Relevant bibliographies by topics / Matlab code

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Matlab code'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Matlab code"

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Memon, Farida, Aamir Hussain Memon, Shahnawaz Talpur, Fayaz Ahmed Memon, and Rafia Naz Memon. "Design and Co-Simulation of Depth Estimation Using Simulink HDL Coder and Modelsim." July 2016 35, no. 3 (July 1, 2016): 473–82. http://dx.doi.org/10.22581/muet1982.1603.17.

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In this paper a novel VHDL design procedure of depth estimation algorithm using HDL (Hardware Description Language) Coder is presented. A framework is developed that takes depth estimation algorithm described in MATLAB as input and generates VHDL code, which dramatically decreases the time required to implement an application on FPGAs (Field Programmable Gate Arrays). In the first phase, design is carriedout in MATLAB. Using HDL Coder, MATLAB floating- point design is converted to an efficient fixed-point design and generated VHDL Code and test-bench from fixed point MATLAB code. Further, the generated VHDL code of design is verified with co-simulation using Mentor Graphic ModelSim10.3d software. Simulation results are presented which indicate that VHDL simulations match with the MATLAB simulations and confirm the efficiency of presented methodology.
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Mozeson, E., and N. Levanon. "MATLAB code for plotting ambiguity functions." IEEE Transactions on Aerospace and Electronic Systems 38, no. 3 (July 2002): 1064–68. http://dx.doi.org/10.1109/taes.2002.1039423.

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Hasdemir, İ. Tolga, and Salman Kurtulan. "AUTOMATIC PLC CODE GENERATION USING MATLAB." IFAC Proceedings Volumes 39, no. 17 (2006): 131–36. http://dx.doi.org/10.3182/20060926-3-pl-4904.00022.

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Xiao, Mei, and Guo Hua Liu. "Research on MATLAB Programming Efficiency." Applied Mechanics and Materials 135-136 (October 2011): 788–92. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.788.

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MATLAB is a powerful tool for data processing. This paper focused on how to enhance the efficiency of scientific computation in seismic data processing by improving the traditional MATLAB programming code. Some examples were presented to demonstrate the advantage of vector addressing over the traditional scalar addressing. Vector addressing programming can simplify the code significantly, and can it also improve the compiling efficiency and executing efficiency of the code. The other examples were given to illustrate the use of the colon and some special values that can improve the MATLAB programming efficiency. Some issues in this paper can also serve as guidelines for professionals in other disciplines.
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Brandts, J. H. "Matlab code for sorting real Schur forms." Numerical Linear Algebra with Applications 9, no. 3 (2002): 249–61. http://dx.doi.org/10.1002/nla.274.

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Degallaix, Jérôme. "OSCAR a Matlab based optical FFT code." Journal of Physics: Conference Series 228 (May 1, 2010): 012021. http://dx.doi.org/10.1088/1742-6596/228/1/012021.

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Jin, Rui, Shuanggen Jin, and Guiping Feng. "M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases." GPS Solutions 16, no. 4 (July 18, 2012): 541–48. http://dx.doi.org/10.1007/s10291-012-0279-3.

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Glisson, Allen W., and Atef Z. Elsherbeni. "An interactive 1D Matlab FDTD code for education." Computer Applications in Engineering Education 9, no. 2 (2001): 136–47. http://dx.doi.org/10.1002/cae.1015.

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Mirotznik, M. S. "Translating Matlab programs into C code [Software reviews]." IEEE Spectrum 33, no. 2 (February 1996): 63–64. http://dx.doi.org/10.1109/mspec.1996.482278.

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Gaždová, R., and J. Vilhelm. "DISECA – A Matlab code for dispersive waveform calculations." Computers and Geotechnics 38, no. 4 (June 2011): 526–31. http://dx.doi.org/10.1016/j.compgeo.2011.03.001.

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Dissertations / Theses on the topic "Matlab code"

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Sherif, Feysel Nesru. "MATLAB FEM Code - From Elasticity to Plasticity." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for bygg, anlegg og transport, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18638.

