Relevant bibliographies by topics / Code matlab

Contents

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

Academic literature on the topic 'Code matlab'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 May 2024

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Journal articles on the topic "Code matlab"

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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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Okyere, Samuel, Joseph Ackora-Prah, Ebenezer Bonyah, and Samuel Akwasi Adarkwa. "Numerical Scheme for Compartmental Models: New Matlab Software Codes for Numerical Simulation." F1000Research 12 (September 25, 2023): 445. http://dx.doi.org/10.12688/f1000research.130458.2.

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Background: This paper presents a newly developed Matlab code for the numeri- cal simulation of compartmental/deterministic models. It addresses modeling and simulation issues concerning compartmental models. The code is easy to under- stand and edit for the simulation of compartmental models. An alternative codes for statistical software package R has been proposed for the same model. R software is freely available for use. Methods: We proposed a basic SEIR model for illustration purposes. Matlab and R software codes are developed for the SEIR model which users can follow and easily understand the computations. Results: The two codes work on all Matlab and R versions. For models with more compartments, we suggest using higher version of Matlab and R. Matlab works on windows, Mac and Linux Conclusions: New Matlab software codes purposely for numerical simulations of classical deterministic models which can run on any version of Matlab has been introduced in this paper. This code can be edited/modify to suit any deterministic models and any desired output required. An alternative open source free version has been written in R has been provided as well
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Okyere, Samuel, Joseph Ackora-Prah, Ebenezer Bonyah, and Samuel Akwasi Adarkwa. "Numerical Scheme for Compartmental Models: New Matlab Software Codes for Numerical Simulation." F1000Research 12 (April 26, 2023): 445. http://dx.doi.org/10.12688/f1000research.130458.1.

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Background: This paper presents a newly developed Matlab code for the numeri- cal simulation of compartmental/deterministic models. It addresses modeling and simulation issues concerning compartmental models. The code is easy to under- stand and edit for the simulation of compartmental models. An alternative codes for statistical software package R has been proposed for the same model. R software is freely available for use. Methods: We proposed a basic SEIR model for illustration purposes. Matlab and R software codes are developed for the SEIR model which users can follow and easily understand the computations. Results: The two codes work on all Matlab and R versions. For models with more compartments, we suggest using higher version of Matlab and R. Matlab works on windows, Mac and Linux Conclusions: New Matlab software codes purposely for numerical simulations of classical deterministic models which can run on any version of Matlab has been introduced in this paper. This code can be edited/modify to suit any deterministic models and any desired output required. An alternative open source free version has been written in R has been provided as well
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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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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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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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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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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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Figueroa Garcia, Juan Carlos, and Jhoan Sebastian Tenjo García. "FRand: MATLAB Toolbox for Fuzzy Random Number Simulation." Ingeniería 25, no. 1 (March 12, 2020): 38–49. http://dx.doi.org/10.14483/23448393.15620.

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Context: This paper presents a MATLAB code implementation and the GUI (General User Interface) for fuzzy random variable generation. Based on previous theoretical results and applications, a MATLAB toolbox has been developed and tested for selected membership functions. Method: A two–step methodology was used: i) a MATLAB toolbox was implemented to be used as interface and ii) all .m functions are available to be used as normal code. The main goal is to provide graphical and code–efficient tools to users. Results: The main obtained results are the MATLAB GUI and code. In addition, some experiments were ran to evaluate its capabilities and some randomness statistical tests were successfully performed. Conclusions: Satisfactory results were obtained from the implementation of the MATLAB code/toolbox. All randomness tests were accepted and all performed experiments shown stability of the toolbox even for large samples (>10.000). Also, the code/toolbox are available online. Acknowledgements: The authors would like to thank to the Prof. M Sc. Miguel Melgarejo and Prof. Jos´e Jairo Soriano–Mendez sincerely for their interest and invaluable support, and a special gratefulness is given to all members of LAMIC.
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Bansal, Manish, and Sangeeta Nakhate. "Implementation of fast FFT design for 128-point using Radix-22 CFA." International Journal of Engineering & Technology 7, no. 4 (September 24, 2018): 2646. http://dx.doi.org/10.14419/ijet.v7i4.16063.

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In this paper, implementation of fast FFT design for 128- point using Radix-22 CFA is presented. This research uses a common factor algorithm which is based on Radix-22. A 2-point DFT butterfly structure is the lowest complexity structure and Radix-22 CFA is used to reduce logic and area by reducing the number of twiddle factors. The VHDL code is written and synthesized using Xilinx FPGA device xc7vx330t-3ffg1761 to implement the proposed design. This design is coded in VHDL and MATLAB. VHDL code is targeted to synthesize into Xilinx Virtex-7 FPGA and simulated into ModelSim PE Student Edition 10.4a. MATLAB code is simulated into MATLAB 2012. The proposed design achieves 149.822 MHz clock frequency, used 2802 slices on the Virtex-7 and SQNR 33.49 dB at 16-bit I/O word length.
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Dissertations / Theses on the topic "Code matlab"

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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 "Code matlab"

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Ramamurthy, Karthikeyan N., and Andreas S. Spanias. MATLAB® Software for the Code Excited Linear Prediction Algorithm. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01514-4.

