The Experts below are selected from a list of 4752 Experts worldwide ranked by ideXlab platform
Shanjin Ni - One of the best experts on this subject based on the ideXlab platform.
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Genetic Algorithm Based Prototype Filter Design for Oriented Side Lobe Energy Suppression in FBMC System
IEEE Access, 2020Co-Authors: Junhui Zhao, Siying Lv, Lihua Yang, Shanjin NiAbstract:The Prototype Filter design problem is investigated for the Filter bank multicarrier (FBMC) system of the fifth generation (5G) physical-layer wireless communications. In order to further suppress the side lobe energy within a certain frequency range, different constraint factors need to be introduced to meet the various side lobe energy suppression demands. In this paper, we formulate a dual-objective optimization problem which minimizes the stopband energy with constrained factors and subjects to the ISI/ICI constraints. Considering the uncertain constrained factors, a suboptimization problem is proposed by constraining the total stopband energy and the side lobe energy of the first segment to minimize the side lobe energy of the second or the third segments. Then, the nested sequential quadratic program-genetic algorithm (NSGA), one of the artificial intelligence (AI) aided algorithms, is introduced to obtain the optimal solution of the dual-objective problem, in which the genetic algorithm (GA) is applied to acquire the optimal constrained factors and the sequential quadratic program (SQP) is applied to acquire the optimal Filter coefficients. Numerical results validate that the proposed method can achieve orientated side lobe energy suppression at specified segments for satisfying different side lobe energy suppression requirements with the confirmed algorithm convergence.
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WCSP - Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
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Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
Junhui Zhao - One of the best experts on this subject based on the ideXlab platform.
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Genetic Algorithm Based Prototype Filter Design for Oriented Side Lobe Energy Suppression in FBMC System
IEEE Access, 2020Co-Authors: Junhui Zhao, Siying Lv, Lihua Yang, Shanjin NiAbstract:The Prototype Filter design problem is investigated for the Filter bank multicarrier (FBMC) system of the fifth generation (5G) physical-layer wireless communications. In order to further suppress the side lobe energy within a certain frequency range, different constraint factors need to be introduced to meet the various side lobe energy suppression demands. In this paper, we formulate a dual-objective optimization problem which minimizes the stopband energy with constrained factors and subjects to the ISI/ICI constraints. Considering the uncertain constrained factors, a suboptimization problem is proposed by constraining the total stopband energy and the side lobe energy of the first segment to minimize the side lobe energy of the second or the third segments. Then, the nested sequential quadratic program-genetic algorithm (NSGA), one of the artificial intelligence (AI) aided algorithms, is introduced to obtain the optimal solution of the dual-objective problem, in which the genetic algorithm (GA) is applied to acquire the optimal constrained factors and the sequential quadratic program (SQP) is applied to acquire the optimal Filter coefficients. Numerical results validate that the proposed method can achieve orientated side lobe energy suppression at specified segments for satisfying different side lobe energy suppression requirements with the confirmed algorithm convergence.
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WCSP - Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
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Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
Siying Lv - One of the best experts on this subject based on the ideXlab platform.
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Genetic Algorithm Based Prototype Filter Design for Oriented Side Lobe Energy Suppression in FBMC System
IEEE Access, 2020Co-Authors: Junhui Zhao, Siying Lv, Lihua Yang, Shanjin NiAbstract:The Prototype Filter design problem is investigated for the Filter bank multicarrier (FBMC) system of the fifth generation (5G) physical-layer wireless communications. In order to further suppress the side lobe energy within a certain frequency range, different constraint factors need to be introduced to meet the various side lobe energy suppression demands. In this paper, we formulate a dual-objective optimization problem which minimizes the stopband energy with constrained factors and subjects to the ISI/ICI constraints. Considering the uncertain constrained factors, a suboptimization problem is proposed by constraining the total stopband energy and the side lobe energy of the first segment to minimize the side lobe energy of the second or the third segments. Then, the nested sequential quadratic program-genetic algorithm (NSGA), one of the artificial intelligence (AI) aided algorithms, is introduced to obtain the optimal solution of the dual-objective problem, in which the genetic algorithm (GA) is applied to acquire the optimal constrained factors and the sequential quadratic program (SQP) is applied to acquire the optimal Filter coefficients. Numerical results validate that the proposed method can achieve orientated side lobe energy suppression at specified segments for satisfying different side lobe energy suppression requirements with the confirmed algorithm convergence.