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A MATLAB Finite Element code for plane strain analysis of footings on an Elasto-plastic material using the Mohr Coulomb failure criteria has been developed. The first step is to develop codes for mesh generation and Gaussian numerical integration. Next, the force matrix, the stiffness matrix and the self weight matrix are assembled. After that functions for non linear analysis such as the plastic potential derivatives are formed. Finally plots of the mesh, displacement shadings, stress shadings and stress-strain curves are developed. For the purpose of verification results from the code for biaxial test are compared with the theoretical solution. Additionally comparison is made between the code and prandtl’s bearing capacity solutions for a footing problem. These results show that accuracy depends on two factors: - the type of the element and the number of elements used. The three node triangular element and the four node rectangular element give less accurate results when compared to higher order element types. And for a relatively accurate result the number of elements should be too high.
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Muellegger, Markus. "Evaluation of Compilers for MATLAB- to C-Code Translation." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1149.

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MATLAB to C code translation is of increasing interest for science and industry. In

detail two MATLAB to C compilers denoted as Matlab to C Synthesis (MCS) and

Embedded MATLAB C (EMLC) have been studied. Three aspects of automatic code

generation have been studied; 1) generation of reference code; 2) target code generation;

3) floating-to-fixed-point conversion. The benchmark code used aimed to cover

simple up to more complex code by being viewed from a theoretical as well as practical perspective. A fixed-point filter implementation is demonstrated. EMLC and MCS

offer several fixed-point design tools. MCS provides a better support for C algorithm

reference generation, by covering a larger set of the MATLAB language as such. More

suitable for direct target implementation is code generated from EMLC. As a result

of the need to guarantee that the EMLC generated C-code allocates memory only

statically, MATLAB becomes more constraint by EMLC. Functional correctness was

generally achieved for each automatic translation.

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Ferreira, Maxime. "Servo-control of binoculars’ lensusing MATLAB automatic Code Generation." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-195083.

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Thales optronique SAS is a company specialized in the design of optronics equipment and missile electronics for air, naval or terrestrial forces. Among their products, the Infrared Cameras such as SOPHIE – for a soldier – or CATHERINE – for a vehicle – are crucial tools for target identification, location and tracking among other surveillance applications. Amid all the functions gathered in these cameras1, the system coping with the optical and electronic zoom is the thesis purpose. Previous works on the zoom system design involved the use of stepper-motors enabling a low cost of production and providing satisfactory results. However, if performances requirements tightened up – a more accurate system, a quicker zoom or a position feedback for instance –, the stepping technology would hit its limits. A new approach providing greater control performances with equivalent size and interfaces – for an easy integration – is required, thus, a DC-motors based system coupled with position feedback sensors is explored.The introduction details the IR cameras’ functionality and current technology: their limits and the alternative are exposed in the Problem statement and the thesis’ objective along with the methodology to complete it. A system description gives an insight of the zoom feature, especially regarding the hardware used and the setup. The third chapter is dedicated to explaining the model used for simulations. A model-based controller design relies on the previously introduced model and constitutes the fourth chapter: its choice is justified and its tuning is explained. It is followed by the whole program implementation on the microcontroller: Matlab Code Generation is introduced and used. Tests are done to validate the goals in the dedicated section, the last chapters discusses the results and their possible improvements. A conclusion goes over the previous chapters and puts them into perspective.
Thales optronique SAS är ett företag specialiserat på konstruktion av optronik utrustning och missil elektronik för luft, sjö- eller landstyrkor. Bland deras produkter finns IR Kameror som SOPHIE - för soldater - eller CATHERINE - för fordon - som är viktiga verktyg för målidentifiering, lokalisering och spårning. Denna rapporten fokuserar på den optiska och elektroniska zoomen i dessa system.  Tidigare arbeten på zoom systemdesign har använd stegmotorer som möjliggör en låg tillverkningskostnad och tillhandahåller tillfredsställande resultat. Men om prestandakraven skärps, t.ex. genom  krav på en mer exakt och snabbare zoom eller lägesretur, sätter stegmotortekniken hårda begränsningar. En ny ansats som ger bättre reglerprestanda med samma storlek och gränssnitt som tidigare krävs. För detta ändamål studeras här användningen av DC motorer kombinerat med positionsåterkoppling från sensorer. Introduktionen ger detaljer kring IR kameraets funktionalitet och nuvarande teknologi; deras begränsningar och alternativa lösningar diskuteras och målet med examensarbetet samt vald metodik redovisas. En systembeskrivning ger insyn i zoom egenskaper, speciellt gällande hårdvara och uppsätt. Det 3:e kapitlet omhandlar modellen som används för simuleringar. En modell baserad regulator, baserat på nämnda modell, presenteras i kapitel 4. Valet av regulator och inställningen av denna motiveras. Efter detta redogörs för implementeringen i en mikrokontroller och Matlabs kodgenerator introduceras och används. Tester görs för att validera målen med regleringen och det sista kapitlet diskuterar resultaten och föreslår möjliga förbättringar. Slutligen dras slutsatser av arbetet och resultaten sätts in i ett perspektiv.
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Noriega, Alexandra. "Matlab Implementation of a Tornado Forward Error Correction Code." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc84260/.

