Direct Synthesis Approach for Designing High Selectivity Microstrip Distributed Bandpass Filters Combined with Deep Learning

2020 ◽  
pp. 153499
Author(s):  
Xinyue Dai ◽  
Qian Yang ◽  
Hao Du ◽  
Jianxing Li ◽  
Cheng Guo ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Selectivity ◽  
Direct Synthesis ◽  
Bandpass Filters ◽  
Synthesis Approach

scholarly journals Advanced Direct Synthesis Approach for High Selectivity In-Line Topology Filters Comprising $N$ - 1 Adjacent Frequency-Variant Couplings

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 41659-41668 ◽  
Author(s):  
Yuxing He ◽  
Giuseppe Macchiarella ◽  
Zhewang Ma ◽  
Liguo Sun ◽  
Nobuyuki Yoshikawa
Keyword(s):  
High Selectivity ◽  
Direct Synthesis ◽  
Synthesis Approach

Polynuclear Heterometallic Complexes from Metal Powders: The “Direct Synthesis” Approach

2014 ◽  
Vol 2014 (27) ◽  
pp. 4496-4517 ◽  
Author(s):  
Dmytro S. Nesterov ◽  
Oksana V. Nesterova ◽  
Vladimir N. Kokozay ◽  
Armando J. L. Pombeiro
Keyword(s):  
Direct Synthesis ◽  
Heterometallic Complexes ◽  
Metal Powders ◽  
Synthesis Approach

scholarly journals High Selectivity Dual-Band Bandpass Filter with Tunable Lower Passband

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Wei-Qiang Pan ◽  
Xiao-Lan Zhao ◽  
Yao Zhang ◽  
Jin-Xu Xu
Keyword(s):  
High Selectivity ◽  
Bandpass Filter ◽  
Bandpass Filters ◽  
Dual Band ◽  
Transmission Zeros ◽  
Resonant Modes ◽  
Novel Method ◽  
Good Agreement ◽  
Tunable Bandpass Filter

This paper presents a novel method to design dual-band bandpass filters with tunable lower passband and fixed upper passband. It utilizes a trimode resonator with three controllable resonant modes. Discriminating coupling is used to suppress the unwanted mode to avoid the interference. Varactors are utilized to realize tunable responses. The bandwidth of the two bands can be controlled individually. Transmission zeros are generated near the passband edges, resulting in high selectivity. For demonstration, a tunable bandpass filter is implemented. Good agreement between the prediction and measurement validates the proposed method.

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