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Journal articles on the topic 'Code matlab'

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Published: 4 June 2021

Last updated: 18 May 2024

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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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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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4

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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8

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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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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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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13

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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14

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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15

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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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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17

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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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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T. Sasikala. "Cross layered adaptive rate optimized irregular LDPC for WSN." International Journal of Science and Research Archive 11, no. 2 (April 30, 2024): 1668–74. http://dx.doi.org/10.30574/ijsra.2024.11.2.0655.

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This paper proposes a cross layered adaptive rate optimized technique that uses irregular low-density parity-check (LDPC) codes over an additive white Gaussian noise (AWGN) channel in wireless sensor networks (WSNs). Irregular LDPC is used as error control code. Cross layer design along with error control code gives the energy balance in the network. This new algorithm uses the physical layer parameters such as coherence time of the channel, BER and SNR and the routing layer parameter such as demanded data rate to determine the rate of the LDPC coder. The algorithm adaptively changes the code rates as ¾, ½, and 1/3. We have conducted the simulations to verify our methods using MATLAB and find that the proposed scheme increases the network performance in terms of energy balance and quality of data by using irregular LDPC codes in the cross-layer environment.

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Maksymov, Volodymyr, Vyacheslav Noskov, and Igor Khrapovytsky. "NEW BARKER’s COMPOSITE CODES AS MODULATION SIGNALS IN BROADBAND COMMUNICATION SYSTEMS." Information and Telecommunication Sciences, no. 2 (December 19, 2022): 15–20. http://dx.doi.org/10.20535/2411-2976.22022.15-20.

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Background. Currently noise-like signals (NLS) are widely used and provide high level of jamming immunity and security in broadband communication systems (BСS) when transmitting confidential information in an open radio channel, especially in emergencies. Increasing the efficiency of the NLS is possible when using more advanced code structures. Objective. The purpose of this research is to study new Barker’s composite codes as modulation signals in broadband communication systems. Method. Simulation modeling based on MatLab software package and analytical calculation methods are used. Results. Modeling in the MatLab software package showed the possibility for using new Barker’s composite codes as modulation signals in direct spread spectrum systems but efficiency depends on code words length as well as type synchronization signal. Conclusions. Analysis of research results shows that the new Barker composite codes 21a, 33a, 49, 77a, 121 can be effectively used as modulation code words in broadband systems with direct spectrum expansion.

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21

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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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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Yeshiwas, Zeradam, and A. Krishniah. "Spiral Toolpath Definition and G-code Generation for Single Point Incremental Forming." Journal of Mechanical Engineering 17, no. 1 (April 1, 2020): 91–102. http://dx.doi.org/10.24191/jmeche.v17i1.15221.

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The research to date has not been able to confirm earlier findings showing the commercial availability of the tool path definition package for Single Point Incremental Forming (SPIF). There has been substantial research undertaken on the tool-path definition for SPIF by using CAM package or Matlab script. However, the coordinate points from Matlab must get changed to G-code to introduce in the CNC mill. Previous studies on SPIF have not dealt with the conversion of Matlab script into G-code. In the current study, a methodology has been proposed to convert the tool path trajectories generated using Matlab script into G-code. Three different shapes i.e. the truncated cone, pyramid, and hyperbola were chosen for the definition of tool-path trajectory. The method was tested using Simco edit software and successfully working. This study fills a gap in the literature by introducing a method to convert Matlab script into G-code.

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Zheng, Ran, Bing Yi, Xiang Peng, and Gil-Ho Yoon. "An Efficient Code for the Multi-Material Topology Optimization of 2D/3D Continuum Structures Written in Matlab." Applied Sciences 14, no. 2 (January 12, 2024): 657. http://dx.doi.org/10.3390/app14020657.

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This paper presents an efficient and compact Matlab code for 2D and 3D topology optimization of multi-materials. We extend a classical 88-line-based educational code to the multi-material problem using the mapping-based interpolation function, with which each material is modeled equally and can obtain a clear 0, 1 result for each material of the optimized structures that can be manufactured easily. A solution of topology optimization of multi-materials with minimum compliance under volume constraints is documented, including the details of the optimization model, filtering, projection, and sensitivity analysis procedures. Several numerical examples are also conducted to demonstrate the effectiveness of the code, and the influence of the parameter on the optimized results is also analyzed. Complete 2D and 3D Matlab codes are provided.