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This research discusses how the design of a tornado forward error correcting channel code (FEC) sends digital data stream profiles to the receiver. The complete design was based on the Tornado channel code, binary phase shift keying (BPSK) modulation on a Gaussian channel (AWGN). The communication link was simulated by using Matlab, which shows the theoretical systems efficiency. Then the data stream was input as data to be simulated communication systems using Matlab. The purpose of this paper is to introduce the audience to a simulation technique that has been successfully used to determine how well a FEC expected to work when transferring digital data streams. The goal is to use this data to show how FEC optimizes a digital data stream to gain a better digital communications systems. The results conclude by making comparisons of different possible styles for the Tornado FEC code.
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Kiepas, Patryk. "Analyses de performances et transformations de code pour les applications MATLAB." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM063.

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MATLAB est un environnement informatique doté d'un langage de programmation simple et d'une vaste bibliothèque de fonctions couramment utilisées en science et ingénierie (CSE) pour le prototypage rapide. Cependant, certaines caractéristiques de son environnement, comme son langage dynamique ou son style de programmation interactif, affectent la rapidité d'exécution des programmes. Les approches actuelles d'amélioration des programmes MATLAB traduisent le code dans des langages statiques plus rapides comme C ou Fortran, ou bien appliquent systématiquement des transformations de code au programme MATLAB sans considérer leur impact sur les performances. Dans cette thèse, nous comblons cette lacune en développant des techniques d'analyse et de transformation de code des programmes MATLAB afin d'augmenter leur performance. Plus précisément, nous analysons et modélisons le comportement d'un environnement MATLAB black-box uniquement en mesurant l'exécution caractéristique des programmes sur CPU. À partir des données obtenues, nous formalisons un modèle statique qui prédit le type et l'ordonnancement des instructions programmées lors de l'exécution par le compilateur Just-In-Time (JIT). Ce modèle nous permet de proposer plusieurs transformations de code qui améliorent les performances des programmes MATLAB en influençant la façon dont le compilateur JIT génère le code machine. Les résultats obtenus démontrent les avantages pratiques de la méthodologie présentée
MATLAB is a computing environment with an easy programming language and a vast library of functions commonly used in Computation Science and Engineering (CSE) for fast prototyping. However, some features of its environment, such as its dynamic language or interactive style of programming affect how fast the programs can execute. Current approaches to improve MATLAB programs either translate the code to faster static languages like C or Fortran, or apply code transformations to MATLAB code systematically without considering their impact on the performance. In this thesis, we fill this gap by developing techniques for the analysis and codetransformation of MATLAB programs in order to improve their performance. More precisely, we analyse and model the behaviour of the black-box MATLAB environment by measuring the execution characteristics of programs on CPU. From the resulting data, we formalise a static model which predicts the type and order of instructions scheduled by the Just-In-Time (JIT)compiler. This model allows us to propose several code transformations which increase the performance of MATLAB programs by influencing how the JIT compiler generates the machine code. The obtained results demonstrate the practical benefits of the presented methodology
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Obruča, Martin. "Simulace přenosu DVB-T v prostředí MATLAB." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217992.

