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

Audio and Acoustic Signal Processing

Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise


This paper presents a new method for solving linear inverse problems where the observations are corrupted with a mixed Poisson-Gaussian noise.

slides.pdf

PDF icon slides.pdf (174 downloads)

Paper Details

Authors:
Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet
Submitted On:
21 March 2016 - 7:25pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

slides.pdf

(174 downloads)

Keywords

Subscribe

[1] Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet, "Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/939. Accessed: May. 25, 2017.
@article{939-16,
url = {http://sigport.org/939},
author = {Yosra Marnissi; Yuling Zheng; and Jean-Christophe Pesquet },
publisher = {IEEE SigPort},
title = {Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise},
year = {2016} }
TY - EJOUR
T1 - Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise
AU - Yosra Marnissi; Yuling Zheng; and Jean-Christophe Pesquet
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/939
ER -
Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet. (2016). Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise. IEEE SigPort. http://sigport.org/939
Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet, 2016. Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise. Available at: http://sigport.org/939.
Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet. (2016). "Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise." Web.
1. Yosra Marnissi, Yuling Zheng, and Jean-Christophe Pesquet. Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian Noise [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/939

Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice


SFA vs MFA

In the state of the art, a single frame of DFT transform is commonly used as a basis for building amplitude spectral envelopes.
Multiple Frame Analysis (MFA) has already been suggested for envelope estimation, but often with excessive complexity.
In this paper, two MFA-based methods are presented: one simplifying an existing Least Square (LS) solution, and another one based on a simple linear interpolation.

Paper Details

Authors:
Gilles Degottex, Luc Ardaillon, Axel Roebel
Submitted On:
21 March 2016 - 11:37am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

SP-L2.2-2418-degottex.pdf

(138 downloads)

Keywords

Subscribe

[1] Gilles Degottex, Luc Ardaillon, Axel Roebel, "Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/930. Accessed: May. 25, 2017.
@article{930-16,
url = {http://sigport.org/930},
author = {Gilles Degottex; Luc Ardaillon; Axel Roebel },
publisher = {IEEE SigPort},
title = {Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice},
year = {2016} }
TY - EJOUR
T1 - Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice
AU - Gilles Degottex; Luc Ardaillon; Axel Roebel
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/930
ER -
Gilles Degottex, Luc Ardaillon, Axel Roebel. (2016). Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice. IEEE SigPort. http://sigport.org/930
Gilles Degottex, Luc Ardaillon, Axel Roebel, 2016. Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice. Available at: http://sigport.org/930.
Gilles Degottex, Luc Ardaillon, Axel Roebel. (2016). "Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice." Web.
1. Gilles Degottex, Luc Ardaillon, Axel Roebel. Simple Multi Frame Analysis Methods for Estimation of Amplitude Spectral Envelope in Singing Voice [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/930

UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge

Paper Details

Authors:
Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen
Submitted On:
20 March 2016 - 9:54am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Final-2016-ICASSP-TEMPLATE-POSTER-OneBig-rev1-WIDE-1.ppt

(163 downloads)

Keywords

Subscribe

[1] Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen, "UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/875. Accessed: May. 25, 2017.
@article{875-16,
url = {http://sigport.org/875},
author = {Chengzhu Yu; Chunlei Zhang; Shivesh Ranjan; Qian Zhang; Abhinav Misra; Finnian Kelly; and John H.L. Hansen },
publisher = {IEEE SigPort},
title = {UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge},
year = {2016} }
TY - EJOUR
T1 - UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge
AU - Chengzhu Yu; Chunlei Zhang; Shivesh Ranjan; Qian Zhang; Abhinav Misra; Finnian Kelly; and John H.L. Hansen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/875
ER -
Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen. (2016). UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge. IEEE SigPort. http://sigport.org/875
Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen, 2016. UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge. Available at: http://sigport.org/875.
Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen. (2016). "UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge." Web.
1. Chengzhu Yu, Chunlei Zhang, Shivesh Ranjan, Qian Zhang, Abhinav Misra, Finnian Kelly, and John H.L. Hansen. UTD-CRSS System For The NIST 2015 Language Recognition I-Vector Machine Learning Challenge [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/875

STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS

Paper Details

Authors:
Changxiao Cai, Sujay Sanghavi, Haris Vikalo
Submitted On:
19 March 2016 - 11:00pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster.pdf

(194 downloads)