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Sari, Delima Yanti, Ambiyar, Hendri Nurdin, and Purwantono. "MATLAB GUI based code for acceleration analysis in learning of kinematics." Journal of Physics: Conference Series 2582, no. 1 (September 1, 2023): 012024. http://dx.doi.org/10.1088/1742-6596/2582/1/012024.

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Abstract In this study, a code or computer program has been developed as an educational material for courses on kinematics. This code is expected to help the learning of kinematic which mostly uses analysis of velocity and acceleration graphically. By using this code, explanation of velocity and acceleration analysis can be performed by the code/computer program, instead of using the ruler and protractor manually. This eases the teacher and student in learning of kinematic. The code is written based on MATLAB. GUI (Graphical User Interface) is used to make this code as a user friendly kinematic learning media. The calculation of velocity and acceleration is performed based on the method of relative velocity and relative acceleration. This code provides tutorial of velocity and acceleration analysis which is displayed in the GUI screen. The animation of movement and its trajectory is also displayed. In this present research work, acceleration analysis on slider crank mechanism created by the code is presented. The results is compared with the theoritical calculation and the differences are less than 1%. Therefore, the code is considered acceptable and feasible to enrich the learning experience in kinematics.

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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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Aussal, Matthieu, Marc Bakry, and Laurent Series. "Castor: A C++ library to code “à la Matlab”." Journal of Open Source Software 7, no. 71 (March 16, 2022): 3965. http://dx.doi.org/10.21105/joss.03965.

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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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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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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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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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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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DEMİR, Musa, and Faruk GÜNER. "Generating a Matlab Code with Parameter Optimization in Gearbox." Karadeniz Fen Bilimleri Dergisi 12, no. 2 (December 15, 2022): 1098–107. http://dx.doi.org/10.31466/kfbd.1140880.

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One of the most important engineering problems today is the optimization of systems and process parameters. Optimization is one of the longest and most costly steps to conclude for many multidisciplinary studies. Numerical analysis has been a widely applied approach to reduce this cost of time and money. In this study, first of all, a gearbox with geometric dimensions is modeled using Matlab commercial package software. The created model was then subjected to finite element analysis via student version of Ansys commercial package. The strength of the system was examined over the stress and deformation values obtained in those analysis. Considering the equivalent von Mises stress values obtained in the study, a maximum 200 MPa design on the gear wheels and a two-fold safe design according to the yield limit was revealed. In addition, a Matlab software that reveals the welding path for the reducer outer sleeve and jib crane has also been produced in this study.

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Alkhalidi, Ahmed A. H., Mujtaba Zuhair Ali, and Mohsen Naeem Yasser. "Some New Properties on Block Matrices Using MATLAB Code." Mathematical Modelling of Engineering Problems 9, no. 6 (December 31, 2022): 1603–12. http://dx.doi.org/10.18280/mmep.090621.

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In this article, we study some new properties of the block matrices. Introduce the methods for finding the block matrices of any matrix. We prove some of these methods by using the matrix analysis methods. Some results of this paper are proved by using the permutations of matrices of the block matrices. In the last of this study, some examples are introduced to explain the results of this work and we give some MATLAB code in the appendix to explain the results of this article.

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Azeez, Halgurd N., and Abdulqader O. Ameen. "SOLVING STOCHASTIC TRANSPORTATION ELECTRICITY PROBLEM WITH FUZZY INFORMATION ON PROBABILITY DISTRIBUTION USING MATLAB PROGRAM." Science Journal of University of Zakho 12, no. 1 (March 30, 2024): 116–37. http://dx.doi.org/10.25271/sjuoz.2024.12.1.1212.

