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Artículos de revistas sobre el tema "MATLAB"

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Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 12 de octubre de 2024

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1

Spiegelman, C. H. "MATLAB and the MATLAP Optimization Toolbok (Macintosh Version)". Chemometrics and Intelligent Laboratory Systems 19, n.º 1 (mayo de 1993): 128. http://dx.doi.org/10.1016/0169-7439(93)80090-5.

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2

Schreiber, Rob. "MATLAB". Scholarpedia 2, n.º 7 (2007): 2929. http://dx.doi.org/10.4249/scholarpedia.2929.

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3

Beardah, Christian. "MATLAB 6 and Student Version of MATLAB". MSOR Connections 1, n.º 4 (noviembre de 2001): 36–40. http://dx.doi.org/10.11120/msor.2001.01040036.

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4

Dubrau, Anton Willy y Laurie Jane Hendren. "Taming MATLAB". ACM SIGPLAN Notices 47, n.º 10 (15 de noviembre de 2012): 503–22. http://dx.doi.org/10.1145/2398857.2384653.

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5

Maryanti, Indra. "APPLICATION OF MATHLAB APPLICATIONS IN IMPROVING STUDENT COMPETENCE UMSU MATHEMATICS EDUCATION STUDY PROGRAM NUMERICAL METHOD COURSE 2019-2020 ACADEMIC YEAR". International Journal of Educational Review, Law And Social Sciences (IJERLAS) 1, n.º 2 (22 de noviembre de 2021): 221–26. http://dx.doi.org/10.54443/ijerlas.v1i2.91.

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This study aims to describe the role of MATHLAB software in numerical method lectures, improve students' ability to solve numerical problems through learning assisted by MATHLAB software, improve students' abilities in formulating algorithms through learning assisted by MATHLAB software, improve students' abilities in programming through assisted learning MATLAB software; and describing student responses after numerical learning assisted by MATLAB software. This research is a quantitative research. To prove the hypothesis and answer the problems in this study, several statistical tests were carried out as follows:1. Test the description of the data, namely: making a data frequency table, testing the average value, and standard deviation.2. Prerequisite test, namely: normality test with Liliefors table and homogeneity test.3. Hypothesis testing, namely: statistical tests to see how much improvement in student competence is using the MATLAB software application in the numerical method course. The tests used are regression and correlation tests to see the increase in student competence using the MATLAB software application. The research method used is experimental. The population of this research is UMSU 7th semester students in the 2019/2020 academic year as many as 98 students.

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6

Foster, Kenneth R. "Matlab made easier and Testing with Matlab [Software Resources]". IEEE Spectrum 38, n.º 2 (febrero de 2001): 87–89. http://dx.doi.org/10.1109/mspec.2001.8820115.

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7

DOERR, CHRISTOPHER R. "MATLAB for Beginners". Optics and Photonics News 10, n.º 7 (1 de julio de 1999): 41. http://dx.doi.org/10.1364/opn.10.7.000041.

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8

Römer, G. R. B. E. y A. J. Huis in ’t Veld. "Matlab Laser Toolbox". Physics Procedia 5 (2010): 413–19. http://dx.doi.org/10.1016/j.phpro.2010.08.068.

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9

Kadlec, J. y J. Kadlec. "MATLAB Transputer Bridge". IFAC Proceedings Volumes 27, n.º 8 (julio de 1994): 1627. http://dx.doi.org/10.1016/s1474-6670(17)47952-3.

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10

Marcotte, Denis. "Cokriging with matlab". Computers & Geosciences 17, n.º 9 (1991): 1265–80. http://dx.doi.org/10.1016/0098-3004(91)90028-c.

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11

Funt, Brian, Florian Ciurea y John McCann. "Retinex in Matlab". Color and Imaging Conference 8, n.º 1 (1 de enero de 2000): 112–21. http://dx.doi.org/10.2352/cic.2000.8.1.art00022.

