• 제목/요약/키워드: filter layer

검색결과 502건 처리시간 0.032초

이종적층 LTCC 기술을 이용한 WLAN용 대역통과 필터 설계 (Design of BPF for WLAN with Heterogeneous LTCC Materials)

  • 고정호;육종관;박한규;김준철;이영신
    • 한국전자파학회:학술대회논문집
    • /
    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
    • /
    • pp.188-192
    • /
    • 2003
  • A multilayer two-stage LC bandpass filter using low-temperature cofired-ceramic (LTCC) is proposed in this paper. The proposed bandpass filter is composed of two ceramic substrates with different dielectric constant instead of single ceramic material from top to bottom layer. The bandpass filter size is $2.0 mm{\times}1.2 mm{\times}0.8 mm$. Positioning of attenuation polefrequency, importance parameter for a performance of filter, is discussed using even-odd mode analysis by tuned capacitance of coupling capacitor and those results is implemented to LTCC filter circuit. Measured filter performances show that the insertion losses are -4.5dB, -4.1dB at 2.45GHz, 2.75GHz and the return losses are -8.5dB, 8.7dB.

  • PDF

Design and fabrication of a novel multilayer bandpass filter with high-order harmonics suppression using parallel coupled microstrip filter

  • Fathi, Esmaeil;Setoudeh, Farbod;Tavakoli, Mohammad Bagher
    • ETRI Journal
    • /
    • 제44권2호
    • /
    • pp.260-273
    • /
    • 2022
  • This study presents a novel multilayer structure of parallel coupled-line bandpass filtercentered at 2.42 GHz with a fractional bandwidth value of approximately 19.4%. The designed filter can suppress harmonics with an appropriate frequency response by incorporating different techniques based on the multilayer technique. A combination of different techniques such as radial microstrip stubs and defected ground structure (DGS) and defected microstrip structure techniques are employed to suppress harmonics up to 5f0. These techniques are used in two layers to suppress up to 5f0. In addition, in this study, the effects of different parameters, such as the width of slot-line DGS, the angle of diagonal line slots in the upper layer, and the air gap between the two layers on the filter performance, are investigated. To verify the correct circuit operation, the designed filter is implemented and tested. The measurement results of the proposed filter are compared with the simulation results.

1${\sim}$3 GHz 대역의 GMS Type Switch Module 특성에 관한 연구 (A study on the Characteristics of RF switch module on 1${\sim}$3 GHz Band)

  • 김인성;송재성;서영석
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2004년도 하계학술대회 논문집 C
    • /
    • pp.1673-1675
    • /
    • 2004
  • The design, modeling and measurement of RF switch module for GSM applications is presented in this paper. RF switch module is constructed using a LTCC multi-layer switching circuit and integrated low pass filter. Insertion and return loss of the low pass filter were designed less than 0.3 dB and better than 12.7 dB at 900 MHz. The RF switch module contained 10 embedded passives and 3 surface mount components integrated on $4.6{\times}4.8{\times}1.2$ mm, 6-layer multi-layer integrated circuit. The insertion loss of switch module was measured at 900 MHz was 11 dB.

  • PDF

저주파 필터 특성을 갖는 다층 구조 신경망을 이용한 시계열 데이터 예측 (Time Series Prediction Using a Multi-layer Neural Network with Low Pass Filter Characteristics)

  • Min-Ho Lee
    • Journal of Advanced Marine Engineering and Technology
    • /
    • 제21권1호
    • /
    • pp.66-70
    • /
    • 1997
  • In this paper a new learning algorithm for curvature smoothing and improved generalization for multi-layer neural networks is proposed. To enhance the generalization ability a constraint term of hidden neuron activations is added to the conventional output error, which gives the curvature smoothing characteristics to multi-layer neural networks. When the total cost consisted of the output error and hidden error is minimized by gradient-descent methods, the additional descent term gives not only the Hebbian learning but also the synaptic weight decay. Therefore it incorporates error back-propagation, Hebbian, and weight decay, and additional computational requirements to the standard error back-propagation is negligible. From the computer simulation of the time series prediction with Santafe competition data it is shown that the proposed learning algorithm gives much better generalization performance.

