• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.36-39
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• 2004

Electrical impedance tomography (EIT) has been suffered from the severe ill-posedness which is caused by the inherent low sensitivity of boundary measurements to any changes of internal resistivity values. So, small noise occur unexpected reconstruction image. Generally in EIT system, if measured voltage includes noise, we can't find object location and resistivity values. In this paper, we propose digital filter for measured voltage in EIT. Newton-Raphson is the most..popular algorithm in EIT, but noise cause to blur image. We use Fourier transform (FT) in order to minimize the noise and design the filter. After filtering, result of reconstruction image is improved better than before filtering.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3745-3761
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• 2020

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.

• 한국통신학회논문지
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• 제25권1B호
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• pp.89-98
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• 2000

본 논문에서는 적응필터를 기반으로 한 웨이브릿 변환 및 서브밴드 필터뱅크를 사용한 능동잡음제거의 모델을 제안한다. 분해 필터뱅크는 입력 및 오차신호를 저주파 및 고주파영역의 QMF 필터뱅크로 분해하며, 각 필터뱅크 에는 dyadic tree 구조를 갖는 웨이브릿 필터를 사용한다. 분해된 입력 및 오차신호는 filtered-X LMS 알고리듬를 사용하여 각 서브밴드의 적응 필터계수를 새롭게 갱신시킨다. 합성 필터뱅크는 그리고 각 서브밴드의 적응필터 출력신호를 합성한 후 완전복원이 되는 광대역의 출력신호를 만든다. 분해 및 합성 필터뱅크는 완전복원을 위하여 공액직교필터를 사용한다. 또한 오차경로의 전달특성을 온라인 추정하기 위한 지연 LMS 알고리듬 모델은 이득과 시간지연인자만을 사용한다. 따라서 제안한 적응 능동잡음제거 모델은 웨이브릿 서브밴드 필터뱅크를 사용하여 계산량과 수렴속도에 유리한 시스템이 되도록 제시한다.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.171-182
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• 2015

The general wavelet transform has profitable property in non-stationary signal analysis specially. The tunable Q-factor wavelet transform is a fully-discrete wavelet transform for which the Q-factor Q and the asymptotic redundancy r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to match the oscillatory behavior of the signal of interest, so as to enhance the sparsity of a sparse signal representation. The TQWT is well suited to fast algorithms for sparsity-based inverse problems because it is a Parseval frame, easily invertible, and can be efficiently implemented. The transform is based on a real valued scaling factor and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. The transform is parameterized by its Q-factor and its over-sampling rate, with modest over-sampling rates being sufficient for the analysis/synthesis functions to be well localized. This paper describes filter design of 2D discrete-time wavelet transform for which the Q-factor is easily specified. With the advantage of this transform, perfect reconstruction filter design and implementation for performance improvement are focused in this paper. Hence, the 2D transform can be tuned according to the oscillatory behavior of the image signal to which it is applied. Therefore, application for performance improvement in multimedia communication field was evaluated.

• 대한의용생체공학회:의공학회지
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• 제22권4호
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• pp.311-319
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• 2001

Statistical reconstruction methods in the context of a Bayesian framework have played an important role in emission tomography since they allow to incorporate a priori information into the reconstruction algorithm. Given the ill-posed nature of tomographic inversion and the poor quality of projection data, the Bayesian approach uses regularizers to stabilize solutions by incorporating suitable prior models. In this work we show that, while the quantitative performance of the standard filtered backprojection (FBP) algorithm is not as good as that of Bayesian methods, the application of spline-regularized smoothing to the sinogram space can make the FBP algorithm improve its performance by inheriting the advantages of using the spline priors in Bayesian methods. We first show how to implement the spline-regularized smoothing filter by deriving mathematical relationship between the regularization and the lowpass filtering. We then compare quantitative performance of our new FBP algorithms using the quantitation of bias/variance and the total squared error (TSE) measured over noise trials. Our numerical results show that the second-order spline filter applied to FBP yields the best results in terms of TSE among the three different spline orders considered in our experiments.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.413-418
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• 2003

