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Journal articles on the topic 'Matlab code'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

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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2

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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4

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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5

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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8

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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9

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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10

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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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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13

Tang, Yu. "Simulation Research on how to Improve the Range Resolution of Pulse Compression Radar Based on Phase Coding." Applied Mechanics and Materials 143-144 (December 2011): 634–38. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.634.

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Phase coded radar signal is one of the pulse-pulse modulation signal in the radar system. Based on the characteristics of matched filtering, we theoretically analyze the basic principle of the phase coded compression radar system. In the Matlab platform, we set up a simulation model which is used for matching filter, when the radar transmitting signal is Barke code signal. The simulation results show that Echo signal can obtain certain pulse compression ratio. By the matched filter, the main lobe amplitude of 13 bits Barker code signal is 22 times the rate of side-lobe. 13 bits Barker codes by the matched filter have the maximum pulse compression ratio.

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14

Danca, Marius-F., and Nikolay Kuznetsov. "Matlab Code for Lyapunov Exponents of Fractional-Order Systems." International Journal of Bifurcation and Chaos 28, no. 05 (May 2018): 1850067. http://dx.doi.org/10.1142/s0218127418500670.

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In this paper, the Benettin–Wolf algorithm to determine all Lyapunov exponents for a class of fractional-order systems modeled by Caputo’s derivative and the corresponding Matlab code are presented. First, it is proved that the considered class of fractional-order systems admits the necessary variational system necessary to find the Lyapunov exponents. The underlying numerical method to solve the extended system of fractional order, composed of the initial value problem and the variational system, is the predictor-corrector Adams–Bashforth–Moulton for fractional differential equations. The Matlab program prints and plots the Lyapunov exponents as function of time. Also, the programs to obtain Lyapunov exponents as function of the bifurcation parameter and as function of the fractional order are described. The Matlab program for Lyapunov exponents is developed from an existing Matlab program for Lyapunov exponents of integer order. To decrease the computing time, a fast Matlab program which implements the Adams–Bashforth–Moulton method, is utilized. Four representative examples are considered.

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Ansari, A. S., T. Shah, Zia Ur-Rahman, and Antonio A. Andrade. "Sequences of Primitive and Non-primitive BCH Codes." TEMA (São Carlos) 19, no. 2 (September 12, 2018): 369. http://dx.doi.org/10.5540/tema.2018.019.02.369.

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In this work, we introduce a method by which it is established that; how a sequence of non-primitive BCH codes can be obtained by a given primitive BCH code. For this, we rush to the out of routine assembling technique of BCH codes and use the structure of monoid rings instead of polynomial rings. Accordingly, it is gotten that there is a sequence $\{C_{b^{j}n}\}_{1\leq j\leq m}$, where $b^{j}n$ is the length of $C_{b^{j}n}$, of non-primitive binary BCH codes against a given binary BCH code $C_{n}$ of length $n$. Matlab based simulated algorithms for encoding and decoding for these type of codes are introduced. Matlab provides built in routines for construction of a primitive BCH code, but impose several constraints, like degree $s$ of primitive irreducible polynomial should be less than $16$. This work focuses on non-primitive irreducible polynomials having degree $bs$, which go far more than 16.

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Chauveau, Stéphane, and François Bodin. "Menhir: An Environment for High Performance Matlab." Scientific Programming 7, no. 3-4 (1999): 303–12. http://dx.doi.org/10.1155/1999/525690.

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In this paper we present Menhir a compiler for generating sequential or parallel code from the Matlab language. The compiler has been designed in the context of using Matlab as a specification language. One of the major features of Menhir is its retargetability to generate parallel and sequential C or Fortran code. We present the compilation process and the target system description for Menhir. Preliminary performances are given and compared with MCC, the MathWorks Matlab compiler.

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17

FAGHIHI, F., and M. R. NEMATOLLAHI. "NUCLEAR FUEL DEPLETION ANALYSIS USING MATLAB SOFTWARE." International Journal of Modern Physics C 17, no. 06 (June 2006): 805–15. http://dx.doi.org/10.1142/s0129183106009229.

