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Audio and Acoustic Signal Processing

OPTIMIZED SPARSE ARRAY DESIGN BASED ON THE SUM CO-ARRAY

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Authors:
Yonina C. Eldar
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12 April 2018 - 1:13pm
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SparseArrays_ICASSP2018.pdf

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[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. 26, 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

BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION

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12 April 2018 - 12:38pm
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poster_bridgenet_v2.pdf

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[1] , "BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2437. Accessed: May. 26, 2018.
@article{2437-18,
url = {http://sigport.org/2437},
author = { },
publisher = {IEEE SigPort},
title = {BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION},
year = {2018} }
TY - EJOUR
T1 - BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2437
ER -
. (2018). BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION. IEEE SigPort. http://sigport.org/2437
, 2018. BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION. Available at: http://sigport.org/2437.
. (2018). "BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION." Web.
1. . BRIDGENETS: STUDENT-TEACHER TRANSFER LEARNING BASED ON RECURSIVE NEURAL NETWORKS AND ITS APPLICATION TO DISTANT SPEECH RECOGNITION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2437

HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN

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Authors:
Kazi J. Ahmed, Bo Yuan, Myung J. Lee
Submitted On:
12 April 2018 - 12:37pm
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PosterPresentationFinal.pdf

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[1] Kazi J. Ahmed, Bo Yuan, Myung J. Lee, "HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2436. Accessed: May. 26, 2018.
@article{2436-18,
url = {http://sigport.org/2436},
author = {Kazi J. Ahmed; Bo Yuan; Myung J. Lee },
publisher = {IEEE SigPort},
title = {HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN},
year = {2018} }
TY - EJOUR
T1 - HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN
AU - Kazi J. Ahmed; Bo Yuan; Myung J. Lee
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2436
ER -
Kazi J. Ahmed, Bo Yuan, Myung J. Lee. (2018). HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN. IEEE SigPort. http://sigport.org/2436
Kazi J. Ahmed, Bo Yuan, Myung J. Lee, 2018. HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN. Available at: http://sigport.org/2436.
Kazi J. Ahmed, Bo Yuan, Myung J. Lee. (2018). "HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN." Web.
1. Kazi J. Ahmed, Bo Yuan, Myung J. Lee. HIGH-ACCURACY STOCHASTIC COMPUTING-BASED FIR FILTER DESIGN [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2436

Linear classification in speech-based objective differential diagnosis of Parkinsonism

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Authors:
Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz
Submitted On:
12 April 2018 - 11:33am
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Poster-Icassp18.pdf

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[1] Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz, "Linear classification in speech-based objective differential diagnosis of Parkinsonism", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2405. Accessed: May. 26, 2018.
@article{2405-18,
url = {http://sigport.org/2405},
author = {Gongfeng Li; Khalid Daoudi; Jiri Klempir; Jan Rusz },
publisher = {IEEE SigPort},
title = {Linear classification in speech-based objective differential diagnosis of Parkinsonism},
year = {2018} }
TY - EJOUR
T1 - Linear classification in speech-based objective differential diagnosis of Parkinsonism
AU - Gongfeng Li; Khalid Daoudi; Jiri Klempir; Jan Rusz
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2405
ER -
Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz. (2018). Linear classification in speech-based objective differential diagnosis of Parkinsonism. IEEE SigPort. http://sigport.org/2405
Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz, 2018. Linear classification in speech-based objective differential diagnosis of Parkinsonism. Available at: http://sigport.org/2405.
Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz. (2018). "Linear classification in speech-based objective differential diagnosis of Parkinsonism." Web.
1. Gongfeng Li, Khalid Daoudi, Jiri Klempir, Jan Rusz. Linear classification in speech-based objective differential diagnosis of Parkinsonism [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2405

Deep Geometric Matrix Completion

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Authors:
Federico Monti, Michael M. Bronstein, Xavier Bresson
Submitted On:
12 April 2018 - 5:42pm
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ICASSP.pdf

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[1] Federico Monti, Michael M. Bronstein, Xavier Bresson, "Deep Geometric Matrix Completion", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2394. Accessed: May. 26, 2018.
@article{2394-18,
url = {http://sigport.org/2394},
author = {Federico Monti; Michael M. Bronstein; Xavier Bresson },
publisher = {IEEE SigPort},
title = {Deep Geometric Matrix Completion},
year = {2018} }
TY - EJOUR
T1 - Deep Geometric Matrix Completion
AU - Federico Monti; Michael M. Bronstein; Xavier Bresson
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2394
ER -
Federico Monti, Michael M. Bronstein, Xavier Bresson. (2018). Deep Geometric Matrix Completion. IEEE SigPort. http://sigport.org/2394
Federico Monti, Michael M. Bronstein, Xavier Bresson, 2018. Deep Geometric Matrix Completion. Available at: http://sigport.org/2394.
Federico Monti, Michael M. Bronstein, Xavier Bresson. (2018). "Deep Geometric Matrix Completion." Web.
1. Federico Monti, Michael M. Bronstein, Xavier Bresson. Deep Geometric Matrix Completion [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2394

A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution

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Authors:
Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax
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12 April 2018 - 11:10am
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Poster_Kuehl_ICASSP18.pdf

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[1] Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax, "A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2381. Accessed: May. 26, 2018.
@article{2381-18,
url = {http://sigport.org/2381},
author = {Stefan Kühl; Sebastian Nagel; Tobias Kabzinski; Christiane Antweiler; Peter Jax },
publisher = {IEEE SigPort},
title = {A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution},
year = {2018} }
TY - EJOUR
T1 - A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution
AU - Stefan Kühl; Sebastian Nagel; Tobias Kabzinski; Christiane Antweiler; Peter Jax
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2381
ER -
Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax. (2018). A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution. IEEE SigPort. http://sigport.org/2381
Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax, 2018. A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution. Available at: http://sigport.org/2381.
Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax. (2018). "A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution." Web.
1. Stefan Kühl, Sebastian Nagel, Tobias Kabzinski, Christiane Antweiler, Peter Jax. A Joint Perspective of Periodically Excited Efficient NLMS Algorithm and Inverse Cyclic Convolution [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2381

Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices

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Authors:
Kimberly Ingraham, Daniel Ferris, C. David Remy
Submitted On:
14 November 2017 - 9:36am
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Ingraham_GlobalSIP_18min_pdf.pdf

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[1] Kimberly Ingraham, Daniel Ferris, C. David Remy, "Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2350. Accessed: May. 26, 2018.
@article{2350-17,
url = {http://sigport.org/2350},
author = {Kimberly Ingraham; Daniel Ferris; C. David Remy },
publisher = {IEEE SigPort},
title = {Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices},
year = {2017} }
TY - EJOUR
T1 - Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices
AU - Kimberly Ingraham; Daniel Ferris; C. David Remy
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2350
ER -
Kimberly Ingraham, Daniel Ferris, C. David Remy. (2017). Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices. IEEE SigPort. http://sigport.org/2350
Kimberly Ingraham, Daniel Ferris, C. David Remy, 2017. Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices. Available at: http://sigport.org/2350.
Kimberly Ingraham, Daniel Ferris, C. David Remy. (2017). "Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices." Web.
1. Kimberly Ingraham, Daniel Ferris, C. David Remy. Using Portable Physiological Sensors to Estimate Energy Cost for ‘Body-in-the-Loop’ Optimization of Assistive Robotic Devices [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2350

Performance Evaluation of Beacons for Indoor Localization in Smart Buildings

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Authors:
Andrew Mackey, Petros Spachos
Submitted On:
12 November 2017 - 8:44pm
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mackeyGlobalSIP_2017.pdf

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[1] Andrew Mackey, Petros Spachos, "Performance Evaluation of Beacons for Indoor Localization in Smart Buildings", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2324. Accessed: May. 26, 2018.
@article{2324-17,
url = {http://sigport.org/2324},
author = {Andrew Mackey; Petros Spachos },
publisher = {IEEE SigPort},
title = {Performance Evaluation of Beacons for Indoor Localization in Smart Buildings},
year = {2017} }
TY - EJOUR
T1 - Performance Evaluation of Beacons for Indoor Localization in Smart Buildings
AU - Andrew Mackey; Petros Spachos
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2324
ER -
Andrew Mackey, Petros Spachos. (2017). Performance Evaluation of Beacons for Indoor Localization in Smart Buildings. IEEE SigPort. http://sigport.org/2324
Andrew Mackey, Petros Spachos, 2017. Performance Evaluation of Beacons for Indoor Localization in Smart Buildings. Available at: http://sigport.org/2324.
Andrew Mackey, Petros Spachos. (2017). "Performance Evaluation of Beacons for Indoor Localization in Smart Buildings." Web.
1. Andrew Mackey, Petros Spachos. Performance Evaluation of Beacons for Indoor Localization in Smart Buildings [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2324

Recognition of Spoofed Voice Using Convolutional Neural Networks

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9 November 2017 - 9:32pm
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poster_GlobalSIP2017.pdf

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[1] , "Recognition of Spoofed Voice Using Convolutional Neural Networks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2278. Accessed: May. 26, 2018.
@article{2278-17,
url = {http://sigport.org/2278},
author = { },
publisher = {IEEE SigPort},
title = {Recognition of Spoofed Voice Using Convolutional Neural Networks},
year = {2017} }
TY - EJOUR
T1 - Recognition of Spoofed Voice Using Convolutional Neural Networks
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2278
ER -
. (2017). Recognition of Spoofed Voice Using Convolutional Neural Networks. IEEE SigPort. http://sigport.org/2278
, 2017. Recognition of Spoofed Voice Using Convolutional Neural Networks. Available at: http://sigport.org/2278.
. (2017). "Recognition of Spoofed Voice Using Convolutional Neural Networks." Web.
1. . Recognition of Spoofed Voice Using Convolutional Neural Networks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2278

Compressive Image Recovery using Recurrent Generative Model


Reconstruction of signals from compressively sensed measurements is an ill-posed problem. In this paper, we leverage the recurrent generative model, RIDE, as an image prior for compressive image reconstruction. Recurrent networks can model long-range dependencies in images and hence are suitable to handle global multiplexing in reconstruction from compressive imaging. We perform MAP inference with RIDE using back-propagation to the inputs and projected gradient method. We propose an entropy thresholding based approach for preserving texture in images well.

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Authors:
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra
Submitted On:
26 September 2017 - 7:44am
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icip17_final.pptx

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[1] Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra, "Compressive Image Recovery using Recurrent Generative Model", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2246. Accessed: May. 26, 2018.
@article{2246-17,
url = {http://sigport.org/2246},
author = {Akshat Dave; Anil Kumar Vadathya; Kaushik Mitra },
publisher = {IEEE SigPort},
title = {Compressive Image Recovery using Recurrent Generative Model},
year = {2017} }
TY - EJOUR
T1 - Compressive Image Recovery using Recurrent Generative Model
AU - Akshat Dave; Anil Kumar Vadathya; Kaushik Mitra
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2246
ER -
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. (2017). Compressive Image Recovery using Recurrent Generative Model. IEEE SigPort. http://sigport.org/2246
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra, 2017. Compressive Image Recovery using Recurrent Generative Model. Available at: http://sigport.org/2246.
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. (2017). "Compressive Image Recovery using Recurrent Generative Model." Web.
1. Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. Compressive Image Recovery using Recurrent Generative Model [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2246

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