Suchergebnisse - simple operator decoding algorithm

Matrix inversion-less direct decoding for efficient channel estimation in fifth-generation massive MIMO systems von Zafar, Mohammad Haseeb, Khan, Imran, Basheri, Mohammed

“… In combination with increasing the number of base BS antennas to optimise user channel characteristics, a simple operator decoding algorithm is designed to realise direct decoding without estimating the channel. Simulation results show that the proposed algorithms can effectively reduce the computational complexity while ensuring system performance …”
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On optimal and near-optimal turbo decoding using generalized max operator von Papaharalabos, S., Mathiopoulos, P., Masera, G., Martina, M.

“… * operator is presented. Using this approach, the max* operator is approximated by means of a generic and yet very simple max operator, instead of using additional correction term as previous approximation methods require …”
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A genetic-algorithm-based approach to the two-echelon capacitated vehicle routing problem with stochastic demands in logistics service von Wang, Kangzhou, Lan, Shulin, Zhao, Yingxue

“… A genetic-algorithm-based (GA) approach is proposed to solve the 2E-CVRPSD …”
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Proximal Decoding for LDPC-coded Massive MIMO Channels von Wadayama, Tadashi, Takabe, Satoshi

“… The code proximal operator is naturally derived from code-constraint polynomials. The proposed algorithm, called proximal decoding, can be described by a simple …”
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A modified teaching-learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling von Shen, Jing-nan, Wang, Ling, Zheng, Huan-yu

“… ) with the makespan and the total tardiness criteria. Based on the simple job-based representation, a novel decoding method named equivalent due date-based permutation schedule is proposed to transfer an individual to a feasible schedule …”
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Decoding the Entanglement Structure of Monitored Quantum Circuits von Yoshida, Beni

“… The dual classical code is constructed from spacetime patterns of out-of-time ordered correlation functions among local operators and measured Pauli operators in the past, suggesting that the volume …”
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Clifford Code Constructions of Operator Quantum Error-Correcting Codes von Klappenecker, A., Sarvepalli, P.K.

“… Character-theoretic methods are used to derive a simple method to construct operator quantum error-correcting codes from any classical additive code over a finite field, which obviates the need …”
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Optimization of Multi-Execution Modes and Multi-Resource-Constrained Offshore Equipment Project Scheduling Based on a Hybrid Genetic Algorithm von Zhou, Qi, Li, Jinghua, Dong, Ruipu, Zhou, Qinghua, Yang, Boxin

“… ). To solve RCPSP problems in offshore engineering construction more rapidly, a hybrid genetic algorithm was established …”
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Multitask bilateral learning for real‐time image enhancement von Kong, Kyeongbo, Lee, Junggi, Song, Woo‐Jin, Kang, Minsung, Kwon, Kyung Joon, Kim, Seong Gyun

“… For multitask learning, the overall network is based on an encoder‐decoder architecture, which consists of encoding, processing, and decoding components, in which the encoding and decoding components are shared by all the image processing operators …”
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Proximal Decoding for LDPC-coded Massive MIMO Channels von Wadayama, Tadashi, Takabe, Satoshi

“… The code proximal operator is naturally derived from code-constraint polynomials. The proposed algorithm, called proximal decoding, can be described by a simple …”
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Two-sided assembly line balancing problem of type I: Improvements, a simple algorithm and a comprehensive study von Li, Zixiang, Tang, Qiuhua, Zhang, LiPing

“… them are very complex or intricate to be extended. In addition, different decoding schemes and different objectives have been proposed, leading to the different performances of these algorithms and unfair comparison …”
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Non-recursive max operator with reduced implementation complexity for turbo decoding von Papaharalabos, S., Mathiopoulos, P.T., Masera, G., Martina, M.

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Modeling and scheduling no-wait open shop problems von Naderi, B., Zandieh, M.

“… Besides the models, we propose novel metaheuristics based on genetic and variable neighborhood search algorithms to solve the large-sized problems in an acceptable computational time …”
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An Optimized Resource Efficient Approximation of max Operator for Recalculation in Turbo Code Decoder von Zhan, Ming, Wu, Jun, Wen, Hong

“… Calculation of the proposed max* operator includes two correction terms, and each one is approximated by using simple comparing, shifting and addition operations …”
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Real-domain decoder for full-rate full-diversity STBC with multidimensional constellations von Lee, H., Cho, J., Kim, J.-K., Lee, I.

“… In this letter, we present a new maximum likelihood (ML) decoding algorithm for space time block codes (STBCs …”
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A simple algorithm for the reduction of blocking artifacts in images and its implementation von Castagno, R., Marsi, S., Ramponi, G.

“… A simple but effective operator for the reduction of blocking artifacts is presented, together with a simple hardware implementation …”
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Modified Log-MAP Algorithm for Simplified Decoding of Turbo and Turbo TCM Codes von Papaharalabos, S., Sybis, M., Tyczka, P., Mathiopoulos, P.T.

“… A novel method for approximating the optimal max* operator in Log-MAP decoding of turbo and turbo trellis-coded modulation (TTCM) codes is presented. The max …”
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Interface for Data Protection and Integrity in IoT Equipment for Industry von Belu, N., Ionescu, L.M., Mazare, A.G.

“… Presently, industrial processes are increasingly based on the equipment that communicates with each other. IoT is present in all branches of the manufacturing …”
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Fast Decoding and Parameters Selection for CS-JPEG Video Codec von Belyaev, Evgeny

“… At the decoder side, an iterative soft thresholding algorithm (ISTA) with video block-matching and 3D filtering (VBM3D …”
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Comparing algorithms, representations and operators for the multi-objective knapsack problem von Colombo, G., Mumford, C.L.

“… ) and SEAMO2 (simple evolutionary algorithm for multi-objective optimization, version 2). For each algorithm, we try two representations …”
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