {http://sigport.org/5127},
author = {Yuneisy E. Garcia Guzman; Péter Kovács; Mario Huemer },
publisher = {IEEE SigPort},
title = {Variable Projection for Multiple Frequency Estimation},
year = {2020} }
TY - EJOUR
T1 - Variable Projection for Multiple Frequency Estimation
AU - Yuneisy E. Garcia Guzman; Péter Kovács; Mario Huemer
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5127
ER -
Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer. (2020). Variable Projection for Multiple Frequency Estimation. IEEE SigPort. http://sigport.org/5127
Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer, 2020. Variable Projection for Multiple Frequency Estimation. Available at: http://sigport.org/5127.
Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer. (2020). "Variable Projection for Multiple Frequency Estimation." Web.
1. Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer. Variable Projection for Multiple Frequency Estimation [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5127

POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK


Capacity requirements of the fixed access network keep increasing towards multi-gigabit connections. For Hybrid Fiber Coaxial (HFC) networks, aggregated rates around 30 Gbit/s can be achieved by increasing the DOCSIS spectrum to 3GHz, assuming a spectral efficiency around 10 bit/s/Hz. Replacement of spectrum limiting components such as passive taps in the HFC network is an efficient way to achieve these data rates, compared with the cost of fiber to the home (FTTH).

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Authors:
Rainer Strobel, Thushara Hewavithana
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12 February 2020 - 3:25pm
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Coax_Architecture-FinalSubmit.pdf

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[1] Rainer Strobel, Thushara Hewavithana, "POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/4977. Accessed: Sep. 24, 2020.
@article{4977-20,
url = {http://sigport.org/4977},
author = {Rainer Strobel; Thushara Hewavithana },
publisher = {IEEE SigPort},
title = {POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK},
year = {2020} }
TY - EJOUR
T1 - POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK
AU - Rainer Strobel; Thushara Hewavithana
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/4977
ER -
Rainer Strobel, Thushara Hewavithana. (2020). POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK. IEEE SigPort. http://sigport.org/4977
Rainer Strobel, Thushara Hewavithana, 2020. POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK. Available at: http://sigport.org/4977.
Rainer Strobel, Thushara Hewavithana. (2020). "POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK." Web.
1. Rainer Strobel, Thushara Hewavithana. POWER SPECTRUM OPTIMIZATION FOR CAPACITY OF THE EXTENDED SPECTRUM HYBRID FIBER COAX NETWORK [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/4977

BEM-based UKF Channel Estimation for 5G-enabled V2V Channel

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Authors:
Xuanfan Shen, Yong Liao, Xuewu Dai
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23 November 2018 - 8:20am
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GlobalSIP-1123.pdf

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[1] Xuanfan Shen, Yong Liao, Xuewu Dai, "BEM-based UKF Channel Estimation for 5G-enabled V2V Channel", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3730. Accessed: Sep. 24, 2020.
@article{3730-18,
url = {http://sigport.org/3730},
author = {Xuanfan Shen; Yong Liao; Xuewu Dai },
publisher = {IEEE SigPort},
title = {BEM-based UKF Channel Estimation for 5G-enabled V2V Channel},
year = {2018} }
TY - EJOUR
T1 - BEM-based UKF Channel Estimation for 5G-enabled V2V Channel
AU - Xuanfan Shen; Yong Liao; Xuewu Dai
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3730
ER -
Xuanfan Shen, Yong Liao, Xuewu Dai. (2018). BEM-based UKF Channel Estimation for 5G-enabled V2V Channel. IEEE SigPort. http://sigport.org/3730
Xuanfan Shen, Yong Liao, Xuewu Dai, 2018. BEM-based UKF Channel Estimation for 5G-enabled V2V Channel. Available at: http://sigport.org/3730.
Xuanfan Shen, Yong Liao, Xuewu Dai. (2018). "BEM-based UKF Channel Estimation for 5G-enabled V2V Channel." Web.
1. Xuanfan Shen, Yong Liao, Xuewu Dai. BEM-based UKF Channel Estimation for 5G-enabled V2V Channel [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3730

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: Sep. 24, 2020.
@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: Sep. 24, 2020.
@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: Sep. 24, 2020.
@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: Sep. 24, 2020.
@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: Sep. 24, 2020.
@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.

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Authors:
Tejaswi Nanjundaswamy, Sina Zamani, Kenneth Rose
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12 April 2018 - 4:21pm
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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: Sep. 24, 2020.
@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

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