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Coupled first order IVPs are frequently used in many parts of engineering and sciences. In this article, we presented a code including three computer programs which are joint with the Matlab software to solve and plot the solutions of the first order coupled stiff or non-stiff IVPs. Some engineering and scientific problems related to IVPs are given and fuel depletion (production of the 239 Pu isotope) in a Pressurized Water Nuclear Reactor (PWR) are computed by the present code.

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18

Song, Chuan Xue, Si Lun Peng, Li Qiang Jin, Jian Hua Li, Shi Xin Song, and Zhu'an Zheng. "Rapid Prototyping Design for In-Wheel Motor Controller." Applied Mechanics and Materials 397-400 (September 2013): 1204–8. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1204.

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Based on the study of the Matlab rapid prototyping technology, the rapid prototyping design approach is presented, which is widely applicable to all kinds of microcontroller. Through the modification of the system target file, the automatic code generation function of the Matlab could support more microcontrollers. The rapid prototyping of in-wheel motor controller is designed through this approach. Then the embedded C codes are generated according to the vector control algorithm model which is validated by simulation, and the rapid prototyping of in-wheel motor controller is achieved. The proposed approach is validated through the comparison to hand-written code.

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19

Liu, Kai, and Andrés Tovar. "An efficient 3D topology optimization code written in Matlab." Structural and Multidisciplinary Optimization 50, no. 6 (June 25, 2014): 1175–96. http://dx.doi.org/10.1007/s00158-014-1107-x.

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20

Vuong, A. V., Ch Heinrich, and B. Simeon. "ISOGAT: A 2D tutorial MATLAB code for Isogeometric Analysis." Computer Aided Geometric Design 27, no. 8 (November 2010): 644–55. http://dx.doi.org/10.1016/j.cagd.2010.06.006.

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21

Sigmund, O. "A 99 line topology optimization code written in Matlab." Structural and Multidisciplinary Optimization 21, no. 2 (April 2001): 120–27. http://dx.doi.org/10.1007/s001580050176.

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22

Pidlisecky, Adam, and Rosemary Knight. "FW2_5D: A MATLAB 2.5-D electrical resistivity modeling code." Computers & Geosciences 34, no. 12 (December 2008): 1645–54. http://dx.doi.org/10.1016/j.cageo.2008.04.001.

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23

Aydın, Ibrahim, and Erdinc Oksum. "MATLAB code for estimating magnetic basement depth using prisms." Computers & Geosciences 46 (September 2012): 183–88. http://dx.doi.org/10.1016/j.cageo.2011.12.006.

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24

Hao, Ning, Yang An Zhang, Jin Nan Zhang, Ming Lun Zhang, and Xue Guang Yuan. "An Application of LDPC Code for Wireless Coherent-Light Commutation in Atmospheric Channel." Applied Mechanics and Materials 347-350 (August 2013): 1864–67. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1864.

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Low Density Parity Check code is more and more taken seriously in high-speed transmission. In this article we represent a LDPC coder and decoder which based on IEEE802.16e and realize the coder and decoder with Virtex-5 FPGA. By using Matlab to make an off-line system simulation, we analyzed and compared the LDPC performance under the different length of code for LDPC coder then analyzed the influence of different iteration to the LDPC BER performance of decoder.

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25

Spilka, R., and T. Ostermann. "Automatisierte VHDL-Code-Generierung eines Delta-Sigma Modulators." Advances in Radio Science 4 (September 6, 2006): 319–22. http://dx.doi.org/10.5194/ars-4-319-2006.

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Abstract. Im vorliegenden Beitrag wird eine automatische Generierung des VHDL-Codes eines Delta-Sigma Modulators präsentiert. Die Koeffizientenmultiplikation wird hierbei durch Bit-Serielle-Addition durchgeführt. Mit Hilfe zweier neuer Matlab Funktionen wird der Systementwurf durch die bekannte Delta-Sigma Toolbox von R. Schreier erweitert und direkt synthesefähiger VHDL Code erzeugt.

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26

Shang, Qi Xing, and Cong Zhang. "Performance Analysis and Simulation of BCH Code in Communication." Advanced Materials Research 945-949 (June 2014): 2258–61. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2258.