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12

Verboven, Sabine y Mia Hubert. "MATLAB library LIBRA". Wiley Interdisciplinary Reviews: Computational Statistics 2, n.º 4 (22 de abril de 2010): 509–15. http://dx.doi.org/10.1002/wics.96.

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13

Veettikazhy, Madhu, Anders Kragh Hansen, Dominik Marti, Stefan Mark Jensen, Anja Lykke Borre, Esben Ravn Andresen, Kishan Dholakia y Peter Eskil Andersen. "BPM-Matlab: an open-source optical propagation simulation tool in MATLAB". Optics Express 29, n.º 8 (31 de marzo de 2021): 11819. http://dx.doi.org/10.1364/oe.420493.

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14

Pekh, P., S. Lavrenchuk, O. Miskevych y R. Diachenko. "Порівняльний аналіз методів розв’язування диференціальних рівнянь засобами Matlab та Matlab Simulink." COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, n.º 48 (1 de octubre de 2022): 103–10. http://dx.doi.org/10.36910/6775-2524-0560-2022-48-16.

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В статті зроблена спроба проаналізувати методи розв’язування диференціальних рівнянь засобами Matlab та Matlab Simulink. Наведені коди програм, структурні схеми та результати моделювання двох диференціальних рівнянь.

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15

Gayev, Ye. "MATLAB-PROJECT “ANALOGUE WATCH”". Information Technologies in Education 4, n.º 41 (diciembre de 2019): 34–47. http://dx.doi.org/10.14308/ite000707.

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16

Shrivastava, P. "Cloud Detection with MATLAB". Journal of Engineering Science and Technology Review 6, n.º 1 (febrero de 2013): 68–71. http://dx.doi.org/10.25103/jestr.061.13.

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17

M. Africa, Aaron Don. "Face Recognition Using MATLAB". International Journal of Advanced Trends in Computer Science and Engineering 8, n.º 1.4 (15 de septiembre de 2019): 1110–16. http://dx.doi.org/10.30534/ijatcse/2019/17842019.

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18

KIM, Youngtae. "Physics Simulations with MATLAB". Physics and High Technology 23, n.º 4 (30 de abril de 2014): 29. http://dx.doi.org/10.3938/phit.23.014.

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19

Voona, Venkata Nitin, Ennapureddy Sathwik, Tamire Satya Jayanth y Thatikonda Rohan. "Brain Segmentation using MATLAB". International Journal of Innovative Technology and Exploring Engineering 11, n.º 8 (30 de julio de 2022): 43–49. http://dx.doi.org/10.35940/ijitee.h9164.0711822.

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A surprising mass of tissue wherein some cells duplicates and develops wildly is calledcerebrum growth. It should be identified at a beginning phase utilizing X-ray or CT checked pictures when it is just about as little as conceivable in light of the fact that the growth might perhaps result to malignant growth. This paper, for the most part centers around identifying and limiting the growth locale existing in the cerebrum by proposed philosophy utilizing patient’s X-ray pictures. The proposed procedure comprises of different stages which assume an alternate parts to deliver the examination with at most precision. division is applied to obviously show the growth impacted locale in the X-ray pictures. There are two main objectives of our project: 1) To analyze brain tumor 2) If there is, specify the location of the tumor.

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20

Roberg, Penina, Gunnar Backstrom y Patrick Marchand. "Practical Mathematics Using MATLAB". Mathematical Gazette 81, n.º 491 (julio de 1997): 321. http://dx.doi.org/10.2307/3619232.

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21

Shiu, P., K. Chen, P. J. Giblin y A. Irving. "Mathematical Explorations with MATLAB". Mathematical Gazette 83, n.º 498 (noviembre de 1999): 558. http://dx.doi.org/10.2307/3621015.

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22

Pamungkas, Wahyu, Anggun Fitrian Isnawati y Adi Kurniawan. "Modulasi Digital Menggunakan Matlab". JURNAL INFOTEL - Informatika Telekomunikasi Elektronika 4, n.º 2 (10 de noviembre de 2012): 1. http://dx.doi.org/10.20895/infotel.v4i2.102.

