Digital signal processing

The experiment results on HELEN and LFW datasets.


The datasets are composed of the experimental results of my paper submitted to TMM on HELEN and LFW datasets.

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Dataset Details

Citation Author(s):
Submitted by:
lei zhou
Last updated:
Thu, 11/23/2017 - 02:30
DOI:
10.21227/H29K9D
Data Format:
 
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[1] , "The experiment results on HELEN and LFW datasets.", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H29K9D. Accessed: Nov. 24, 2017.
@data{h29k9d-17,
doi = {10.21227/H29K9D},
url = {http://dx.doi.org/10.21227/H29K9D},
author = { },
publisher = {IEEE Dataport},
title = {The experiment results on HELEN and LFW datasets.},
year = {2017} }
TY - DATA
T1 - The experiment results on HELEN and LFW datasets.
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H29K9D
ER -
. (2017). The experiment results on HELEN and LFW datasets.. IEEE Dataport. http://dx.doi.org/10.21227/H29K9D
, 2017. The experiment results on HELEN and LFW datasets.. Available at: http://dx.doi.org/10.21227/H29K9D.
. (2017). "The experiment results on HELEN and LFW datasets.." Web.
1. . The experiment results on HELEN and LFW datasets. [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H29K9D
. "The experiment results on HELEN and LFW datasets.." doi: 10.21227/H29K9D

Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink


The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.

 

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Wed, 11/15/2017 - 21:09
DOI:
10.21227/H2463S
Data Format:
Links:
 
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[1] , "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2463S. Accessed: Nov. 24, 2017.
@data{h2463s-17,
doi = {10.21227/H2463S},
url = {http://dx.doi.org/10.21227/H2463S},
author = { },
publisher = {IEEE Dataport},
title = {Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink},
year = {2017} }
TY - DATA
T1 - Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2463S
ER -
. (2017). Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H2463S
, 2017. Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. Available at: http://dx.doi.org/10.21227/H2463S.
. (2017). "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." Web.
1. . Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2463S
. "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." doi: 10.21227/H2463S

Study on Three-Phase Photovoltaic Systems under Grid Faults


The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Sun, 10/22/2017 - 08:18
DOI:
10.21227/H25633
Data Format:
Links:
 
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[1] , "Study on Three-Phase Photovoltaic Systems under Grid Faults", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25633. Accessed: Nov. 24, 2017.
@data{h25633-17,
doi = {10.21227/H25633},
url = {http://dx.doi.org/10.21227/H25633},
author = { },
publisher = {IEEE Dataport},
title = {Study on Three-Phase Photovoltaic Systems under Grid Faults},
year = {2017} }
TY - DATA
T1 - Study on Three-Phase Photovoltaic Systems under Grid Faults
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25633
ER -
. (2017). Study on Three-Phase Photovoltaic Systems under Grid Faults. IEEE Dataport. http://dx.doi.org/10.21227/H25633
, 2017. Study on Three-Phase Photovoltaic Systems under Grid Faults. Available at: http://dx.doi.org/10.21227/H25633.
. (2017). "Study on Three-Phase Photovoltaic Systems under Grid Faults." Web.
1. . Study on Three-Phase Photovoltaic Systems under Grid Faults [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25633
. "Study on Three-Phase Photovoltaic Systems under Grid Faults." doi: 10.21227/H25633

Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink


This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Thu, 10/19/2017 - 10:36
DOI:
10.21227/H28W5P
Data Format:
Links:
 
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[1] , "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H28W5P. Accessed: Nov. 24, 2017.
@data{h28w5p-17,
doi = {10.21227/H28W5P},
url = {http://dx.doi.org/10.21227/H28W5P},
author = { },
publisher = {IEEE Dataport},
title = {Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink},
year = {2017} }
TY - DATA
T1 - Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H28W5P
ER -
. (2017). Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H28W5P
, 2017. Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. Available at: http://dx.doi.org/10.21227/H28W5P.
. (2017). "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." Web.
1. . Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H28W5P
. "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." doi: 10.21227/H28W5P

A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems


This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Thu, 10/19/2017 - 10:32
DOI:
10.21227/H2DP80
Data Format:
Links:
 
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[1] , "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2DP80. Accessed: Nov. 24, 2017.
@data{h2dp80-17,
doi = {10.21227/H2DP80},
url = {http://dx.doi.org/10.21227/H2DP80},
author = { },
publisher = {IEEE Dataport},
title = {A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2DP80
ER -
. (2017). A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H2DP80
, 2017. A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H2DP80.
. (2017). "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." Web.
1. . A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2DP80
. "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." doi: 10.21227/H2DP80

Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods


This work aims to implement in Matlab and Simulink the perturb-and-observe (P&O) and incremental conductance Maximum Power Point Tracking (MPPT) algorithms that are published in the scientific literature.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Sun, 10/22/2017 - 08:21
DOI:
10.21227/H2JD0F
Data Format:
Links:
 
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[1] , "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2JD0F. Accessed: Nov. 24, 2017.
@data{h2jd0f-17,
doi = {10.21227/H2JD0F},
url = {http://dx.doi.org/10.21227/H2JD0F},
author = { },
publisher = {IEEE Dataport},
title = {Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods},
year = {2017} }
TY - DATA
T1 - Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2JD0F
ER -
. (2017). Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. IEEE Dataport. http://dx.doi.org/10.21227/H2JD0F
, 2017. Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. Available at: http://dx.doi.org/10.21227/H2JD0F.
. (2017). "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." Web.
1. . Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2JD0F
. "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." doi: 10.21227/H2JD0F

Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems


Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems

This work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition.