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This thesis deals with Matlab application developed for simulation of the DVB-T channel coder and decoder. The first part of this thesis includes description of terrestrial digital video broadcasting system and comparison with analogue television. Channel coding and OFDM modulation, used in the DVB-T standard, is described in detail. Application developed in the Matlab environment is described in the second part. The application simulates data transfer of the DVB-T system. Results of the simulated transmission, using developed application are presented in the last part. Namely dependence of the BER on the S/N ratio, using various coder settings, was examined. Maximal possible data rate was determined for these various setting. All obtained values are graphically represented.
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Bäck, Carl. "Evaluation of high-level synthesis tools for generation of Verilog code from MATLAB based environments." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-78738.

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FPGAs are of interest in the signal processing domain as they provide the opportunity to run algorithms at very high speed. One possible use case is to sort incoming data in a measurement system, using e.g. a histogram method. Developing code for FPGA applications usually requires knowledge about special languages, which are not common knowledge in the signal processing domain. High-level synthesis is an approach where high-level languages, as MATLAB or C++, can be used together with a code generation tool, to directly generate an FPGA ready output. This thesis uses the development of a histogram as a test case to investigate the efficiency of three different tools, HDL Coder in MATLAB, HDL Coder in Simulink and System Generator for DSP in comparison to the direct development of the same histogram in Vivado using Verilog. How to write and structure code in these tools for proper functionality was also examined. It has been found that all tools deliver an operation frequency comparable to a direct implementation in Verilog, decreased resource usage, a development time which decreased by 27% (HDL Coder in MATLAB), 45% (System Generator) and 64% (HDL Coder in Simulink) but at the cost of increased power consumption. Instructions for how to use all three tools has been collected and summarised.
I ingångssteget på ett mätsystem är det av intresse att använda en FPGA för att uppnå höga hastigheter på de oundvikliga datafiltrering och sorterings algoritmer som körs. Ett problem med FPGAer är att utvecklingen ställer höga krav på specifik kunskap gällande utvecklingsspråk och miljöer vilket för en person specialiserad inom t.ex. signalbehandling kan saknas helt. HLS är en metodik där högnivåspråk kan användas för digital design genom att nyttja ett verktyg för automatgenerering av kod. I detta arbete har utveckling av ett histogram använts som testfall för att utvärdera effektivitet samt designmetodik av tre olika HLS verktyg, HDL Coder till MATLAB, HDL Coder till Simulink och System Generator for DSP. Utvecklingen i dessa verktyg har jämförts mot utvecklingen av samma histogram i Vivado, där språket Verilog använts. Arbetets slutsater är att samtliga verktyg som testats leverar en arbetsfrekvens som är jämförbar med att skriva histogrammet direkt i Verilog, en minskad resursanvändning, utvecklingstid som minskat med 27% (HDL Coder i MATLAB), 45% (System Generator) och 64% (HDL Coder i Simulink) men med en ökad strömförbrukning. En sammanställning av instruktioner för utveckling med hjälp av verktygen har även gjorts.
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Willkomm, Johannes [Verfasser]. "The reverse mode of automatic differentiation applied to the MATLAB language - advanced methods for adjoint code generation / Johannes Willkomm." München : Verlag Dr. Hut, 2021. http://d-nb.info/1238423108/34.

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Závorka, Radek. "Program pro demonstraci kanálového kódování." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413009.

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The main subject of this thesis is creating a programme, used for channel coding demonstration. This programme will be used for teaching purposes. The programme contains various codes from simple ones, to those which almost reach Shanon’s channel capacity theorem. Specifically these are the Hamming code, cyclic code, convolutional code and LDPC code. These functions are based on theoretical background described in this thesis and have been programed in Matlab. Practical output of this thesis is user interface, where the user is able to input information word, simulate transmission through the transmission channel and observe coding and decoding for each code. This thesis also contains a comparison between individual codes, concerning bit-error rate depending on SNR and various parameters. There is a computer lab with theoretical background, assignment and sheets for convenient accomplishment of each task.
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Shamas, Sofia. "Development of a Software Code for Pharmacokinetic Analysis of PET Data." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd_retro/6.