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This paper mainly introduces the basic principles of BCH code, which is a type of error control codes. The error control system is an important method to improve the communication transmission system. Communication system that containing BPSK modulation is built by MATLAB and through simulating and analyzing the performance of BCH communication systems, it was discovered that the BCH code transmission characteristic has significant gain. This paper provides the theory basis for the projects that contain BCH code.

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27

Funken, Stefan, Dirk Praetorius, and Philipp Wissgott. "Efficient implementation of adaptive P1-FEM in Matlab." Computational Methods in Applied Mathematics 11, no. 4 (2011): 460–90. http://dx.doi.org/10.2478/cmam-2011-0026.

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Abstract We provide a MATLAB package p1afem for an adaptive P1-finite element method (AFEM). This includes functions for the assembly of the data, different error estimators, and an indicator-based adaptive meshrefining algorithm. Throughout, the focus is on an efficient realization by use of MATLAB built-in functions and vectorization. Numerical experiments underline the efficiency of the code which is observed to be of almost linear complexity with respect to the runtime. Although the scope of this paper is on AFEM, the general ideas can be understood as a guideline for writing efficient MATLAB code.

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28

Wu, Di, Wei Chen, and Wei Ni. "Software Implementation of BeiDou B1I Code Generator Using Matlab/Simulink." Recent Patents on Computer Science 9, no. 1 (March 4, 2016): 74–80. http://dx.doi.org/10.2174/2213275908666150907183649.

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Conroy, J. P., and S. J. Radzevicius. "Compact MATLAB code for displaying 3D GPR data with translucence." Computers & Geosciences 29, no. 5 (June 2003): 679–81. http://dx.doi.org/10.1016/s0098-3004(03)00047-5.

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Thuneibat, Saed. "Development of MATLAB Code for m-ary PSK Constellation Diagram." IOSR Journal of Engineering 06, no. 07 (July 2016): 22–25. http://dx.doi.org/10.9790/3021-067012225.

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Patiris, D. L., K. Blekas, and K. G. Ioannides. "A MATLAB code for recognition and counting of track images." HNPS Proceedings 14 (December 5, 2019): 119. http://dx.doi.org/10.12681/hnps.2259.

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A computer program named TRIAC written in MATLAB has been developed for track recognition and track parameters measurements from images of Solid State Nuclear Track Detectors CR39. The program using image analysis tools counts the number of tracks and classifies the tracks according to their radii. Comparison of manual scanning counts with those output by the automatic system are presented for detectors exposed to a radon rich environment. The system was also tested to differentiate tracks recorded by alpha particles of different energies

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32

Challis, Vivien J. "A discrete level-set topology optimization code written in Matlab." Structural and Multidisciplinary Optimization 41, no. 3 (September 25, 2009): 453–64. http://dx.doi.org/10.1007/s00158-009-0430-0.

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33

Andreassen, Erik, Anders Clausen, Mattias Schevenels, Boyan S. Lazarov, and Ole Sigmund. "Efficient topology optimization in MATLAB using 88 lines of code." Structural and Multidisciplinary Optimization 43, no. 1 (November 20, 2010): 1–16. http://dx.doi.org/10.1007/s00158-010-0594-7.

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34

Sundararajan, N., V. Ramesh Babu, N. Shiva Prasad, and Y. Srinivas. "VLFPROS—A Matlab code for processing of VLF-EM data." Computers & Geosciences 32, no. 10 (December 2006): 1806–13. http://dx.doi.org/10.1016/j.cageo.2006.02.021.

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35

Borre, Kai. "The GPS Easy Suite–Matlab code for the GPS newcomer." GPS Solutions 7, no. 1 (April 4, 2003): 47–51. http://dx.doi.org/10.1007/s10291-003-0049-3.

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36

Sanders, Emily D., Anderson Pereira, Miguel A. Aguiló, and Glaucio H. Paulino. "PolyMat: an efficient Matlab code for multi-material topology optimization." Structural and Multidisciplinary Optimization 58, no. 6 (October 26, 2018): 2727–59. http://dx.doi.org/10.1007/s00158-018-2094-0.

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37

Tharwat, Montaser, Nader Mohamed, and T. Mongy. "Image enhancement using MCNP5 code and MATLAB in neutron radiography." Applied Radiation and Isotopes 89 (July 2014): 30–36. http://dx.doi.org/10.1016/j.apradiso.2014.02.004.