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This study focuses on MATLAB code programs of the entire stages of solving Stochastic Transportation Linear Programming Problems with Fuzzy Uncertainty Information on Probability Distribution Space (STLPPFI) with its algorithm outlines. A MATLAB code program of STLPPFI problem solver with algorithm outlines are proposed to solve STLPPFI model problems, and it utilizes many concepts as Alpha-Cut technique, Truth Degrees technique, Linear Fuzzy Membership Function (LFMF), Trapezoidal Fuzzy Number , Triangular Fuzzy Number , Linear Fuzzy Ranking Function (LFRF), Expectation Weighted Summation technique (EWS) and analyzing cases via second condition test of alpha-cut technique. The STLPPFI problem solver is utlized to convert STLPPFI into its corresponding equivalent Deterministic Transportation Linear Programming Problem (DTLPP) via defuzzifying from fuzziness on probability distribution space and derandomization randomness of problem formulation respectively. In addition, Dual-Simplex algorithm method with Vogel Approximation Algorithm Method (VAM) are used to obtain optimal solution from DTLPP. All MATLAB code programs with their proposed algorithm outlines are new except Dual-Simplex and VAM. The MATLAB code program of STLPPFI problem solver are more efficient along with a numerical example on electricity field illustrating practicability of this proposed MATLAB code program with its algorithm. Finally, the solution procedure illustrates the MATLAB code program of the proposed method is practical and applicable in the fields of energy and industry as it facilitates the method of transforming the energy at the lowest cost, least time running and is commercially applicable. Comparative comments are provided between Dual-Simplex and VAM in solution process.

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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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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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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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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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Sharma, Anand, and Praneesh Gupta. "Blind Recognition of Parameters of Reed Solomon Code from Intercepted Erroneous Codewords." Defence Science Journal 71, no. 6 (October 22, 2021): 772–76. http://dx.doi.org/10.14429/dsj.71.15047.

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Error correcting codes are designed for reliable transmission of digital information over a noisy channel. Several papers have been published on blind identification of binary FEC codes but papers reported on the identification of non-binary error correcting codes are less. Due to its strong error correction capability, RS (Reed-Solomon) code is being used widely. So technique for blind recognition of RS code is required to analyse intercepted signal as well as for intelligent communication. This paper presents a technique for extraction of parameters of Reed-Solomon code from intercepted demodulated bitstream. The proposed algorithm is very simple and hence it is very practical for hardware implementation. Our approach has been verified using MATLAB simulation.

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Shinakov, Yuri S., and Marcelo Sampaio de Alencar. "OBJECT PROGRAMMING IN MATLAB RADIO ENGINEERING APPLICATIONS." SYNCHROINFO JOURNAL 9, no. 1 (2023): 2–8. http://dx.doi.org/10.36724/2664-066x-2023-9-1-2-8.

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System objects integrate well with the MATLAB programming language, both when writing simple functions that work interactively in the command window, and when creating large applications. In contrast to MATLAB functions, system objects automatically manage state information, data indexing, and buffering, which is especially useful for iterative calculations or streaming data processing. Such an organization of calculations makes it possible to efficiently process long data arrays. System objects support fixed-point arithmetic and C-code generation from MATLAB and SIMULINK. With system objects, you can generate code for a computer or for an external device. System objects can be used in SIMULINK models in the form of MATLAB function blocks. The issues of the methodology for using MATLAB program modules (files), which are usually called system objects, are discussed. Each such object is a simulation computer model of a real radio engineering device or radio engineering system. Examples of such system objects are given and the effectiveness of their use in the educational process at a technical university is illustrated.

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Mona Magdy Badawy, Anas Saber Zainud-Deen, Hend Abd El-Azem Malhat, and Shaymaa Mostafa Gaber. "Beam Steering using Space-Time Modulated Coding Metasurface Based on Reconfigurable Plasma Ionization." Journal of Advanced Research in Applied Sciences and Engineering Technology 44, no. 1 (April 26, 2024): 151–59. http://dx.doi.org/10.37934/araset.44.1.151159.

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This paper explores the use of space-time coding in beam steering, using 1-bit, 2-bit, and 3-bit reconfigurable coded meta-surfaces. By periodically changing the code arrangement in the time domain, a metasurface with code order in space and time is achieved. Selected codes are used to steer the beam in different directions for radar sensing systems applications. The phase of the harmonic signal is changed by controlling the position of different bits in each code sequence. The construction of 8×8 unit-cell elements (120×120×3.2 mm3) involves the use of a grounded dielectric container filled with inert-argon gas. The metasurface logic-state is controlled via the ionization degree of inert-gas with time-switching controlling the harmonic frequencies. Different time-switching sequences are investigated for beam steering. The proposed coding metasurface is analysed using CST Microwave Studio and the results are compared with the analytical solution using MATLAB.

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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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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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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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Black, Travis J., and Alexei F. Cheviakov. "3DRSP: Matlab-based random sphere packing code in three dimensions." SoftwareX 18 (June 2022): 101051. http://dx.doi.org/10.1016/j.softx.2022.101051.

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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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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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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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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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