Signal processing interpolation educational workbench

Costa, Mónica Isabel Teixeira; Barroso, João; Soares, Salviano

doi:10.1002/cae.20402

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…In ref. , a software tool built using Matlab for the learning of signal processing interpolation‐related subjects, such as decimation oversampling, is presented. In ref.…”

Section: Related Workmentioning

confidence: 99%

An interactive approach for illustrating a proof of the sampling theorem using MATHEMATICA

Guerrero¹

2018

Comp Applic In Engineering

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Learning methods in engineering education should evolve to take advantage of the progress of technology. Despite being one of the most important theorems of engineering, at undergraduate level the foundations of sampling theorem are usually oversimplified, whereas at graduate level its proof is frequently presented in the context of a rigorous mathematical framework. This paper presents an interactive approach to illustrate an amenable proof of the sampling theorem through example. Apart from its practical value as a learning tool, the proof captures some mathematical subtleties that can help to understand some more advanced concepts. The goal of this work is to show that learning the sampling theorem through an interactive example of its mathematical proof can be an enjoyable and insightful experience.

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“…In ref. , a software tool built using Matlab for the learning of signal processing interpolation‐related subjects, such as decimation oversampling, is presented. In ref.…”

Section: Related Workmentioning

confidence: 99%

An interactive approach for illustrating a proof of the sampling theorem using MATHEMATICA

Guerrero¹

2018

Comp Applic In Engineering

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“…A thorough description of this maximum dimension algorithm can be found in (Costa et al, 2012). The Papoulis algorithm is still available to run but a new minimum dimension reconstruction algorithm was included like the one used in (Neves et al, 2008).…”

Section: Reconstruction Algorithmsmentioning

confidence: 99%

“…It is important to refer that q=2m + 1 where m is the sample bandwidth of the Low Pass Filter (LPF) (Costa et al, 2012). So Equation (11) can be rewritten as follows:…”

Section: Convergence Analysismentioning

confidence: 99%

“…In this paper a new version of the "Signal Processing Interpolation Educational Tool" (SPIEW) is presented (Costa et al, 2012). In the first version we propose a new and easy-to-use tool which will help students consolidate concepts of signal processing and complement their knowledge by enabling graphical results after using complex signal reconstruction algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Signal Processing Interpolation and Problem Conditioning Educational Workbench

Costa¹,

Soares²,

Barroso³

2013

MAS

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This work presents a newer and more complete version of an educational tool to be used in signal processing interpolation-related subjects. Besides the consolidation of acquired theoretical knowledge, the tool allows now its users to apply three error geometry patterns, test minimum or maximum dimension signal reconstruction algorithms and problem conditioning through the analysis of the matrix spectral radius or the condition number: these new features gives the possibility to alter the problem definitions to the desired goal before the reconstruction begins. The time unit that measures the algorithms performance is (nlogn) thus independent from the machine's architecture. A video of the developed tool can be seen in: https://www.dropbox.com/s/t6yiiuy31ramxse/FILME_1.avi.

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“…As a result of the rapid development in the computer world, concepts such as Computer Aided Engineering, Computer Aided Instruction, Computer Aided Learning (CAL), and Distance Education have currently gained significant place. In the literature, there are many studies belonging to the field of engineering [1,2]: communication , control , power electronics , electrical machines , robotics [21,22], signal processing [23,24], PLC , computer [26,27] etc.…”

Section: Introductionmentioning

confidence: 99%

A web‐based virtual power electronics laboratory

Yalçın

Vatansever

2015

Comp Applic In Engineering

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In the science and engineering, supporting theoretical knowledge with practical information is crucial. Thus, there are laboratory courses together with theoretical lectures in engineering education. However, laboratory applications can't give expected successful results because of insufficient laboratory environment of educational institutions, excessive number of students etc. Depending on the developments in the computer field, concepts such as computer aided education, computer‐assisted learning, computer‐aided engineering have gained importance. In the carried out study, remote accessible virtual laboratory consisting of six modules is designed for power electronics courses. Realized software which can run online or offline and includes almost forty circuits (rectifiers, dc–dc converters, ac–ac converters, dc–ac converters, power supplies) belongs to power electronics field. Detailed analysis and applications can be realized with the virtual laboratory which also contains description of subjects, animations, online support, environment for preparing lab reports etc. The software is available in Uludag University, 111 undergraduate students and 17 faculty members tested it separately without requesting their personal information. Obtained results from two questionnaires are evaluated here. © 2015 Wiley Periodicals, Inc. Comput. Appl. Eng. Educ. 24:71–78, 2016; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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Signal processing interpolation educational workbench

Cited by 6 publications

References 6 publications

An interactive approach for illustrating a proof of the sampling theorem using MATHEMATICA

An interactive approach for illustrating a proof of the sampling theorem using MATHEMATICA

Signal Processing Interpolation and Problem Conditioning Educational Workbench

A web‐based virtual power electronics laboratory

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