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To improve efficacy in the field of drug discovery simpler in vivo, non invasive methods such as PET and SPECT are used. Pharmacokinetic analysis is the underlying method for analyzing the PET data. Imaging of tracer distribution is used to study a metabolic process. Using Matlab as the programming language, a software tool is developed to analyze the quantitative information from PET and to obtain an estimate of pharmacokinetic parameters, representing the bio- distribution of the radiotracer. A Graphical User Interface developed allows two types of analysis, depending upon the nature of the radiotracer: Compartmental Modeling and Logan Plot Analysis. Compartmental analysis gives us rate constants and blood volume where as Logan analysis gives us the distribution volume as the parameter of interest. Code validation is done for two radiotracers, 15O-water (Single compartment model) and FPAC (Logan Plot). Results from the code were compared with those obtained during a research work done to study MDR.
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Books on the topic "Matlab code"

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Ramamurthy, Karthikeyan N. MATLAB software for the code excited linear prediction algorithm: The Federal Standard, 1016. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47952-7.

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Kaveh, Ali, and Taha Bakhshpoori. Metaheuristics: Outlines, MATLAB Codes and Examples. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04067-3.

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Magnetics, dielectrics, and wave propagation with MATLAB codes. Boca Raton: CRC Press, 2011.

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A practical guide to error-control coding using MATLAB. Boston: Artech House, 2010.

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Ferreira, A. J. M. MATLAB codes for finite element analysis: Solids and structures. [Dordrecht]: Springer Science & Business Media, 2009.

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MATLAB codes for finite element analysis: Solids and structures. [Dordrecht]: Springer Science & Business Media, 2009.

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Laer, Sven Van. Image-Processing Speed Improvement: Translating Matlab to C Code Using ANTLR. VDM Verlag Dr. Müller, 2010.

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Harun, Nor Hazlyna, Hamirul ’Aini Hambali, Mohamad Ghozali Hassan, and Khairah Nazurah Karim. Learn by example: MATLAB app design. UUM Press, 2017. http://dx.doi.org/10.32890/9789672064510.

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MATLAB App Designer is a feature that allows MATLAB code to be packaged into an interactive software.The software can be shared on any computer without the trouble of having to install MATLAB or even knowing programming knowledge to be able to operate the software.This books provides hands on approach to guide learners in developing the software from scratch using MATLAB App Designer.It covers a wide variety on standard graphical component (radio button, tables, button, check boxes, sliders and many others) and how to utilize its properties and function in deploying end user software.Source code for all the example program can be studied and understand by student easily.This equips learners with the fundamental and required skills for developing the application on their own. Added that, the example code can be reusable with other case problem or application similar to the hands on example. The key to mastering any application development software is to practice, so that you are familiarize with the components and understand its properties and behavior.In simple word, knowing how each components work is essential. This is where this book benefits learner that needs to develop software application using MATLAB.
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Fortuna, Luigi, Mattia Frasca, Lucia Valentina Gambuzza, and Arturo Buscarino. Synchronization in Networks of Nonlinear Circuits: Essential Topics with MATLAB® Code. Springer, 2018.

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Book chapters on the topic "Matlab code"

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Kuchár, Daniel, Martin Bartoň, Peter Schreiber, and Pavol Tanuška. "Matlab Code Generation and Consumption." In Intelligent Algorithms in Software Engineering, 261–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51965-0_22.

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Maccone, Claudio. "A Matlab code for KLT simulations." In Mathematical SETI, 607–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27437-4_27.

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Rossi, Mattia, Nicola Toscani, Marco Mauri, and Francesco Castelli Dezza. "Automatic Code Generation through MATLAB®." In Introduction to Microcontroller Programming for Power Electronics Control Applications, 16–28. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003196938-2.

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Li, Jichun, and Yunqing Huang. "A Matlab Edge Element Code for Metamaterials." In Time-Domain Finite Element Methods for Maxwell's Equations in Metamaterials, 195–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33789-5_7.

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Dernehl, Christian, Norman Hansen, and Stefan Kowalewski. "Abstract Interpretation of MATLAB Code with Interval Sets." In Lecture Notes in Computer Science, 25–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45943-1_2.