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In telecommunication systems, the determination of the modulation system is an important method in the process of sending information from transmitter to receiver. In the simulation that is done using QPSK modulation system (Quadrature Phase Shift Keying), 8-QAM (Quadrature Amplitude Modulation), 16-QAM (16-Quadrature Amplitude Modulation) that uses AWGN (Additive White Gaussian Noise) channel in the transmission system uses MATLAB software. The execution of the simulation is aimed to describe how the characteristics of the waveform of each block of the modulator, to add noise in the AWGN channel and demodulator. Performance of modulation system testing is used BER (bit error ratio) method. Looking of the faults of comparison bits results of before and after the transmitted bits by using Monte Carlo simulation model. Testing on this simulation using the input data as much as 10.000 data symbols randomly and the level of Eb/No that is various for each modulation used. Performance results BER with the level of Eb / No at 1 dB of the simulated system modulation on the BER values obtained for QPSK 0.0570, 8-QAM at 0.1085 while the 16-QAM at 0.1582 and then the performance of QPSK modulation is the best. If the Eb / No is increased to 8 dB then the becomes BER QPSK smaller modulation is equal to 0.00035, the 8-QAM BER obtained at 0.0076, while the 16-QAM modulation to be 0.0139

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23

Aziz, Siti Hawa. "Polynomial Interpolation in Matlab". Journal of Engineering and Science Research 2, n.º 4 (10 de agosto de 2018): 12–19. http://dx.doi.org/10.26666/rmp.jesr.2018.4.3.

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The problem of constructing such a continuous function is called data fitting. Many times, data given only at discrete points. With interpolation, we seek a function that allows us to approximate f(x) such that functional values between the original data set values may be determined. The process of finding such a polynomial is called interpolation and one of the most important approaches used are Lagrange interpolating formula. In this study, researcher determining the polynomial interpolation by using Lagrange interpolating formula. Then, a mathematical modelling was built by using MATLAB programming to determine the polynomial interpolation for a given points using the Lagrange method. The result of the study showed that the manual calculating and the MATLAB mathematical modelling will give the same answer for evaluated x and graph.

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24

Siddiqui, Arsheen Neda. "Digital watermarking using MATLAB". Global Sci-Tech 10, n.º 4 (2018): 242. http://dx.doi.org/10.5958/2455-7110.2018.00034.4.

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25

Szymczyk, Magdalena y Piotr Szymczyk. "Matlab and Parallel Computing". Image Processing & Communications 17, n.º 4 (1 de diciembre de 2012): 207–16. http://dx.doi.org/10.2478/v10248-012-0048-5.

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Abstract The MATLAB is a technical computing language used in a variety of fields, such as control systems, image and signal processing, visualization, financial process simulations in an easy-to-use environment. MATLAB offers "toolboxes" which are specialized libraries for variety scientific domains, and a simplified interface to high-performance libraries (LAPACK, BLAS, FFTW too). Now MATLAB is enriched by the possibility of parallel computing with the Parallel Computing ToolboxTM and MATLAB Distributed Computing ServerTM. In this article we present some of the key features of MATLAB parallel applications focused on using GPU processors for image processing.

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26

Dunn, Peter K. y Chris Harman. "Calculus demonstrations using MATLAB". International Journal of Mathematical Education in Science and Technology 33, n.º 4 (julio de 2002): 584–96. http://dx.doi.org/10.1080/002073902320300856.

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27

Funt, Brian. "Retinex in MATLAB™". Journal of Electronic Imaging 13, n.º 1 (1 de enero de 2004): 48. http://dx.doi.org/10.1117/1.1636761.

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28

Kurasov, D. "Mathematical modeling system MatLab". Journal of Physics: Conference Series 1691 (noviembre de 2020): 012123. http://dx.doi.org/10.1088/1742-6596/1691/1/012123.