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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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Marquez, F. MATLAB and Simulink Code Generation. Independently Published, 2019.

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Abdelhadi, Ahmed, and Michael Ghorbanzadeh. Practical Channel-Aware Resource Allocation: With MATLAB and Python Code. Springer International Publishing AG, 2022.

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Book chapters on the topic "Code matlab"

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Wickramasuriya, Dilranjan S., and Rose T. Faghih. "MATLAB Code Examples." In Bayesian Filter Design for Computational Medicine, 111–216. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-47104-9_10.

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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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Nguyen, Vinh Phu, Alban de Vaucorbeil, and Stephane Bordas. "MPMat: A MPM Matlab Code." In The Material Point Method, 161–203. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24070-6_6.

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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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Wartak, Marek S. "Matlab Code for p-n Homo-Diode." In Introduction to Simulations of Semiconductor Lasers, 177–96. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003265849-10.

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Wickramasuriya, Dilranjan S., and Rose T. Faghih. "List of Supplementary MATLAB Functions." In Bayesian Filter Design for Computational Medicine, 217–18. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-47104-9_11.

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AbstractAll the MATLAB code examples accompanying this book can be run directly. The examples are self-contained and do not require additional path variables being set up. The following is a partial list of the supplementary MATLAB functions that are called at various stages by the state estimators.
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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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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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Conference papers on the topic "Code matlab"

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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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Cucuzzella, A. "MATLAB code for highly energetic materials." In Aerospace Science and Engineering. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902677-16.

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Abstract. Detonations represent high-speed chemical reactions characterized by rapid propagation, accompanied by a release of high-pressure energy. This transformative process converts unreacted explosive materials into stable product molecules, reaching a steady state known as the Chapman-Jouguet (CJ) state. This study aims to effectively describe the detonation phenomenon in energetic materials through the application of the CJ theory. Using a computational approach, we developed a MATLAB code to calculate the minimum detonation velocity (DCJ) of the explosive and analyze product expansion under constant entropy conditions.
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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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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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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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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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Reports on the topic "Code matlab"

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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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Krahmann, Gerd. GEOMAR FB1-PO Matlab Slocum glider processing toolbox. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2023. http://dx.doi.org/10.3289/sw_4_2023.

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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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Davila, Xabier. GLODAP Quality Control (QC) procedures. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.12.

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The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort that provides high-quality, quality-controlled ocean biogeochemical bottle data with annual-updates, playing a crucial role in advancing our understanding of the Earth's oceans and their complex biogeochemical processes. This deliverable covers the GLODAP annual updates under the EuroSea funding, as well as the automatization of the quality control process of the data. Under the EuroSea funding, GLODAP has received three updates (GLODAPv2.2020, GLODAPv2.2021 and GLODAPv2.2022) with a total number of 245 cruises added, and in addition, a new version release (GLODAPv3) is planned. These updates were possible as a result of the large degree of automatization of the quality control process that ensures the accuracy of the data. The core of the quality control process is the crossover analysis that is currently performed via the 2nd QC Matlab toolbox from Lauvset and Tanhua (2015). However, following Eurosea’s vision of a user-focused, truly interdisciplinary, and responsive European ocean observing and forecasting system, this deliverable aims to migrate from the Matlab toolbox to an online web application based on the open-source software Django and Python. This will allow the user to simply upload the data file to be quality controlled and the web application performs the secondary quality control through the deep water crossover analysis just as in Matlab, and offers similar graphics for visualization. Because the crossover analysis is partially automated on this online tool, the users do not need to possess any programming knowledge in order to quality control their data. In addition, this online tool can be part of a fully automated GLODAP quality control process, without need for manual intervention. (EuroSea Deliverable, D4.12)
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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for this one control input. This paper presents a novel model based on an input linearizing transformation. It is demonstrably superior to alternative model forms, in that the core dynamics of the model (battery state of energy) are linear, and the non-linearities of the model are pushed into the inputs and outputs in a Wiener/Hammerstein form. The output non-linearities can be approximated using a quadratic model, which creates a problem in the linear-quadratic framework. This facilitates the direct application of linear control approaches such as LQR control, predictive control, or Model Predictive Control (MPC). The paper demonstrates the approach using the ELectrified Vehicle library for sImulation and Optimization (ELVIO). It is an open-source MATLAB/Simulink library designed for the quick and easy simulation and optimization of different powertrain and drivetrain architectures. It follows a modelling methodology that combines backward-facing and forward-facing signal path, which means that no driver model is required. The results show that the approximated solution provides a performance that is very close to the solution of the original problem except for extreme parts of the operating range (in which case the solution tends to be driven by constraints anyway).
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