Sorry, you need to enable JavaScript to visit this website.

Audio and Acoustic Signal Processing

Speaker-Invariant Training via Adversarial Learning

Paper Details

Authors:
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang
Submitted On:
12 April 2018 - 6:09pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

sit_poster.pptx

(15 downloads)

Keywords

Subscribe

[1] Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang, "Speaker-Invariant Training via Adversarial Learning", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2508. Accessed: May. 23, 2018.
@article{2508-18,
url = {http://sigport.org/2508},
author = {Zhong Meng; Jinyu Li; Zhuo Chen; Yong Zhao; Vadim Mazalov; Yifan Gong; Biing-Hwang (Fred) Juang },
publisher = {IEEE SigPort},
title = {Speaker-Invariant Training via Adversarial Learning},
year = {2018} }
TY - EJOUR
T1 - Speaker-Invariant Training via Adversarial Learning
AU - Zhong Meng; Jinyu Li; Zhuo Chen; Yong Zhao; Vadim Mazalov; Yifan Gong; Biing-Hwang (Fred) Juang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2508
ER -
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). Speaker-Invariant Training via Adversarial Learning. IEEE SigPort. http://sigport.org/2508
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang, 2018. Speaker-Invariant Training via Adversarial Learning. Available at: http://sigport.org/2508.
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). "Speaker-Invariant Training via Adversarial Learning." Web.
1. Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. Speaker-Invariant Training via Adversarial Learning [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2508

Adversarial Teacher-Student Learning for Unsupervised Adaptation

Paper Details

Authors:
Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang
Submitted On:
12 April 2018 - 6:04pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ats_poster_v2.pptx

(17 downloads)

Keywords

Subscribe

[1] Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang, "Adversarial Teacher-Student Learning for Unsupervised Adaptation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2506. Accessed: May. 23, 2018.
@article{2506-18,
url = {http://sigport.org/2506},
author = {Zhong Meng; Jinyu Li; Yifan Gong; Biing-Hwang (Fred) Juang },
publisher = {IEEE SigPort},
title = {Adversarial Teacher-Student Learning for Unsupervised Adaptation},
year = {2018} }
TY - EJOUR
T1 - Adversarial Teacher-Student Learning for Unsupervised Adaptation
AU - Zhong Meng; Jinyu Li; Yifan Gong; Biing-Hwang (Fred) Juang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2506
ER -
Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). Adversarial Teacher-Student Learning for Unsupervised Adaptation. IEEE SigPort. http://sigport.org/2506
Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang, 2018. Adversarial Teacher-Student Learning for Unsupervised Adaptation. Available at: http://sigport.org/2506.
Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). "Adversarial Teacher-Student Learning for Unsupervised Adaptation." Web.
1. Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang. Adversarial Teacher-Student Learning for Unsupervised Adaptation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2506

Speaker-Invariant Training via Adversarial Learning

Paper Details

Authors:
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang
Submitted On:
12 April 2018 - 6:12pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

sit_poster.pptx

(17 downloads)

Keywords

Subscribe

[1] Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang, "Speaker-Invariant Training via Adversarial Learning", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2505. Accessed: May. 23, 2018.
@article{2505-18,
url = {http://sigport.org/2505},
author = {Zhong Meng; Jinyu Li; Zhuo Chen; Yong Zhao; Vadim Mazalov; Yifan Gong; Biing-Hwang (Fred) Juang },
publisher = {IEEE SigPort},
title = {Speaker-Invariant Training via Adversarial Learning},
year = {2018} }
TY - EJOUR
T1 - Speaker-Invariant Training via Adversarial Learning
AU - Zhong Meng; Jinyu Li; Zhuo Chen; Yong Zhao; Vadim Mazalov; Yifan Gong; Biing-Hwang (Fred) Juang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2505
ER -
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). Speaker-Invariant Training via Adversarial Learning. IEEE SigPort. http://sigport.org/2505
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang, 2018. Speaker-Invariant Training via Adversarial Learning. Available at: http://sigport.org/2505.
Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. (2018). "Speaker-Invariant Training via Adversarial Learning." Web.
1. Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang (Fred) Juang. Speaker-Invariant Training via Adversarial Learning [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2505

FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR


This paper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters. We extend this work to address the challenging task of extracting relevant features when audio events overlap. We assess differ- ent audio decomposition approaches such as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature extraction strategies for each case.