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29

Nkwocha, Fidel y Sebastian Elbaum. "Fault patterns in Matlab". ACM SIGSOFT Software Engineering Notes 30, n.º 4 (julio de 2005): 1–4. http://dx.doi.org/10.1145/1082983.1083235.

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30

Kovarik, Martin y Petr Klimek. "Cluster Analysis in MATLAB". Informační Bulletin České statistické společnosti 22, n.º 1 (2011): 20–27. http://dx.doi.org/10.5300/ib/2011-1/20.

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31

Moler, Cleve y Jack Little. "A history of MATLAB". Proceedings of the ACM on Programming Languages 4, HOPL (12 de junio de 2020): 1–67. http://dx.doi.org/10.1145/3386331.

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32

Travinin Bliss, N. y J. Kepner. "'pMATLAB Parallel MATLAB Library'". International Journal of High Performance Computing Applications 21, n.º 3 (agosto de 2007): 336–59. http://dx.doi.org/10.1177/1094342007078446.

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33

Luszczek, Piotr. "Parallel Programming in MATLAB". International Journal of High Performance Computing Applications 23, n.º 3 (16 de junio de 2009): 277–83. http://dx.doi.org/10.1177/1094342009106194.

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A visit to the neighborhood PC retail store provides ample proof that we are in the multi-core era. The key differentiator among manufacturers today is the number of cores that they pack onto a single chip. The clock frequency of commodity processors has reached its limit, however, and is likely to stay below 4 GHz for years to come. As a result, adding cores is not synonymous with increasing computational power. To take full advantage of the performance enhancements offered by the new multi-core hardware, a corresponding shift must take place in the software infrastructure — a shift to parallel computing.

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34

Shampine, L. F. y S. Thompson. "Solving DDEs in Matlab". Applied Numerical Mathematics 37, n.º 4 (junio de 2001): 441–58. http://dx.doi.org/10.1016/s0168-9274(00)00055-6.

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35

Gautschi, Walter. "Orthogonal polynomials (in Matlab)". Journal of Computational and Applied Mathematics 178, n.º 1-2 (junio de 2005): 215–34. http://dx.doi.org/10.1016/j.cam.2004.03.029.

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36

Shacham, Mordechai. "Scientific Computing with MATLAB". Computer Physics Communications 161, n.º 3 (agosto de 2004): 183–85. http://dx.doi.org/10.1016/j.cpc.2004.02.017.

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37

Sobie, E. A. "An Introduction to MATLAB". Science Signaling 4, n.º 191 (13 de septiembre de 2011): tr7. http://dx.doi.org/10.1126/scisignal.2001984.

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38

Kathrani, Kunal, Piyush Agrawal y Khushi Khanchandani. "CAPTCHA Cracker using MATLAB". International Journal of Computer Applications 139, n.º 13 (15 de abril de 2016): 20–23. http://dx.doi.org/10.5120/ijca2016909531.

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39

Paramesh, G., K. V. Pavithra, N. Ranjitha, S. Swetha y T. Anushalalitha. "Video Steganography using MATLAB". EAI Endorsed Transactions on Cloud Systems 3, n.º 10 (20 de diciembre de 2017): 153493. http://dx.doi.org/10.4108/eai.20-12-2017.153493.

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40

Sayood, Khalid. "Learning Programming Using MATLAB". Synthesis Lectures on Electrical Engineering 1, n.º 1 (enero de 2006): 1–88. http://dx.doi.org/10.2200/s00051ed1v01y200609eel003.

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41

Alexandrov, Albert, Yuri Orlov y Liubov Mikhaylova. "Package “Automatica” for MATLAB*". IFAC Proceedings Volumes 45, n.º 16 (julio de 2012): 1832–37. http://dx.doi.org/10.3182/20120711-3-be-2027.00043.

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42

Doherty, Jesse, Laurie Hendren y Soroush Radpour. "Kind analysis for MATLAB". ACM SIGPLAN Notices 46, n.º 10 (18 de octubre de 2011): 99–118. http://dx.doi.org/10.1145/2076021.2048077.