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38

Stocco, S., A. Godio, and L. Sambuelli. "Modelling and compact inversion of magnetic data: A Matlab code." Computers & Geosciences 35, no. 10 (October 2009): 2111–18. http://dx.doi.org/10.1016/j.cageo.2009.04.002.

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39

Warriner, William E., and Charles A. Monroe. "Open-Source MATLAB Code for Hotspot Identification and Feeder Generation." International Journal of Metalcasting 13, no. 4 (March 15, 2019): 793–816. http://dx.doi.org/10.1007/s40962-019-00316-1.

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40

G, Avinash, and Chandra Mohan Rao B.D.V. "MATLAB code for the design of high strength concrete mix." Materials Today: Proceedings 46 (2021): 8381–85. http://dx.doi.org/10.1016/j.matpr.2021.03.435.

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Liu, Jie, Li Min Zhang, and Zhao Gen Zhong. "Blind Recognition of Recursive System Convolutional Codes." Applied Mechanics and Materials 631-632 (September 2014): 816–19. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.816.

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Recursive system convolutional codes (RSC codes) are the commonly used coding form for Turbo sub-encoders. For blind recognition problem of RSC codes, a novel method is proposed to recognize code parameters and generator polynomials. Firstly, code parameters are estimated by analyzing matrix constructed from the received codeword. Then, the mathematical model for recognition of generator polynomials is derived according to RSC codes’ characteristics, and the specific implementation steps are introduced. Finally, simulation results from Matlab show that the performance of the method is obviously more excellent than other methods, which indicates great significance to further research on Turbo codes.

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Mostafa, Wessam, Eman Mohamed, and Abdelhalim Zekry. "Software implementation of LTE-advanced using Matlab Simulink." International Journal of Engineering & Technology 6, no. 4 (October 3, 2017): 116. http://dx.doi.org/10.14419/ijet.v6i4.7876.

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Long Term Evolution Advanced (LTE-A) is the evolution of the LTE that developed by 3rd Generation Partnership Project (3GPP).LTE-A exceeded International Telecommunication Union (ITU) requirements for 4th Generation (4G) known as International Mobile Telecommunications (IMT-Advanced). It is formally introduced in October 2009. This paper presents a study and an implementation of the LTE-A downlink physical layer based on 3GPP release 10 standards using Matlab simulink. In addition, it provides the LTE-A performance in terms of Bit Error Rate (BER) against Signal to Noise Ratio (SNR) for different modulation and channel coding schemes. Moreover, different scenarios of Carrier Aggregation (CA) are modeled and implemented. The Simulink model developed for the LTE-A transceiver can be translated into digital signal processor DSP code or VHDL on FPGA code.

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Li, Guo Hong, Wei Yan Lang, Xu Bai, and Hui Hu. "Design of FIR Digital Filter Based on CSD Code." Applied Mechanics and Materials 462-463 (November 2013): 619–22. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.619.

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A high precision FIR digital filter is achieved based on CSD code. The characteristic of CSD coding is described and the structure of the FIR filter based on time division multiplex is given. FIR filter coefficients is generated by fadtool of MATLAB . The digital filter module is designed by Verilog HDL and simulated under QUARTUS II and MATLAB environment. The results show that the design can improve the accuracy of data acquisition significantly and reduce the use of FPGA resource.

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Brondeel, Ruben, Yan Kestens, Javad Rahimipour Anaraki, Kevin Stanley, Benoit Thierry, and Daniel Fuller. "Converting Raw Accelerometer Data to Activity Counts Using Open-Source Code: Implementing a MATLAB Code in Python and R, and Comparing the Results to ActiLife." Journal for the Measurement of Physical Behaviour 4, no. 3 (September 1, 2021): 205–11. http://dx.doi.org/10.1123/jmpb.2019-0063.