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Lu, Zheng, and Supratik Mukhopadhyay. "Model-Based Static Code Analysis for MATLAB Models." In Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering Change, 474–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34026-0_35.

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Kawabata, Hideyuki, Mutsumi Suzuki, and Toshiaki Kitamura. "A MATLAB-Based Code Generator for Sparse Matrix Computations." In Programming Languages and Systems, 280–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30477-7_19.

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Wiik, Jonatan, and Pontus Boström. "Contract-Based Verification of MATLAB and Simulink Matrix-Manipulating Code." In Formal Methods and Software Engineering, 396–412. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11737-9_26.

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Wavare, M. S., N. S. Darkunde, and S. P. Basude. "Encoding Using the Binary Schubert Code [43, 7] Using MATLAB." In Techno-Societal 2020, 725–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69921-5_72.

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Nasir, Ali. "Modular Approach of Writing MATLAB Code for a Markov Decision Process." In Functional Reverse Engineering of Machine Tools, 183–213. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019. | Series: Computers in engineering design and manufacturing: CRC Press, 2019. http://dx.doi.org/10.1201/9780429022876-16.

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Conference papers on the topic "Matlab code"

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Danicki, E. "MATLAB code for SAWS." In 1999 IEEE Ultrasonics Symposium. Proceedings. International Symposium. IEEE, 1999. http://dx.doi.org/10.1109/ultsym.1999.849387.

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West, Garrett J., and Joseph M. Howard. "CODE V to Matlab Extensions." In International Optical Design Conference. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/iodc.2014.im3b.7.

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Walther, Marissa, Leo C. Ureel, and Charles Wallace. "A Prototype MATLAB Code Critiquer." In ITiCSE '19: Innovation and Technology in Computer Science Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3304221.3325591.

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Relvas, Antonio, Nuno C. Marques, Miguel Monteiro, and Glauco Carneiro. "An annotated repository for MATLAB code (S)." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-137.

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Paulsen, Geir Yngve, Jonathan Feinberg, Xing Cai, Bjorn Nordmoen, and Hans Petter Dahle. "Matlab2cpp: A Matlab-to-C++ code translator." In 2016 11th System of Systems Engineering Conference (SoSE). IEEE, 2016. http://dx.doi.org/10.1109/sysose.2016.7542966.

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Bispo, João, Luís Reis, and João M. P. Cardoso. "Multi-Target C Code Generation from MATLAB." In PLDI '14: ACM SIGPLAN Conference on Programming Language Design and Implementation. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2627373.2627389.

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Birkbeck, Neil, Jonathan Levesque, and Jose Nelson Amaral. "A Dimension Abstraction Approach to Vectorization in Matlab." In International Symposium on Code Generation and Optimization (CGO'07). IEEE, 2007. http://dx.doi.org/10.1109/cgo.2007.1.

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Erdyanti, Rinta Bi Tari, Muhammad Archie Antareza, Kevin Dwimanggala Tjiongnotoputera, and Mariyanto Mariyanto. "THERMITS: A MATLAB code to process thermomagnetic data." In INTERNATIONAL CONFERENCE ON ELECTROMAGNETISM, ROCK MAGNETISM AND MAGNETIC MATERIAL (ICE-R3M) 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0015630.

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Krizan, J., L. Ertl, M. Bradac, M. Jasansky, and A. Andreev. "Automatic code generation from Matlab/Simulink for critical applications." In 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2014. http://dx.doi.org/10.1109/ccece.2014.6901058.

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Laskov, Lyubomir, Veska Georgieva, and Kalin Dimitrov. "Analysis of Pulse Code Modulation in MATLAB / Octave Environment." In 2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). IEEE, 2020. http://dx.doi.org/10.1109/icest49890.2020.9232755.

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Reports on the topic "Matlab code"

1

Bader, Brett William, and Tamara Gibson Kolda. MATLAB tensor classes for fast algorithm prototyping : source code. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/974874.

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Armstrong, Derek Elswick. Mathematical Formulation used by MATLAB Code to Convert FTIR Interferograms to Calibrated Spectra. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1291184.

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