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1

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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2

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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3

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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4

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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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

Abdelhadi, Ahmed, and Michael Ghorbanzadeh. Practical Channel-Aware Resource Allocation: With MATLAB and Python Code. Springer International Publishing AG, 2021.

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12

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

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13

Chhantyal, Khim. Machine Learning Regression with MATLAB Examples: Learn to Code from Scratch. Independently Published, 2022.

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14

Chhantyal, Khim. Machine Learning Regression with MATLAB Examples: Learn to Code from Scratch. Independently Published, 2022.

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15

MATLAB code for selectable constant average picture level test image generation. Society for Information Display, 2023. http://dx.doi.org/10.55410/jshq9099.

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16

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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17

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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18

Fredrickson, Daniel C. Bonding Through Code: Theoretical Models for Molecules and Materials. Taylor & Francis Group, 2020.

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19

Fredrickson, Daniel C. Bonding Through Code: Theoretical Models for Molecules and Materials. Taylor & Francis Group, 2020.

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20

Bonding Through Code: Theoretical Models for Molecules and Materials. Taylor & Francis Group, 2020.

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21

Natheem, Arsath. Digital Image Processing Using MATLAB: ZERO to HERO Practical Approach with Source Code. Independently Published, 2017.

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22

Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB. Springer, 2006.

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23

Qureshi, Shehrzad. Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB. Springer, 2014.

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24

Qureshi, Shehrzad. Embedded Image Processing on the TMS320C6000 DSP: Examples in Code Composer Studio and MATLAB. Springer London, Limited, 2005.

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25

Ramamurthy, Karthikeyan, and Andreas Spanias. MATLAB® Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016. Springer International Publishing AG, 2010.

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26

Lie, Knut-Andreas, and Olav Møyner, eds. Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge University Press, 2021. http://dx.doi.org/10.1017/9781009019781.

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Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to the open-source MRST software. It is however a self-contained introduction to a variety of modern numerical methods for simulating multiphase flow in porous media, with applications to geothermal energy, chemical enhanced oil recovery (EOR), flow in fractured and unconventional reservoirs, and in the unsaturated zone. The reader will learn how to implement new models and algorithms in a robust, efficient manner. A large number of numerical examples are included, all fully equipped with code and data so that the reader can reproduce the results and use them as a starting point for their own work. Like the original textbook, this book will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods.
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27

Colour Gamut Volume Software. Society for Information Display, 2021. http://dx.doi.org/10.55410/bjxb8678.

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The code in this section is written in MATLAB format. It serves as a reference for the calculation of Color Gamut Envelope (Section 5.32), CIELAB Gamut Volume (Section 5.32.1), CIELAB Gamut Intersection (Section 5.32.2) and CIELAB Gamut Ring Diagram (Section 5.32.3). The code is fully functional and can be used directly to calculate Gamut Envelope results. It is intended that the reader can review the implementation contained in this source code to create functioning software in the user’s desired programming language. The code contained here also serves as an official reference to verify code created by the user or obtained elsewhere.
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28

MATLAB Codes for Finite Element Analysis. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9200-8.

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29

Kaveh, Ali, and Taha Bakhshpoori. Metaheuristics: Outlines, MATLAB Codes and Examples. Springer, 2019.

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30

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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31

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. CRC Press, 2010. http://dx.doi.org/10.1201/b17374.

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32

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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33

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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34

Vittoria, Carmine. Magnetics, Dielectrics, and Wave Propagation with MATLAB Codes. Taylor & Francis Group, 2010.

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35

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Incorporated, John, 2016.

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36

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Limited, John, 2016.

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37

Khatib, Tamer, and Wilfried Elmenreich. Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes. Wiley & Sons, Incorporated, John, 2016.

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38

Ferreira, A. J. M. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer, 2014.

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39

Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer International Publishing AG, 2021.

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40

Ferreira, Antonio J. M., and Nicholas Fantuzzi. MATLAB Codes for Finite Element Analysis: Solids and Structures. Springer, 2020.

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41

Pavlovskis, Pēteris. Analysis of Two Actual Problems of Interlaminar Fracture Assessment of Layered Composite. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228148.

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Two types of specimens were studied based on applying the nonlinear theory of flexible plates to obtain the interlaminar fracture toughness of layered composites. For a specimen of the thin sub-layer type, a theoretical solution was obtained in relation to the determination of the interlaminar fracture toughness for a mixed II/I mode. The fundamental possibility of using this solution in test practice was confirmed. The application of the nonlinear theory of flexible plates to the well-known standard specimen of the double-cantilever beam (DCB) was studied in more detail. A theoretical solution was obtained, an iterative algorithm for processing test results based on MATLAB code was developed, highly flexible glass fiber reinforced polymer (GFRP) specimens were tested and their comparison with the results of processing according to the ASTM D 5528-01 standard with correction of the linear solution was given.
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42

Hajiabbas, Mahmoud Pesaran, and Behnam Mohammadi-Ivatloo. Optimization of Power System Problems: Methods, Algorithms and MATLAB Codes. Springer International Publishing AG, 2021.

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43

Sun, Yichuang, Fabien Delestre, and Gbenga Owojaiye. Space Time Block Codes with MATLAB for MIMO Wireless Communications. Wiley & Sons, Limited, John, 2012.

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44

Hajiabbas, Mahmoud Pesaran, and Behnam Mohammadi-Ivatloo. Optimization of Power System Problems: Methods, Algorithms and MATLAB Codes. Springer, 2020.

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45

Sun, Yichuang, Fabien Delestre, and Gbenga Owojaiye. Space Time Block Codes with MATLAB for MIMO Wireless Communications. Wiley & Sons, Incorporated, John, 2023.

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46

Asadi, Farzin. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Morgan & Claypool Publishers, 2018.

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47

Oosterlee, Cornelis W., and Lech a. Grzelak. Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes. World Scientific Publishing UK Limited, 2019.

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48

Oosterlee, Cornelis W., and Lech A. Grzelak. Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes. World Scientific Publishing UK Limited, 2019.

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49

Hudgins, Jerry, and Farzin Asadi. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Morgan & Claypool Publishers, 2018.

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50

Asadi, Farzin. Robust Control of DC-DC Converters: The Kharitonov's Theorem Approach with MATLAB® Codes. Springer International Publishing AG, 2018.

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