Paper Details

Authors:
Di Sheng, Gyorgy Fazekas
Submitted On:
12 April 2018 - 1:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_icassp.pdf

(317 downloads)

Keywords

Subscribe

[1] Di Sheng, Gyorgy Fazekas, "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2456. Accessed: May. 23, 2018.
@article{2456-18,
url = {http://sigport.org/2456},
author = {Di Sheng; Gyorgy Fazekas },
publisher = {IEEE SigPort},
title = {FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR},
year = {2018} }
TY - EJOUR
T1 - FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
AU - Di Sheng; Gyorgy Fazekas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2456
ER -
Di Sheng, Gyorgy Fazekas. (2018). FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. IEEE SigPort. http://sigport.org/2456
Di Sheng, Gyorgy Fazekas, 2018. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. Available at: http://sigport.org/2456.
Di Sheng, Gyorgy Fazekas. (2018). "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR." Web.
1. Di Sheng, Gyorgy Fazekas. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2456

FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR


This paper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters. We extend this work to address the challenging task of extracting relevant features when audio events overlap. We assess differ- ent audio decomposition approaches such as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature extraction strategies for each case.

Paper Details

Authors:
Di Sheng, Gyorgy Fazekas
Submitted On:
12 April 2018 - 1:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_icassp.pdf

(317 downloads)

Keywords

Subscribe

[1] Di Sheng, Gyorgy Fazekas, "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2455. Accessed: May. 23, 2018.
@article{2455-18,
url = {http://sigport.org/2455},
author = {Di Sheng; Gyorgy Fazekas },
publisher = {IEEE SigPort},
title = {FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR},
year = {2018} }
TY - EJOUR
T1 - FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
AU - Di Sheng; Gyorgy Fazekas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2455
ER -
Di Sheng, Gyorgy Fazekas. (2018). FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. IEEE SigPort. http://sigport.org/2455
Di Sheng, Gyorgy Fazekas, 2018. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. Available at: http://sigport.org/2455.
Di Sheng, Gyorgy Fazekas. (2018). "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR." Web.
1. Di Sheng, Gyorgy Fazekas. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2455

FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR


This paper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters. We extend this work to address the challenging task of extracting relevant features when audio events overlap. We assess differ- ent audio decomposition approaches such as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature extraction strategies for each case.

Paper Details

Authors:
Di Sheng, Gyorgy Fazekas
Submitted On:
12 April 2018 - 1:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_icassp.pdf

(317 downloads)

Keywords

Subscribe

[1] Di Sheng, Gyorgy Fazekas, "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2454. Accessed: May. 23, 2018.
@article{2454-18,
url = {http://sigport.org/2454},
author = {Di Sheng; Gyorgy Fazekas },
publisher = {IEEE SigPort},
title = {FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR},
year = {2018} }
TY - EJOUR
T1 - FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
AU - Di Sheng; Gyorgy Fazekas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2454
ER -
Di Sheng, Gyorgy Fazekas. (2018). FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. IEEE SigPort. http://sigport.org/2454
Di Sheng, Gyorgy Fazekas, 2018. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. Available at: http://sigport.org/2454.
Di Sheng, Gyorgy Fazekas. (2018). "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR." Web.
1. Di Sheng, Gyorgy Fazekas. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2454

FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR


This paper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters. We extend this work to address the challenging task of extracting relevant features when audio events overlap. We assess differ- ent audio decomposition approaches such as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature extraction strategies for each case.

Paper Details

Authors:
Di Sheng, Gyorgy Fazekas
Submitted On:
12 April 2018 - 1:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_icassp.pdf

(317 downloads)

Keywords

Subscribe

[1] Di Sheng, Gyorgy Fazekas, "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2453. Accessed: May. 23, 2018.
@article{2453-18,
url = {http://sigport.org/2453},
author = {Di Sheng; Gyorgy Fazekas },
publisher = {IEEE SigPort},
title = {FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR},
year = {2018} }
TY - EJOUR
T1 - FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
AU - Di Sheng; Gyorgy Fazekas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2453
ER -
Di Sheng, Gyorgy Fazekas. (2018). FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. IEEE SigPort. http://sigport.org/2453
Di Sheng, Gyorgy Fazekas, 2018. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. Available at: http://sigport.org/2453.
Di Sheng, Gyorgy Fazekas. (2018). "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR." Web.
1. Di Sheng, Gyorgy Fazekas. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2453

FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR


This paper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters. We extend this work to address the challenging task of extracting relevant features when audio events overlap. We assess differ- ent audio decomposition approaches such as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature extraction strategies for each case.