Keywords

Subscribe

[1] Changxiao Cai, Sujay Sanghavi, Haris Vikalo, "STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/854. Accessed: May. 25, 2017.
@article{854-16,
url = {http://sigport.org/854},
author = {Changxiao Cai; Sujay Sanghavi; Haris Vikalo },
publisher = {IEEE SigPort},
title = {STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS},
year = {2016} }
TY - EJOUR
T1 - STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS
AU - Changxiao Cai; Sujay Sanghavi; Haris Vikalo
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/854
ER -
Changxiao Cai, Sujay Sanghavi, Haris Vikalo. (2016). STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS. IEEE SigPort. http://sigport.org/854
Changxiao Cai, Sujay Sanghavi, Haris Vikalo, 2016. STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS. Available at: http://sigport.org/854.
Changxiao Cai, Sujay Sanghavi, Haris Vikalo. (2016). "STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS." Web.
1. Changxiao Cai, Sujay Sanghavi, Haris Vikalo. STRUCTURALLY-CONSTRAINED GRADIENT DESCENT FOR MATRIX FACTORIZATION IN HAPLOTYPE ASSEMBLY PROBLEMS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/854

Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification


Recent work on zero resource word discovery makes intensive use of audio fragment clustering to find repeating speech patterns. In the absence of acoustic models, the clustering step traditionally relies on dynamic time warping (DTW) to compare two samples and thus suffers from the known limitations of this technique. We propose a new sample comparison method, called 'similarity by terative classification', that exploits the modeling capacities of hidden Markov models (HMM) with no supervision.

Paper Details

Authors:
Amélie Royer, Guillaume Gravier, Vincent Claveau
Submitted On:
19 March 2016 - 2:37pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Poster_ICASSP.pdf

(375 downloads)

Keywords

Subscribe

[1] Amélie Royer, Guillaume Gravier, Vincent Claveau, "Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/829. Accessed: May. 25, 2017.
@article{829-16,
url = {http://sigport.org/829},
author = {Amélie Royer; Guillaume Gravier; Vincent Claveau },
publisher = {IEEE SigPort},
title = {Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification},
year = {2016} }
TY - EJOUR
T1 - Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification
AU - Amélie Royer; Guillaume Gravier; Vincent Claveau
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/829
ER -
Amélie Royer, Guillaume Gravier, Vincent Claveau. (2016). Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification. IEEE SigPort. http://sigport.org/829
Amélie Royer, Guillaume Gravier, Vincent Claveau, 2016. Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification. Available at: http://sigport.org/829.
Amélie Royer, Guillaume Gravier, Vincent Claveau. (2016). "Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification." Web.
1. Amélie Royer, Guillaume Gravier, Vincent Claveau. Audio Word Similarity for Clustering with Zero Resources based on iterative HMM Classification [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/829

EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS


EQUALIZATION MATCHING OF SPEECH RECORDINGS  IN REAL-WORLD ENVIRONMENTS

When different parts of speech content such as voice-overs and narration are recorded in real-world environments with different acoustic properties and background noise, the difference in sound quality between the recordings is typically quite audible and therefore undesirable. We propose an algorithm to equalize multiple such speech recordings so that they sound like they were recorded in the same environment. As the timbral content of the speech and background noise typically differ considerably, a simple equalization matching results in a noticeable mismatch in the output signals.

Paper Details

Authors:
Francois G. Germain, Gautham J. Mysore, Takako Fujioka
Submitted On:
19 March 2016 - 10:11am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

poster_fg_icassp16.pdf

(146 downloads)

Keywords

Subscribe

[1] Francois G. Germain, Gautham J. Mysore, Takako Fujioka, "EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/812. Accessed: May. 25, 2017.
@article{812-16,
url = {http://sigport.org/812},
author = {Francois G. Germain; Gautham J. Mysore; Takako Fujioka },
publisher = {IEEE SigPort},
title = {EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS},
year = {2016} }
TY - EJOUR
T1 - EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS
AU - Francois G. Germain; Gautham J. Mysore; Takako Fujioka
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/812
ER -
Francois G. Germain, Gautham J. Mysore, Takako Fujioka. (2016). EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS. IEEE SigPort. http://sigport.org/812
Francois G. Germain, Gautham J. Mysore, Takako Fujioka, 2016. EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS. Available at: http://sigport.org/812.
Francois G. Germain, Gautham J. Mysore, Takako Fujioka. (2016). "EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS." Web.
1. Francois G. Germain, Gautham J. Mysore, Takako Fujioka. EQUALIZATION MATCHING OF SPEECH RECORDINGS IN REAL-WORLD ENVIRONMENTS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/812

Optimal Transport between Copulas for Clustering Time Series

Paper Details

Authors:
Submitted On:
19 March 2016 - 2:15am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

optimal-copula-transport.pdf

(122 downloads)

Keywords

Subscribe

[1] , "Optimal Transport between Copulas for Clustering Time Series", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/782. Accessed: May. 25, 2017.
@article{782-16,
url = {http://sigport.org/782},
author = { },
publisher = {IEEE SigPort},
title = {Optimal Transport between Copulas for Clustering Time Series},
year = {2016} }
TY - EJOUR
T1 - Optimal Transport between Copulas for Clustering Time Series
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/782
ER -
. (2016). Optimal Transport between Copulas for Clustering Time Series. IEEE SigPort. http://sigport.org/782
, 2016. Optimal Transport between Copulas for Clustering Time Series. Available at: http://sigport.org/782.
. (2016). "Optimal Transport between Copulas for Clustering Time Series." Web.
1. . Optimal Transport between Copulas for Clustering Time Series [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/782

Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems


Direction of arrival (DoA) estimation of high-resolution beams is critical for cell search and maintaining communication in millimeter wave (mmWave) cellular systems. All-digital solutions for DoA estimation, however desirable for their flexibility and performance, are impractical because of their use of high-speed, power hungry Analog-Digital Converters (ADCs) at each antenna element. In this paper we take a novel approach to formulate a fully digital DoA estimation solution.

Paper Details

Authors:
Ahmed Tewfik
Submitted On:
19 March 2016 - 7:07pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

ICASSP 2016 presentation ECE Final.pdf

(110 downloads)

Keywords

Subscribe

[1] Ahmed Tewfik, "Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/767. Accessed: May. 25, 2017.
@article{767-16,
url = {http://sigport.org/767},
author = {Ahmed Tewfik },
publisher = {IEEE SigPort},
title = {Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems},
year = {2016} }
TY - EJOUR
T1 - Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems
AU - Ahmed Tewfik
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/767
ER -
Ahmed Tewfik. (2016). Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems. IEEE SigPort. http://sigport.org/767
Ahmed Tewfik, 2016. Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems. Available at: http://sigport.org/767.
Ahmed Tewfik. (2016). "Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems." Web.
1. Ahmed Tewfik. Pilot Aided Direction of Arrival Estimation for mmWave Cellular Systems [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/767

TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS


Sound zones are two or more regions within a listening space where listeners are provided with personal audio. Acoustic contrast control (ACC) is a sound zoning method that maximizes the average squared sound pressure in one zone constrained to constant pressure in other zones. State-of-the-art time domain broadband acoustic contrast control (BACC) methods are designed for anechoic environments. These methods are not able to realize a flat frequency response in a limited frequency range within a reverberant environment.

Paper Details

Authors:
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen
Submitted On:
18 March 2016 - 11:35am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Schellekens 2016 - POSTER TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS.pdf

(115 downloads)

Keywords

Subscribe

[1] Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen, "TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/766. Accessed: May. 25, 2017.
@article{766-16,
url = {http://sigport.org/766},
author = {Daan H. M. Schellekens; Martin B. Møller; and Martin Olsen },
publisher = {IEEE SigPort},
title = {TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS},
year = {2016} }
TY - EJOUR
T1 - TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS
AU - Daan H. M. Schellekens; Martin B. Møller; and Martin Olsen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/766
ER -
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. (2016). TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS. IEEE SigPort. http://sigport.org/766
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen, 2016. TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS. Available at: http://sigport.org/766.
Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. (2016). "TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS." Web.
1. Daan H. M. Schellekens, Martin B. Møller, and Martin Olsen. TIME DOMAIN ACOUSTIC CONTRAST CONTROL IMPLEMENTATION OF SOUND ZONES FOR LOW-FREQUENCY INPUT SIGNALS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/766

A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER


In complex environments, the presence or absence of multipath signals not only depends on the relative motion between the GNSS receiver and navigation satellites, but also on the environment where the receiver is located. Thus it is difficult to use a specific propagation model to accurately capture the dynamics of multipath signal parameters when the GNSS receiver is moving in urban canyons or other severe obstructions. This paper introduces a statistical model for the line-of-sight and multipath signals received by a GNSS receiver.

Paper Details

Authors:
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret
Submitted On:
17 March 2016 - 12:01am
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

ICASSP_P.A_B1.pdf

(133 downloads)

Keywords

Additional Categories

Subscribe

[1] Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret, "A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/729. Accessed: May. 25, 2017.
@article{729-16,
url = {http://sigport.org/729},
author = {Cheng Cheng; Quan Pan; Vincent Calmettes; Jean-Yves Tourneret },
publisher = {IEEE SigPort},
title = {A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER},
year = {2016} }
TY - EJOUR
T1 - A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER
AU - Cheng Cheng; Quan Pan; Vincent Calmettes; Jean-Yves Tourneret
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/729
ER -
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. (2016). A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER. IEEE SigPort. http://sigport.org/729
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret, 2016. A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER. Available at: http://sigport.org/729.
Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. (2016). "A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER." Web.
1. Cheng Cheng, Quan Pan, Vincent Calmettes, Jean-Yves Tourneret. A MAXIMUM LIKELIHOOD-BASED UNSCENTED KALMAN FILTER FOR MULTIPATH MITIGATION IN A MULTI-CORRELATOR BASED GNSS RECEIVER [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/729

Pages