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WCSP - Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
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Prototype Filter Design Using Genetic Algorithm for Orientated Sidelobe Energy Suppression in FBMC
2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019Co-Authors: Siying Lv, Junhui Zhao, Shanjin NiAbstract:This paper considers the design problem of the Prototype Filter in the Filter bank multicarrier (FBMC) system. In order to further suppress the sidelobe energy within a certain frequency range, a novel constrained factors based dual-objective Prototype Filter optimization methodology is proposed to meet the different sidelobe energy suppression demands. Specifically, we have employed the nested sequential quadratic program-genetic algorithm (NSQPGA) to solve the dual-objective problem, in which the genetic algorithm (GA) is applied to obtain the optimal constrained factors and the sequential quadratic program (SQP) to obtain the optimal Filter coefficients. Numerical results illustrate that the proposed method has the capability to achieve orientated sidelobe energy suppression at specified segments for satisfying different sidelobe energy suppression requirements.
Hitoshi Ohmuro - One of the best experts on this subject based on the ideXlab platform.
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Accurate adaptive Filtering in square-root Hann windowed short-time fourier transform domain
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014Co-Authors: Suehiro Shimauchi, Hitoshi OhmuroAbstract:A novel short-time Fourier transform (STFT) domain adaptive Filtering scheme is proposed that can be easily combined with nonlinear post Filters such as residual echo or noise reduction in acoustic echo cancellation. Unlike normal STFT subband adaptive Filters, which suffers from aliasing artifacts due to its poor Prototype Filter, our scheme achieves good accuracy by exploiting the relationship between the linear convolution and the poor Prototype Filter, i.e., the STFT window function. The effectiveness of our scheme was confirmed through the results of simulations conducted to compare it with conventional methods.
P.r.v. Piber - One of the best experts on this subject based on the ideXlab platform.
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Filterbank design for oversampled subband adaptive Filtering structures
Electronics Letters, 2003Co-Authors: P.r.v. PiberAbstract:A simple design procedure for uniform DFT Filterbanks used in oversampled subband adaptive Filtering structures is presented. The analysis Prototype Filter is designed with extended bandwidth to obtain fast convergence. The synthesis Prototype Filter is then optimised to reduce the mean square error. The resulting improvements in the convergence performance are verified through computer simulations
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ISCAS (3) - Prototype Filter design for oversampled subband adaptive Filtering structures
ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349), 1999Co-Authors: M.r. Petraglia, P.r.v. PiberAbstract:In this paper, the design of Prototype Filters for uniform DFT Filter banks used in oversampled subband adaptive Filtering structures is investigated. Two optimization procedures (a linear and a nonlinear) are proposed for the search of the optimal coefficients of the analysis and synthesis Prototype Filters. The nonlinear method is based on the minimization of an estimate of the steady-state mean-square error, while the linear approach uses the results of a convergence analysis to design the analysis Prototype Filter and then finds the synthesis Prototype Filter by a LMS-type algorithm. Computer simulation results are presented to illustrate the improvements in the convergence characteristics of the oversampled subband structure obtained with the proposed Prototype design methods.
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Prototype Filter design for oversampled subband adaptive Filtering structures
1999 IEEE International Symposium on Circuits and Systems (ISCAS), 1999Co-Authors: P.r.v. PiberAbstract:In this paper, the design of Prototype Filters for uniform DFT Filter banks used in oversampled subband adaptive Filtering structures is investigated. Two optimization procedures (a linear and a nonlinear) are proposed for the search of the optimal coefficients of the analysis and synthesis Prototype Filters. The nonlinear method is based on the minimization of an estimate of the steady-state mean-square error, while the linear approach uses the results of a convergence analysis to design the analysis Prototype Filter and then finds the synthesis Prototype Filter by a LMS-type algorithm. Computer simulation results are presented to illustrate the improvements in the convergence characteristics of the oversampled subband structure obtained with the proposed Prototype design methods.