Paper Details

Authors:
Di Sheng, Gyorgy Fazekas
Submitted On:
12 April 2018 - 1:40pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

poster_icassp.pdf

(317 downloads)

Keywords

Subscribe

[1] Di Sheng, Gyorgy Fazekas, "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2452. Accessed: May. 23, 2018.
@article{2452-18,
url = {http://sigport.org/2452},
author = {Di Sheng; Gyorgy Fazekas },
publisher = {IEEE SigPort},
title = {FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR},
year = {2018} }
TY - EJOUR
T1 - FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR
AU - Di Sheng; Gyorgy Fazekas
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2452
ER -
Di Sheng, Gyorgy Fazekas. (2018). FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. IEEE SigPort. http://sigport.org/2452
Di Sheng, Gyorgy Fazekas, 2018. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR. Available at: http://sigport.org/2452.
Di Sheng, Gyorgy Fazekas. (2018). "FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR." Web.
1. Di Sheng, Gyorgy Fazekas. FEATURE DESIGN USING AUDIO DECOMPOSITION FOR INTELLIGENT CONTROL OF THE DYNAMIC RANGE COMPRESSOR [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2452

Binaural Speech Source Localization using template matching of interaural time difference patterns

Paper Details

Authors:
Karthik Girija Ramesan, Prasanta Kumar Ghosh
Submitted On:
12 April 2018 - 1:33pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

GRKARTHIK_ICASSP_Poster_final.pdf

(18 downloads)

Keywords

Subscribe

[1] Karthik Girija Ramesan, Prasanta Kumar Ghosh, "Binaural Speech Source Localization using template matching of interaural time difference patterns", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2451. Accessed: May. 23, 2018.
@article{2451-18,
url = {http://sigport.org/2451},
author = {Karthik Girija Ramesan; Prasanta Kumar Ghosh },
publisher = {IEEE SigPort},
title = {Binaural Speech Source Localization using template matching of interaural time difference patterns},
year = {2018} }
TY - EJOUR
T1 - Binaural Speech Source Localization using template matching of interaural time difference patterns
AU - Karthik Girija Ramesan; Prasanta Kumar Ghosh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2451
ER -
Karthik Girija Ramesan, Prasanta Kumar Ghosh. (2018). Binaural Speech Source Localization using template matching of interaural time difference patterns. IEEE SigPort. http://sigport.org/2451
Karthik Girija Ramesan, Prasanta Kumar Ghosh, 2018. Binaural Speech Source Localization using template matching of interaural time difference patterns. Available at: http://sigport.org/2451.
Karthik Girija Ramesan, Prasanta Kumar Ghosh. (2018). "Binaural Speech Source Localization using template matching of interaural time difference patterns." Web.
1. Karthik Girija Ramesan, Prasanta Kumar Ghosh. Binaural Speech Source Localization using template matching of interaural time difference patterns [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2451

OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY

Paper Details

Authors:
Yonina C. Eldar
Submitted On:
12 April 2018 - 1:13pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SparseArrays_ICASSP2018.pdf

(26 downloads)

Keywords

Subscribe

[1] Yonina C. Eldar, "OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2448. Accessed: May. 23, 2018.
@article{2448-18,
url = {http://sigport.org/2448},
author = {Yonina C. Eldar },
publisher = {IEEE SigPort},
title = {OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY},
year = {2018} }
TY - EJOUR
T1 - OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY
AU - Yonina C. Eldar
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2448
ER -
Yonina C. Eldar. (2018). OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY. IEEE SigPort. http://sigport.org/2448
Yonina C. Eldar, 2018. OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY. Available at: http://sigport.org/2448.
Yonina C. Eldar. (2018). "OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY." Web.
1. Yonina C. Eldar. OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2448

Pages