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43

Luo, Jiao Yan y Xiang E. Sun. "Matlab-Based Formant Estimation". Applied Mechanics and Materials 577 (julio de 2014): 798–801. http://dx.doi.org/10.4028/www.scientific.net/amm.577.798.

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In the study of speech digital signal processing, the resonance peak is the major characteristics in reflecting track resonant. In order to be more conducive to the future development of speech signal processing techniques, three methods of the formant estimation are introduced in the article, namely, Short-time Fourier Transform method, Cepstrum, LPC estimation method. These methods are compared and analyzed by means of MATLAB programming, and it is concluded that LPC method is the best method, which can estimate the formant peaks more accurate.

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44

Shampine, Lawrence F. y Mark W. Reichelt. "The MATLAB ODE Suite". SIAM Journal on Scientific Computing 18, n.º 1 (enero de 1997): 1–22. http://dx.doi.org/10.1137/s1064827594276424.

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45

Wellock, C., V. Chickarmane y H. M. Sauro. "The SBW-MATLAB interface". Bioinformatics 21, n.º 6 (5 de noviembre de 2004): 823–24. http://dx.doi.org/10.1093/bioinformatics/bti110.

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46

Syffen, Georgette, Ahmed Khalil y Ibrahim Ramadan. "ORIGINDESTINATIONMATRIXESTIMATIONBASEDONTRAFFICCOUNTSUSINGFMINCON FUNCTION IN MATLAB". Journal of Al-Azhar University Engineering Sector 18, n.º 66 (1 de enero de 2023): 57–73. http://dx.doi.org/10.21608/auej.2023.283020.

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47

Tian, Daquan, Soroosh Sorooshian y Donald E. Myers. "Correspondence analysis with Matlab". Computers & Geosciences 19, n.º 7 (agosto de 1993): 1007–22. http://dx.doi.org/10.1016/0098-3004(93)90006-q.

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48

Rich, Lawrence C. y David R. Hill. "Automatic differentiation in MATLAB". Applied Numerical Mathematics 9, n.º 1 (enero de 1992): 33–43. http://dx.doi.org/10.1016/0168-9274(92)90065-l.

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49

Wessel, Paul y Joaquim F. Luis. "The GMT/MATLAB Toolbox". Geochemistry, Geophysics, Geosystems 18, n.º 2 (febrero de 2017): 811–23. http://dx.doi.org/10.1002/2016gc006723.

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50

Kiruthika K, Bhumika K Ramesh, Vishal G, Vivek N y Jyoti. "IC Tester Using MATLAB". International Research Journal on Advanced Engineering and Management (IRJAEM) 2, n.º 09 (27 de septiembre de 2024): 2925–28. http://dx.doi.org/10.47392/irjaem.2024.0432.

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Digital IC tester is a microcontroller grounded circuitry that tests rainfall the IC is in good working condition or bad condition. In diligence, testing of the product is a major and precious and time-consuming process. Before making the whole system work, testing is mandatorily performed to avoid crimes and uninvited results. also, in educational institutions, while performing practical it's necessary to check the ICs whether it's good or bad before performing trials. numerous a small fault at IC position makes system perform incorrectly and produce wrong labors. The proposed system gives a cheap, small, movable and easy to handle IC tester that tests the ICs belonging to introductory gate circuitry similar as mux, demux, encoder, introductory gates. A new system for the high- speed test and characterization of digital intertwined circuit prototypes has been developed. It utilizes a especially developed off- chip processor and supporting circuitry that's to be included on the prototype chip to grease the test and characterization process. The processor administers the stoner- defined test, receives and stores the test results. The test procedure and data is downloaded to the processor’s memory through a standard interface. The supporting circuitry receives the test data serially from the processor, applies it to the named circuit within the IC, collects and reformat the test results and shoot it to the processor. It also includes a high- frequence configurable timepiece creator to be used for performance characterization of the prototyped circuits.

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