The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Untuk mengoptimumkan prestasi penapis FIR yang mempunyai kerumitan pengiraan yang rendah, kertas kerja ini mencadangkan reka bentuk hibrid yang terdiri daripada dua tahap pengoptimuman. Tahap pengoptimuman pertama adalah berdasarkan sintesis anjakan kitaran, di mana semua penapis kecil yang mungkin (atau sub penapis bertingkap) dengan anjakan kitaran yang berbeza dipuratakan untuk menjana penapis tersintesis. Disebabkan oleh fakta bahawa riak lengkung pemindahan sub-penapis ini boleh diberi pampasan secara individu, penapis tersintesis ini mencapai prestasi yang lebih baik (selain daripada dua lonjakan berlaku pada tepi jalur peralihan) dan oleh itu sintesis ini sebenarnya memainkan peranan 'pengoptimuman semula jadi'. Tambahan pula, proses sintesis ini boleh diringkaskan secara bersamaan ke dalam prosedur bentuk tertutup 3 langkah, yang menukarkan pengoptimuman berbilang pembolehubah kepada pengoptimuman pembolehubah tunggal. Oleh itu, untuk menyekat peningkatan, perkara yang perlu dilakukan oleh tahap pengoptimuman kedua (oleh algoritma Evolusi Berbeza (DE)) adalah tidak lebih daripada mencari titik peralihan optimum yang hanya memerlukan kerumitan minimum. Memiliki gabungan antara sintesis anjakan kitaran dan algoritma DE, tidak seperti skim pengkomputeran evolusi biasa, reka bentuk hibrid kami lebih menarik kerana ruang cariannya yang sempit dan kelajuan penumpuan yang lebih tinggi . Keputusan berangka juga menunjukkan bahawa reka bentuk yang dicadangkan adalah lebih baik daripada reka bentuk DE konvensional dalam kedua-dua prestasi penapis dan kecekapan reka bentuk, dan ia adalah setanding dengan reka bentuk Remez.
Xiangdong HUANG
Tianjin University
Jingwen XU
Tianjin University
Jiexiao YU
Tianjin University
Yu LIU
Tianjin University
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Salinan
Xiangdong HUANG, Jingwen XU, Jiexiao YU, Yu LIU, "A High-Efficiency FIR Filter Design Combining Cyclic-Shift Synthesis with Evolutionary Optimization" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 2, pp. 266-276, February 2019, doi: 10.1587/transcom.2018EBP3063.
Abstract: To optimize the performance of FIR filters that have low computation complexity, this paper proposes a hybrid design consisting of two optimization levels. The first optimization level is based on cyclic-shift synthesis, in which all possible sub filters (or windowed sub filters) with distinct cycle shifts are averaged to generate a synthesized filter. Due to the fact that the ripples of these sub filters' transfer curves can be individually compensated, this synthesized filter attains improved performance (besides two uprushes occur on the edges of a transition band) and thus this synthesis actually plays the role of ‘natural optimization’. Furthermore, this synthesis process can be equivalently summarized into a 3-step closed-form procedure, which converts the multi-variable optimization into a single-variable optimization. Hence, to suppress the uprushes, what the second optimization level (by Differential Evolution (DE) algorithm) needs to do is no more than searching for the optimum transition point which incurs only minimal complexity . Owning to the combination between the cyclic-shift synthesis and DE algorithm, unlike the regular evolutionary computing schemes, our hybrid design is more attractive due to its narrowed search space and higher convergence speed . Numerical results also show that the proposed design is superior to the conventional DE design in both filter performance and design efficiency, and it is comparable to the Remez design.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3063/_p
Salinan
@ARTICLE{e102-b_2_266,
author={Xiangdong HUANG, Jingwen XU, Jiexiao YU, Yu LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={A High-Efficiency FIR Filter Design Combining Cyclic-Shift Synthesis with Evolutionary Optimization},
year={2019},
volume={E102-B},
number={2},
pages={266-276},
abstract={To optimize the performance of FIR filters that have low computation complexity, this paper proposes a hybrid design consisting of two optimization levels. The first optimization level is based on cyclic-shift synthesis, in which all possible sub filters (or windowed sub filters) with distinct cycle shifts are averaged to generate a synthesized filter. Due to the fact that the ripples of these sub filters' transfer curves can be individually compensated, this synthesized filter attains improved performance (besides two uprushes occur on the edges of a transition band) and thus this synthesis actually plays the role of ‘natural optimization’. Furthermore, this synthesis process can be equivalently summarized into a 3-step closed-form procedure, which converts the multi-variable optimization into a single-variable optimization. Hence, to suppress the uprushes, what the second optimization level (by Differential Evolution (DE) algorithm) needs to do is no more than searching for the optimum transition point which incurs only minimal complexity . Owning to the combination between the cyclic-shift synthesis and DE algorithm, unlike the regular evolutionary computing schemes, our hybrid design is more attractive due to its narrowed search space and higher convergence speed . Numerical results also show that the proposed design is superior to the conventional DE design in both filter performance and design efficiency, and it is comparable to the Remez design.},
keywords={},
doi={10.1587/transcom.2018EBP3063},
ISSN={1745-1345},
month={February},}
Salinan
TY - JOUR
TI - A High-Efficiency FIR Filter Design Combining Cyclic-Shift Synthesis with Evolutionary Optimization
T2 - IEICE TRANSACTIONS on Communications
SP - 266
EP - 276
AU - Xiangdong HUANG
AU - Jingwen XU
AU - Jiexiao YU
AU - Yu LIU
PY - 2019
DO - 10.1587/transcom.2018EBP3063
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2019
AB - To optimize the performance of FIR filters that have low computation complexity, this paper proposes a hybrid design consisting of two optimization levels. The first optimization level is based on cyclic-shift synthesis, in which all possible sub filters (or windowed sub filters) with distinct cycle shifts are averaged to generate a synthesized filter. Due to the fact that the ripples of these sub filters' transfer curves can be individually compensated, this synthesized filter attains improved performance (besides two uprushes occur on the edges of a transition band) and thus this synthesis actually plays the role of ‘natural optimization’. Furthermore, this synthesis process can be equivalently summarized into a 3-step closed-form procedure, which converts the multi-variable optimization into a single-variable optimization. Hence, to suppress the uprushes, what the second optimization level (by Differential Evolution (DE) algorithm) needs to do is no more than searching for the optimum transition point which incurs only minimal complexity . Owning to the combination between the cyclic-shift synthesis and DE algorithm, unlike the regular evolutionary computing schemes, our hybrid design is more attractive due to its narrowed search space and higher convergence speed . Numerical results also show that the proposed design is superior to the conventional DE design in both filter performance and design efficiency, and it is comparable to the Remez design.
ER -