Signal Processing

Long-Term Spectral Pseudo-Entropy (LTSPE) Feature


This is the source code (MATLAB) of the LTSPE feature.

 

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Citation Author(s):
Submitted by:
mohammad rasoul...
Last updated:
Fri, 12/01/2017 - 08:44
DOI:
10.21227/H2G05K
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[1] , "Long-Term Spectral Pseudo-Entropy (LTSPE) Feature", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2G05K. Accessed: Dec. 12, 2017.
@data{h2g05k-17,
doi = {10.21227/H2G05K},
url = {http://dx.doi.org/10.21227/H2G05K},
author = { },
publisher = {IEEE Dataport},
title = {Long-Term Spectral Pseudo-Entropy (LTSPE) Feature},
year = {2017} }
TY - DATA
T1 - Long-Term Spectral Pseudo-Entropy (LTSPE) Feature
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2G05K
ER -
. (2017). Long-Term Spectral Pseudo-Entropy (LTSPE) Feature. IEEE Dataport. http://dx.doi.org/10.21227/H2G05K
, 2017. Long-Term Spectral Pseudo-Entropy (LTSPE) Feature. Available at: http://dx.doi.org/10.21227/H2G05K.
. (2017). "Long-Term Spectral Pseudo-Entropy (LTSPE) Feature." Web.
1. . Long-Term Spectral Pseudo-Entropy (LTSPE) Feature [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2G05K
. "Long-Term Spectral Pseudo-Entropy (LTSPE) Feature." doi: 10.21227/H2G05K

Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature


This is the source code (MATLAB) of the LTMBMCR feature.

 

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Citation Author(s):
Submitted by:
mohammad rasoul...
Last updated:
Fri, 12/01/2017 - 03:31
DOI:
10.21227/H2NW6G
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[1] , "Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2NW6G. Accessed: Dec. 12, 2017.
@data{h2nw6g-17,
doi = {10.21227/H2NW6G},
url = {http://dx.doi.org/10.21227/H2NW6G},
author = { },
publisher = {IEEE Dataport},
title = {Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature},
year = {2017} }
TY - DATA
T1 - Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2NW6G
ER -
. (2017). Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature. IEEE Dataport. http://dx.doi.org/10.21227/H2NW6G
, 2017. Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature. Available at: http://dx.doi.org/10.21227/H2NW6G.
. (2017). "Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature." Web.
1. . Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2NW6G
. "Long-Term Multi-Band Mean-Crossing Rate (LTMBMCR) Feature." doi: 10.21227/H2NW6G

Activities of Daily Living


Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Dataset Details

Citation Author(s):
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] , "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Dec. 12, 2017.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = { },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
ER -
. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
. (2017). "Activities of Daily Living." Web.
1. . Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
. "Activities of Daily Living." doi: 10.21227/H2PS74

Decoding local field potentials for neural interfaces


This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

The DataPort Repository contains the data used primarily for generating Figure 1.

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Citation Author(s):
Submitted by:
Thomas Hall
Last updated:
Thu, 10/12/2017 - 13:48
DOI:
10.21227/H2VW5Z
Data Format:
Links:
 
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[1] , "Decoding local field potentials for neural interfaces", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2VW5Z. Accessed: Dec. 12, 2017.
@data{h2vw5z-17,
doi = {10.21227/H2VW5Z},
url = {http://dx.doi.org/10.21227/H2VW5Z},
author = { },
publisher = {IEEE Dataport},
title = {Decoding local field potentials for neural interfaces},
year = {2017} }
TY - DATA
T1 - Decoding local field potentials for neural interfaces
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2VW5Z
ER -
. (2017). Decoding local field potentials for neural interfaces. IEEE Dataport. http://dx.doi.org/10.21227/H2VW5Z
, 2017. Decoding local field potentials for neural interfaces. Available at: http://dx.doi.org/10.21227/H2VW5Z.
. (2017). "Decoding local field potentials for neural interfaces." Web.
1. . Decoding local field potentials for neural interfaces [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2VW5Z
. "Decoding local field potentials for neural interfaces." doi: 10.21227/H2VW5Z

Source Separation for Simultaneous Seismic Data Acquisition


This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 


The submission period for this data competition has ended.

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Dataset Details

Citation Author(s):
Submitted by:
Yuejie Chi
Last updated:
Tue, 08/08/2017 - 10:53
DOI:
10.21227/H2TP46
Data Format:
 
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[1] , "Source Separation for Simultaneous Seismic Data Acquisition", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2TP46. Accessed: Dec. 12, 2017.
@data{h2tp46-17,
doi = {10.21227/H2TP46},
url = {http://dx.doi.org/10.21227/H2TP46},
author = { },
publisher = {IEEE Dataport},
title = {Source Separation for Simultaneous Seismic Data Acquisition},
year = {2017} }
TY - DATA
T1 - Source Separation for Simultaneous Seismic Data Acquisition
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2TP46
ER -
. (2017). Source Separation for Simultaneous Seismic Data Acquisition. IEEE Dataport. http://dx.doi.org/10.21227/H2TP46
, 2017. Source Separation for Simultaneous Seismic Data Acquisition. Available at: http://dx.doi.org/10.21227/H2TP46.
. (2017). "Source Separation for Simultaneous Seismic Data Acquisition." Web.
1. . Source Separation for Simultaneous Seismic Data Acquisition [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2TP46
. "Source Separation for Simultaneous Seismic Data Acquisition." doi: 10.21227/H2TP46

