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4. Retrieving sinusoids from nonuniformly sampled data using recursive formulation

Author

Maric, Ivan

Subjects
Computer Science - Information Theory, Computer Science - Learning
Abstract

A heuristic procedure based on novel recursive formulation of sinusoid (RFS) and on regression with predictive least-squares (LS) enables to decompose both uniformly and nonuniformly sampled 1-d signals into a sparse set of sinusoids (SSS). An optimal SSS is found by Levenberg-Marquardt (LM) optimization of RFS parameters of near-optimal sinusoids combined with common criteria for the estimation of the number of sinusoids embedded in noise. The procedure estimates both the cardinality and the parameters of SSS. The proposed algorithm enables to identify the RFS parameters of a sinusoid from a data sequence containing only a fraction of its cycle. In extreme cases when the frequency of a sinusoid approaches zero the algorithm is able to detect a linear trend in data. Also, an irregular sampling pattern enables the algorithm to correctly reconstruct the under-sampled sinusoid. Parsimonious nature of the obtaining models opens the possibilities of using the proposed method in machine learning and in expert and intelligent systems needing analysis and simple representation of 1-d signals. The properties of the proposed algorithm are evaluated on examples of irregularly sampled artificial signals in noise and are compared with high accuracy frequency estimation algorithms based on linear prediction (LP) approach, particularly with respect to Cramer-Rao Bound (CRB)., Comment: 16 pages, 17 figures, Expert Systems with Applications - published

Published
2016
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7. e-IRG Communiqué on the e-IRG Workshop under German EU Presidency, 1-2 December 2020

Author

Herdegen, Andrea, Budroni, Paolo, Pagaime, Joao, Maric, Ivan, Genova, Francoise, Argyrakis, Panagiotis, Hanslik, Stefan, von Voigt, Gabriele, Wiebelitz, Jan, Karayannis, Fotis, and Maragakis, Michael

Subjects
e-IRG, e-Infrastructure Reflection Group, e-Infrastructure Commons, Research Data Infrastructures, EOSC, European Open Science Cloud, FAIR data, Digital transformation, Public Health, Green Deal, Common Digital Future
Abstract

The e-IRG Workshop, organised in the framework of the German EU Presidency, took place on 1.- 2. December 2020. The Workshop was implemented as three virtual sessions with the overall theme ofhow e-Infrastructures can support addressing societal challenges,including public health and climate change. Presentations ranged from institutional to national, EU and international levels, and from users to providers, and policy makers/funders perspectives. The presentations of the workshop were selected in order to reflect on the current developments in the e-Infrastructures domain, including the European Open Science Cloud (EOSC), High Performance Computing (PRACE and EuroHPC) and networking, and how these are linked with some of the societal challenges in different thematic areas. The three main topics addressed were i)Research Data Infrastructures, as data is the common denominator both within e-Infrastructures and across e-Infrastructures and thematic infrastructures, ii)The support of e-Infrastructures to the digital transformation in the health sector, where the COVID-19 pandemic has accelerated and amplified processes, and iii) one of the biggest challenges for mankind ahead, i.e. the climate change, and theimpact and benefits of e-Infrastructures in support of the EU Green deal policy,i.e. to become “climate neutral” by 2050 (without greenhouse gases).

Published
2021
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8. e-IRG Communiqué on the e-IRG Workshop under Portuguese EU Presidency, 25-25 May 2021

Author

Pagaime, Joao, Budroni, Paolo, Araujo, Elana, Argyrakis, Panagiotis, Maric, Ivan, von Voigt, Gabriele, Herdegen, Andrea, Wiebelitz, Jan, Karayannis, Fotis, and Maragakis, Michael

Subjects
e-IRG, e-Infrastructure Reflection Group, e-Infrastructure Commons, EOSC, European Open Science Cloud, Digital Transition, Climate Change, data interoperability, PIDs, FAIR data, Persistent Identifiers, FAIRDO, FAIR Digital Objects
Abstract

The unifying goal of the e-IRG Workshop organized in the framework of the Portuguese EU Presidencywas toaddress thee-Infrastructures for Climate Change and Digital Transitions, ranging from Member States/Associated Countries to European and international level, and from provider to user level. The event was conducted as a series of three (3) webinars, each of them addressing one of the top challenges the e-infrastructures face in an ever changing and transforming environment. The first webinar session was on “EOSC data and interoperability”, the second on “Addressing climate change – the digital aspects”, and the third one on “Going beyond: How policies can shape the development of research infrastructures facilitating data sovereignty, innovation and cultural change“.