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Background: Closed-source software for processing and analyzing accelerometer data provides little to no information about the algorithms used to transform acceleration data into physical activity indicators. Recently, an algorithm was developed in MATLAB that replicates the frequently used proprietary ActiLife activity counts. The aim of this software profile was (a) to translate the MATLAB algorithm into R and Python and (b) to test the accuracy of the algorithm on free-living data. Methods: As part of the INTErventions, Research, and Action in Cities Team, data were collected from 86 participants in Victoria (Canada). The participants were asked to wear an integrated global positioning system and accelerometer sensor (SenseDoc) for 10 days on the right hip. Raw accelerometer data were processed in ActiLife, MATLAB, R, and Python and compared using Pearson correlation, interclass correlation, and visual inspection. Results: Data were collected for a combined 749 valid days (>10 hr wear time). MATLAB, Python, and R counts per minute on the vertical axis had Pearson correlations with the ActiLife counts per minute of .998, .998, and .999, respectively. All three algorithms overestimated ActiLife counts per minute, some by up to 2.8%. Conclusions: A MATLAB algorithm for deriving ActiLife counts was implemented in R and Python. The different implementations provide similar results to ActiLife counts produced in the closed source software and can, for all practical purposes, be used interchangeably. This opens up possibilities to comparing studies using similar accelerometers from different suppliers, and to using free, open-source software.

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Du, Ru Jian, Jun Liu, and Yan Song Li. "Research of DSP Code Generation Based on Matlab-DSP Integrated Design." Applied Mechanics and Materials 551 (May 2014): 244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.551.244.

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The super capacitor can effectively prolong the operation of the energy storage system, improve its economic performance and power output capacity. But the design of the super capacitor is not perfect, the design method is also very troublesome.In this paper, through studying the different implementations of Matlab - DSP integrated design methods,I tried to find the optimal method to achieve the most simple and rapid Matlab - DSP integrated design. Build models in the Simulink, complete the design of the model, and convert it to DSP assembly language and download to the target board. The main process of this method is that the above steps. Apply this method in the design of the super capacitor , we can greatly speed up the development speed.

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46

Atkinson, Devan, and Thorsten Becker. "A 117 Line 2D Digital Image Correlation Code Written in MATLAB." Remote Sensing 12, no. 18 (September 8, 2020): 2906. http://dx.doi.org/10.3390/rs12182906.

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Digital Image Correlation (DIC) has become a popular tool in many fields to determine the displacements and deformations experienced by an object from images captured of the object. Although there are several publications which explain DIC in its entirety while still catering to newcomers to the concept, these publications neglect to discuss how the theory presented is implemented in practice. This gap in literature, which this paper aims to address, makes it difficult to gain a working knowledge of DIC, which is necessary in order to contribute towards its development. The paper attempts to address this by presenting the theory of a 2D, subset-based DIC framework that is predominantly consistent with state-of-the-art techniques, and discussing its implementation as a modular MATLAB code. The correlation aspect of this code is validated, showing that it performs on par with well-established DIC algorithms and thus is sufficiently reliable for practical use. This paper, therefore, serves as an educational resource to bridge the gap between the theory of DIC and its practical implementation. Furthermore, although the code is designed as an educational resource, its validation combined with its modularity makes it attractive as a starting point to develop the capabilities of DIC.

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Arai, Masatoshi, Tohru Eguchi, Haruyuki Ishida, and Norihiko Yoshida. "Combination of MATLAB/Simulink Models and Code Libraries by Extended UML." Transactions of the Institute of Systems, Control and Information Engineers 30, no. 6 (2017): 228–37. http://dx.doi.org/10.5687/iscie.30.228.

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Battista, Nicholas A., Austin J. Baird, and Laura A. Miller. "A Mathematical Model and MATLAB Code for Muscle–Fluid–Structure Simulations." Integrative and Comparative Biology 55, no. 5 (September 3, 2015): 901–11. http://dx.doi.org/10.1093/icb/icv102.

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Rasskazov, Ilia L., P. Scott Carney, and Alexander Moroz. "STRATIFY: a comprehensive and versatile MATLAB code for a multilayered sphere." OSA Continuum 3, no. 8 (August 14, 2020): 2290. http://dx.doi.org/10.1364/osac.399979.

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Smith, Hollis, and Julián A. Norato. "A MATLAB code for topology optimization using the geometry projection method." Structural and Multidisciplinary Optimization 62, no. 3 (March 23, 2020): 1579–94. http://dx.doi.org/10.1007/s00158-020-02552-0.

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