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Citation Author(s):
Submitted by:
Ioan Viorel Banu
Last updated:
Wed, 10/18/2017 - 14:47
DOI:
10.21227/H29W6C
Data Format:
Links:
 
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[1] , "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H29W6C. Accessed: Nov. 24, 2017.
@data{h29w6c-17,
doi = {10.21227/H29W6C},
url = {http://dx.doi.org/10.21227/H29W6C},
author = { },
publisher = {IEEE Dataport},
title = {Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H29W6C
ER -
. (2017). Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H29W6C
, 2017. Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H29W6C.
. (2017). "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." Web.
1. . Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H29W6C
. "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." doi: 10.21227/H29W6C

Costas arrays and enumeration to order 1030


Costas arrays are permutation matrices that meet the added Costas condition that, when used as a frequency-hop scheme, allow at most one time-and-frequency-offset signal bin to overlap another.  Databases to various orders have been available for many years.  Here we have a database that is far more extensive than any available before it.  A very powerful and easy-to-use Windows utility with a GUI accompanies the database.

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Citation Author(s):
Submitted by:
James Beard
Last updated:
Mon, 05/08/2017 - 14:10
DOI:
10.21227/H21P42
Data Format:
Links:
 
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[1] , "Costas arrays and enumeration to order 1030", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H21P42. Accessed: Nov. 24, 2017.
@data{h21p42-17,
doi = {10.21227/H21P42},
url = {http://dx.doi.org/10.21227/H21P42},
author = { },
publisher = {IEEE Dataport},
title = {Costas arrays and enumeration to order 1030},
year = {2017} }
TY - DATA
T1 - Costas arrays and enumeration to order 1030
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H21P42
ER -
. (2017). Costas arrays and enumeration to order 1030. IEEE Dataport. http://dx.doi.org/10.21227/H21P42
, 2017. Costas arrays and enumeration to order 1030. Available at: http://dx.doi.org/10.21227/H21P42.
. (2017). "Costas arrays and enumeration to order 1030." Web.
1. . Costas arrays and enumeration to order 1030 [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H21P42
. "Costas arrays and enumeration to order 1030." doi: 10.21227/H21P42

Walsh Spectrum Analysis on Sampling Distributions


The dataset stores a random sampling distribution with cardinality of support of 4,294,967,296 (i.e., two raised to the power of thirty-two). Specifically, the source generator is fixed as a symmetric-key cryptographic function with 64-bit input and 32-bit output. A total of 17,179,869,184 (i.e., two raised to the power of thirty-four) randomly chosen inputs are used to produce the sampling distribution as the dataset. The integer-valued sampling distribution is formatted as 4,294,967,296 (i.e., two raised to the power of thirty-two) entries, and each entry occupies one byte in storage.

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Citation Author(s):
Submitted by:
Yi LU
Last updated:
Sat, 04/08/2017 - 23:06
DOI:
10.21227/H2RC7M
Data Format:
 
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[1] , "Walsh Spectrum Analysis on Sampling Distributions", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2RC7M. Accessed: Nov. 24, 2017.
@data{h2rc7m-17,
doi = {10.21227/H2RC7M},
url = {http://dx.doi.org/10.21227/H2RC7M},
author = { },
publisher = {IEEE Dataport},
title = {Walsh Spectrum Analysis on Sampling Distributions},
year = {2017} }
TY - DATA
T1 - Walsh Spectrum Analysis on Sampling Distributions
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2RC7M
ER -
. (2017). Walsh Spectrum Analysis on Sampling Distributions. IEEE Dataport. http://dx.doi.org/10.21227/H2RC7M
, 2017. Walsh Spectrum Analysis on Sampling Distributions. Available at: http://dx.doi.org/10.21227/H2RC7M.
. (2017). "Walsh Spectrum Analysis on Sampling Distributions." Web.
1. . Walsh Spectrum Analysis on Sampling Distributions [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2RC7M
. "Walsh Spectrum Analysis on Sampling Distributions." doi: 10.21227/H2RC7M

HazeRD: an outdoor dataset for dehazing algorithms


HazeRD is an outdoor scene dataset for benchmarking dehazing algorithms. HazeRD contains 10 different scenes based on the architectural biometrics project. For each scene, the ground RGB images, depth maps, and synthesized hazy images following the atmospheric optics are provided; the hazy images come with five different haze level using real life physical parameters. The main features of HazeRD to other dehazing datasets are: HazeRD focuses on outdoor scenes whereas other datasets provide indoor scenes; and, the synthesis is based on real life parameters. 

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Dataset Details

Citation Author(s):
Submitted by:
Yanfu Zhang
Last updated:
Mon, 01/30/2017 - 17:04
DOI:
10.21227/H2001Q
Data Format:
 
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[1] , "HazeRD: an outdoor dataset for dehazing algorithms", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2001Q. Accessed: Nov. 24, 2017.
@data{h2001q-17,
doi = {10.21227/H2001Q},
url = {http://dx.doi.org/10.21227/H2001Q},
author = { },
publisher = {IEEE Dataport},
title = {HazeRD: an outdoor dataset for dehazing algorithms},
year = {2017} }
TY - DATA
T1 - HazeRD: an outdoor dataset for dehazing algorithms
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2001Q
ER -
. (2017). HazeRD: an outdoor dataset for dehazing algorithms. IEEE Dataport. http://dx.doi.org/10.21227/H2001Q
, 2017. HazeRD: an outdoor dataset for dehazing algorithms. Available at: http://dx.doi.org/10.21227/H2001Q.
. (2017). "HazeRD: an outdoor dataset for dehazing algorithms." Web.
1. . HazeRD: an outdoor dataset for dehazing algorithms [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2001Q
. "HazeRD: an outdoor dataset for dehazing algorithms." doi: 10.21227/H2001Q

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