  • PDF

Brownian Dynamics 를 이용한 입자 포집 과정 및 여과 성능 해석 (Analysis of Filtration Performance by Brownian Dynamics)

  • 방종근;윤웅섭
    • 대한기계학회논문집B
    • /
    • 제33권10호
    • /
    • pp.811-819
    • /
    • 2009
  • In the present study, deposition of discrete and small particles on a filter fiber was simulated by stochastic method. Trajectory of each particle was numerically solved by Langevin equation. And Lattice Boltzmann method (LBM) was used to solve flow field around the filter collector for considering complex shape of deposit layer. Interaction between the flow field and the deposit layer was obtained from a converged solution from an inner-loop calculation. Simulation method is properly validated with filtration theory and collection efficiency due to different filtration parameters are examined and discussed. Morphology of deposit layer and its evolution was visualized in terms of the particle size. The particle loaded effect on collection efficiency was also discussed.

A New Hybrid Algorithm for Invariance and Improved Classification Performance in Image Recognition

  • Shi, Rui-Xia;Jeong, Dong-Gyu
    • International journal of advanced smart convergence
    • /
    • 제9권3호
    • /
    • pp.85-96
    • /
    • 2020
  • It is important to extract salient object image and to solve the invariance problem for image recognition. In this paper we propose a new hybrid algorithm for invariance and improved classification performance in image recognition, whose algorithm is combined by FT(Frequency-tuned Salient Region Detection) algorithm, Guided filter, Zernike moments, and a simple artificial neural network (Multi-layer Perceptron). The conventional FT algorithm is used to extract initial salient object image, the guided filtering to preserve edge details, Zernike moments to solve invariance problem, and a classification to recognize the extracted image. For guided filtering, guided filter is used, and Multi-layer Perceptron which is a simple artificial neural networks is introduced for classification. Experimental results show that this algorithm can achieve a superior performance in the process of extracting salient object image and invariant moment feature. And the results show that the algorithm can also classifies the extracted object image with improved recognition rate.

Brownian dynamics 를 이용한 입자 포집 모사 (Simulation of particle filtration by Brownian dynamics)

  • 방종근;윤웅섭
    • 대한기계학회:학술대회논문집
    • /
    • 대한기계학회 2008년도 추계학술대회A
    • /
    • pp.1922-1927
    • /
    • 2008
  • In the present study, deposition of discrete and small particles, which diameter is less than $1{\mu}m$, on a filter element was simulated by stochastic method. Trajectory of each particle was numerically solved by Langevin equation and Brownian random motion was treated by Brownian dynamics. Lattice Boltzmann method (LBM) was used to solve flow field around the filter collector and deposit layer. Interaction between flow field and deposit layer was obtained from a converged solution from an inner-loop calculation. Simulation method is properly validated and collection efficiency due to different filtration parameters are examined and discussed. Morphology of deposit layer and its evolution was visualized in terms of the particle size. The particle loaded effect on collection efficiency was also discussed.

  • PDF

Lowpass Filter Design For Eliminate The Harmonic Signals Using Photonic Bandgap Structure

  • Kim Jang Kwon;Kim Dong Sik;Kang Chang Soo
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
    • /
    • pp.19-22
    • /
    • 2004
  • The goal of this study is to realize the PBG lowpass filter using novel PBG structure modification both upper layer and ground layer. It has been designed three aperture slots of ground layer for PBG structure which the center slot shape of ground is two type, rectangular and dumbbell. This PBG LPF has the character of the broader stopband and smaller size than typical LPF. The measurement results have matched the simulated ones. It has the cutoff frequency of each 4.465GHz and 3.52GHz and at least -20dB of the signal suppression at the stopband

  • PDF

Characterization of depth filter media for gas turbine intake air cleaning

  • Park, Young Ok;Hasolli, Naim;Choi, Ho Kyung;Rhee, Young Woo
    • 한국입자에어로졸학회지
    • /
    • 제5권4호
    • /
    • pp.159-170
    • /
    • 2009
  • A depth filter medium was newly designed in order to achieve high collection of dust and low pressure drop in this work. Multilayer depth filter media consist of an upstream layer of highly porous structure which allows particles to pass through and to follow by one or more downstream layers to hold the particles inside the media. For each filter media, flat sheet and pleated module were made of newly developed depth filter media and filter media of commercial products. Commercial depth filter cartridge for gas turbine air intake cleaning were used as reference for filtration area and pleat geometry of pleated modules. This work attempts to evaluate and compare the newly developed depth filter medium and two commercial filter media in terms of filtration parameters such as air permeability, initial pressure drop, particle retention and pressure drop variation with dust loading. According to the close examination the newly developed depth filter showed better performance compared to the commercial depth filter media.

  • PDF