Published
2021
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9. e-IRG Communiqué on the e-IRG Workshop under Croatian EU Presidency, 25-26 May 2020

Author

Maric, Ivan, Budroni, Paolo, Blanquer, Ignacio, Argyrakis, Panagiotis, von Voigt, Gabriele, Wiebelitz, Jan, Karayannis, Fotis, and Maragakis, Michael

Subjects
e-IRG, e-Infrastructure Reflection Group, e-Infrastructures, Skill development, EOSC partnerships, Open Science, FAIR data, European Research Area
Abstract

Thee-IRG workshoporganised within the framework of the Croatian EU Presidency was conducted as a series of three webinars, each of them addressing one of the top challenges for the further development of e-Infrastructures in the Europe Research Area and beyond: development of adequate skills, partnerships between related stakeholders within and across national boundaries, and sharing of data under the FAIR principles, within and across scientific domains, institutionsand countries. &nbsp

Published
2020
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17. Beyond the Foreclosure Crisis

Author

Mikelbank, Brian A., Post, Charles, Maric, Ivan, Bier, Thomas, Mikelbank, Brian A., Post, Charles, Maric, Ivan, and Bier, Thomas

Abstract

Research for the City Council of Cleveland on the housing market, foreclosures, and home equity. The results of the foreclosure impact study were discussed at the council meeting on November 11, 2008.

Published
2008

18. The Sky isn’t Falling Everywhere

Author

Mikelbank, Brian, Post, Charlie, Maric, Ivan, Mikelbank, Brian, Post, Charlie, and Maric, Ivan

Abstract

This report looks at the consequences of treating Cuyahoga County’s housing market as “one market” versus a shrinking but relatively price stable market and a submarket plagued by abandonment and foreclosure. Brian Mikelbank was interviewed about the study on WCPN. org on Tuesday, November 11, 2008.

Published
2008

21. A Preliminary Assessment of the New Home Seller Capital Gains Law

Author

Bier, Thomas, Maric, Ivan, Weizer, Winifred, Bier, Thomas, Maric, Ivan, and Weizer, Winifred

Abstract

in price without incurring a tax liability. The previous law was critiqued as detrimental to cities by promoting out-migration to higher-priced homes; it was asserted that the requirement that sellers buy a home equal to or greater than the value of the one they sold to defer tax liability obstructed movement down in price. This study asked whether movement down in price increased in four Ohio cities after the law was changed and whether movement out of the central cities decreased and movement in from the suburbs increased. Statistically significant change in movement down was found in only one city. Movement up in price and outward dominated all four areas. The study produced no direct evidence of the factors that influenced seller-buyer move decisions. The process of life-course change—younger households moving up to larger, move expensive homes and older households moving down to smaller, less expensive properties—was probably the driving force.

Published
2000

22. The Value Impact of Neighborhood Transition on Residential Sales Price

Author

Simons, Robert A., Maric, Ivan, Querica, Roberto, Simons, Robert A., Maric, Ivan, and Querica, Roberto

Abstract

The topic of neighborhood redevelopment is central to residential appraisal and the lending process. We examine both the effect of neighborhood upgrading and decline, captured by subsidized new residential construction and sustained property tax delinquency respectively, on the sales price of one-to-two family homes. The research uses a two stage hedonic price model of 12,100 individual residential sales in Cleveland, Ohio during 1992-94. Results show a significant positive effect of $670 on the sales price of existing housing for each new unit built in a one-to-two block area. A decrease in sales price of $778 is associated with a 1% increase in the tax delinquency rate. The spatial variability of these effects is also explored.

Published
1998

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