Real-life Power Quality Sags


The distributed generation, along with the deregulation of the Smart Grid, have created a great concern on Power Quality (PQ), as it has a direct impact on utilities and customers, as well as effects on the sinusoidal signal of the power line. The a priori unknown features of the distributed energy resources (DER) introduce non-linear behaviours in loads associated to a variety of PQ disturbances.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Thu, 05/11/2017 - 08:33
DOI:
10.21227/H2K88D
Data Format:
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[1] , "Real-life Power Quality Sags ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2K88D. Accessed: Dec. 12, 2017.
@data{h2k88d-17,
doi = {10.21227/H2K88D},
url = {http://dx.doi.org/10.21227/H2K88D},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Sags },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Sags
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2K88D
ER -
. (2017). Real-life Power Quality Sags . IEEE Dataport. http://dx.doi.org/10.21227/H2K88D
, 2017. Real-life Power Quality Sags . Available at: http://dx.doi.org/10.21227/H2K88D.
. (2017). "Real-life Power Quality Sags ." Web.
1. . Real-life Power Quality Sags [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2K88D
. "Real-life Power Quality Sags ." doi: 10.21227/H2K88D

Real-life Power Quality Transients


The aim of the database consists of providing the researchers with a collection of power quality real-life impulsive events to test experiments and measurement instruments. The dataset provides signals recordings from the power network of the University of Cádiz during the last five years (electrical network according to the UNE-EN-50160: 2011).

The dataset offers a diversity of real impulsive events, which are specifically acquired in order to test Power Quality Instruments according to the UNE-IEC 61000-4-11: 2005.

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Dataset Details

Citation Author(s):
Submitted by:
Juan Jose Gonza...
Last updated:
Thu, 05/11/2017 - 08:15
DOI:
10.21227/H2Q30W
Data Format:
Links:
 
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[1] , "Real-life Power Quality Transients ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2Q30W. Accessed: Dec. 12, 2017.
@data{h2q30w-17,
doi = {10.21227/H2Q30W},
url = {http://dx.doi.org/10.21227/H2Q30W},
author = { },
publisher = {IEEE Dataport},
title = {Real-life Power Quality Transients },
year = {2017} }
TY - DATA
T1 - Real-life Power Quality Transients
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2Q30W
ER -
. (2017). Real-life Power Quality Transients . IEEE Dataport. http://dx.doi.org/10.21227/H2Q30W
, 2017. Real-life Power Quality Transients . Available at: http://dx.doi.org/10.21227/H2Q30W.
. (2017). "Real-life Power Quality Transients ." Web.
1. . Real-life Power Quality Transients [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2Q30W
. "Real-life Power Quality Transients ." doi: 10.21227/H2Q30W

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: Dec. 12, 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

VAIS-1000: A Vietnamese Speech Synthesis Corpus


This data consists of 1000 studio-quality audios and their transcription for Vietnamese northern accent. 
Each utterance has a length of 14-18 words and is spoken by a single speaker.
The corpus can be used to create a Vietnamese speech synthesis system. A tutorial also available at https://vais.vn/vi/tai-ve/hts_for_vietnamese.

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Dataset Details

Citation Author(s):
Submitted by:
Truong Do
Last updated:
Wed, 02/15/2017 - 12:13
DOI:
10.21227/H2B887
Data Format:
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[1] , "VAIS-1000: A Vietnamese Speech Synthesis Corpus ", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2B887. Accessed: Dec. 12, 2017.
@data{h2b887-17,
doi = {10.21227/H2B887},
url = {http://dx.doi.org/10.21227/H2B887},
author = { },
publisher = {IEEE Dataport},
title = {VAIS-1000: A Vietnamese Speech Synthesis Corpus },
year = {2017} }
TY - DATA
T1 - VAIS-1000: A Vietnamese Speech Synthesis Corpus
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2B887
ER -
. (2017). VAIS-1000: A Vietnamese Speech Synthesis Corpus . IEEE Dataport. http://dx.doi.org/10.21227/H2B887
, 2017. VAIS-1000: A Vietnamese Speech Synthesis Corpus . Available at: http://dx.doi.org/10.21227/H2B887.
. (2017). "VAIS-1000: A Vietnamese Speech Synthesis Corpus ." Web.
1. . VAIS-1000: A Vietnamese Speech Synthesis Corpus [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2B887
. "VAIS-1000: A Vietnamese Speech Synthesis Corpus ." doi: 10.21227/H2B887

VideoSet


A new methodology to measure coded image/video quality using the just-noticeable-difference (JND) idea was proposed in [1].  Several small JND-based image/video quality datasets were released by the Media Communications Lab at the University of Southern California in [2, 3]. In this work, we present an effort to build a large-scale JND-based coded video quality dataset. The dataset consists of 220 5-second sequences in four resolutions (i.e., 1920x1080, 1280x720, 960x540, and 640x 360).

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Dataset Details

Citation Author(s):
Submitted by:
Haiqiang wang
Last updated:
Tue, 05/09/2017 - 14:15
DOI:
10.21227/H2H01C
Data Format:
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[1] , "VideoSet", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2H01C. Accessed: Dec. 12, 2017.
@data{h2h01c-16,
doi = {10.21227/H2H01C},
url = {http://dx.doi.org/10.21227/H2H01C},
author = { },
publisher = {IEEE Dataport},
title = {VideoSet},
year = {2016} }
TY - DATA
T1 - VideoSet
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2H01C
ER -
. (2016). VideoSet. IEEE Dataport. http://dx.doi.org/10.21227/H2H01C
, 2016. VideoSet. Available at: http://dx.doi.org/10.21227/H2H01C.
. (2016). "VideoSet." Web.
1. . VideoSet [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2H01C
. "VideoSet." doi: 10.21227/H2H01C

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