Stopping criteria for channel estimation for turbo decoding over flat fading channel by Srivastava Richa.

“…In this dissertation, we first study the encoding and decoding of turbo codes followed by the iterative channel estimation for turbo codes in flat fading channel and finally we investigate various stopping criteria for iterative channel estimation for turbo decoding. …”
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Numerical performance of AOR methods in solving first order composite closed Newton-Cotes quadrature algebraic equations by Muthuvalu, Mohana Sundaram, Aruchunan, Elayaraja, Koh, Wei Sin, Md Akhir, Mohd Kamalrulzaman, Sulaiman, Jumat, Abdul Karim, Samsul Ariffin

“…In addition, numerical results by solving several test problems are included and compared with the conventional iterative methods.…”
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A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique by Nur Aisyah Syafinaz, Suarin, Pebrianti, Dwi, Bayuaji, Luhur, Muhammad, Syafrullah, Zulkifli, Musa

“…It is shown that BA outperformed PSO technique with less number of iterations and higher accuracy.…”
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Quantum correction hardware accelerator design on FPGA by Cao, Hongyu

“…In order to reduce hardware consumption, the bitwidths and number of iterations are reduced, which further leads to a decrease in accuracy. …”
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Simulation of space-time processing techniques for wireless communications by Goh, Keng Wee

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Improving particle swarm optimization via adaptive switching asynchronous – synchronous update by Ab. Aziz, Nor Azlina, Ibrahim, Zuwairie, Mubin, Marizan, Nawawi, Sophan Wahyudi, Mohamad, Mohd Saberi

“…Particle swarm optimization (PSO) is a population-based metaheuristic optimization algorithm that solves a problem through iterative operations. Traditional PSO iteration strategies can be categorized into two groups: synchronous (S-PSO) or asynchronous (A-PSO) update. …”

Multi-objective service restoration in distribution networks using genetic algorithm by Moazami, Ehsan

“…According to the comparison of the result of thesis with other previous work,it can be observed that reducing the number of iteration is significantly reduced. Results shows very low iteration number and low computation burden compare to other previous works.…”
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Hybrid of firefly algorithm and pattern search for solving optimization problems by Wahid, Fazli, Ghazali, Rozaida

“…In the firefly changing position stage, the randomization factor is used to update the solution in each iteration of operational stages. In the final stage, the optimized values obtained from the FA during its maximum number of iteration are given as inputs to the pattern search algorithm. …”
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Sliding window soft-SCL decoders for asynchronous polar-coded modulation by Hu, Yaoyue, Pan, Zhiwen, Liu, Xiaobei, Guan, Yong Liang, You, Xiaohu

“…To further improve the performance of A-PCM, a cyclic-redundancy-check (CRC) aided sliding window soft successive cancellation list (CA-SWSCL) decoder is proposed to exploit the benefits of spatial coupling and CRC-aided iterative message passing. This approach includes both soft-output and hard-output iteration processes, where the CRC results are not only used for early termination but also served as an execution flag of the hard-output iteration process. …”
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Low-complexity single-channel blind separation of co-frequency coded signals by Liu, Xiaobei, Guan, Yong Liang, Koh, Soo Ngee, Liu, Zilong, Wang, Peng

“…In this letter, we propose a low-complexity SCBSS (LC-SCBSS) scheme, which reduces the computational complexity of the conventional iterative SCBSS by using interference-cancellation from the second iteration onward, and adaptive channel truncation for certain users. …”
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Examination of half-sweep closed newton–cotes quadrature schemes in solving dense system by Elayaraja Aruchunan, Mohana Sundaram Muthuvalu, Zailan Siri, Sachin Sharma Ashok Kumar, Jumat Sulaiman, Chew Tze Cheng @ Nur Alesha Chew, Majid Khan Majahar Ali

“…The main objective of this research is to apply and analyse the performance of the half-sweep iteration concept to the low order to high order Newton–Cotes and finite difference schemes via the Fredholm integro-differential equations to form a system of linear equations. …”
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Numerical solution of nonlinear diffusion in one dimensional porous medium using hybrid SOR method by Jackel Vui Lung Chew, Elayaraja Aruchunan, Andang Sunarto, Jumat Sulaiman

“…This paper proposes a hybrid successive over-relaxation iterative method for the numerical solution of a nonlinear diffusion in a one-dimensional porous medium. …”
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Phase retrieval using spatially modulated illumination by Gao, Peng, Pedrini, Giancarlo, Zuo, Chao, Osten, Wolfgang

“…Both the deterministic and iterative phase reconstructions are demonstrated by experiments.…”
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Half-Sweep Arithmetic Mean method with composite trapezoidal scheme for solving linear Fredholm integral equations. by Mohana SundaramMuthuvalu, Jumat Sulaiman

“…The main aim of this paper is to examine the effectiveness one of the two-stage iterative method known as Half-Sweep Arithmetic Mean (HSAM) method in solving the dense linear systems generated from the discretization of the first and second kinds of linear Fredholm integral equations. …”
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Accelerating convergence in Bayesian operational modal analysis with Fisher information matrix by Zhu, Zuo, Au, Siu-Kui, Li, Binbin

“…The MPV estimate in each iteration is updated based on two characteristic types of principal directions of the FIM. …”
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Online bit error rate estimation-based stopping criterion for turbo decoding by Mohamad, Roslina

“…Iterative turbo decoding is crucial for achieving superior bit error rate (BER)performance. …”
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Development of an AI-powered exchange platform (II) by Lim, Shi Han

“…Building upon the foundation of a previous iteration, this improved version aims to provide a more robust and feature-rich environment for cryptocurrency investors. …”
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Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim by Muhamud Naim, Mohd Zulhelmi

“…Then, the image is resized to allow faster iterations of the Active Contours. Next, iteration process of Active Contours Model to detect the boundary of the ear and segment the ear from the rest of the image. …”
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Improving particle swarm optimization via adaptive switching asynchronous – synchronous update by Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Marizan, Mubin, Sophan Wahyudi, Nawawi, Mohd Saberi, Mohamad

“…Particle swarm optimization (PSO) is a population-based metaheuristic optimization algorithm that solves a problem through iterative operations. Traditional PSO iteration strategies can be categorized into two groups: synchronous (S-PSO) or asynchronous (A-PSO) update. …”
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Partitioning ordinary differential equations using Runge-Kutta methods by Suleiman, Mohamed, Ismail, Fudziah, Mohd Atan, Kamel Ariffin

“…A few problems are solved using three-stage semi-implicit Runge-Kutta method. Newton iteration is used for the stiff part and simple iteration for the nonstiff. …”
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