In this paper, a new multirate optimal finite impulse response (FIR) filter is proposed for the signal reconstruction in the nosy filter bank systems. The multirate optimal FIR filter replaces the conventional synthesis filters and the Kalman synthesis filter. First, the generic linear model is derived from the multirate state space model for an autoregressive (AR)input signal. Second, the multirate optimal FIR filter is derived from the multirate generic linear model using the minimum variance criterion. This paper also provides numerical examples and results. The simulation results illustrate that the performance is improved compared with conventional synthesis filters and the proposed filter has advantages over the Kalman synthesis filter.

• 대한전자공학회논문지
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• 제16권6호
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• pp.16-21
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• 1979

단순역투사에 의하여 얻어진 선명치 않은 영상에서 단층영상을 재구성할 수 있는 이차원 필터들을 주파수영역에서 고찰하고 이의 성능을 비교하였다 이 필터 함수들은 단층영상시스템의 전달함수로부터 구하였으며 그 모양은 ramp 함수에 window 함수를 곱한 형태로 되어 있다. 이 window 함수는 영상 재구성에서의 불필요한 잡음화상을 줄이는 역할을 하는 것이 모의영상 데이터를 이용한 computer simulation에서 밝혀졌다. 또한 simulation의 결과로 이차원 영상 재구성 방법이 일차원 convolution mehod에 의한 영상 재구성에 비해서 화질은 나쁘지만 계산시간은 십배 이상 단축됨을 발견하였다. 이차원 영상 재구성에서는 window 함수가 변함에 따라 재구성된 영상의 화질도 달라진다. 즉 영상의 해상도를 높일 수록 잡음이 많이 섞인 화상을 얻게 되는 것을 재구성한 영상들을 통하여 고찰하였다.

• 한국인터넷방송통신학회논문지
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• 제13권1호
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• pp.49-54
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• 2013

WPM(Wavelet Packet Modulation)은 고속 전송에 적합한 다중 반송파 전송방식으로 여러 필터의 조합으로 유연한 시스템을 구현할 수 있는 장점이 있다. WPM과 같은 다중 반송파 시스템에서 높은 PAPR(Peak to Average Power Ratio)은 가장 큰 문제점중 하나이다. 본 논문에서는 WPM 시스템의 필터 계수를 조정 하는 방법으로 최소 PAPR을 갖는 WPM 시스템을 제안한다. 우선 PR(Perfect Reconstruction)을 만족하는 필터 계수의 방정식을 구하여 그 방정식을 이용하여 PAPR이 가장 낮게 나올 수 있는 필터계수를 선택한다. 이 필터 계수를 이용하여 최소 PAPR을 갖는 WPM 시스템을 구현하고 모의실험을 통하여 성능 비교를 하였다.

• ETRI Journal
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• 제32권5호
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• pp.801-809
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• 2010

This paper presents a statistical model-based noise suppression approach for voice recognition in a car environment. In order to alleviate the spectral whitening and signal distortion problem in the traditional decision-directed Wiener filter, we combine a decision-directed method with an original spectrum reconstruction method and develop a new two-stage noise reduction filter estimation scheme. When a tradeoff between the performance and computational efficiency under resource-constrained automotive devices is considered, ETSI standard advance distributed speech recognition font-end (ETSI-AFE) can be an effective solution, and ETSI-AFE is also based on the decision-directed Wiener filter. Thus, a series of voice recognition and computational complexity tests are conducted by comparing the proposed approach with ETSI-AFE. The experimental results show that the proposed approach is superior to the conventional method in terms of speech recognition accuracy, while the computational cost and frame latency are significantly reduced.

• 전기학회논문지
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• 제60권4호
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• pp.871-876
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• 2011

In this paper, a voltage-controlled frequency tunable current-mode integrator and a 3rd-order current-mode Chebyshev filter in 1.8V-$0.18{\mu}m$ CMOS is realized for software radio applications in system-on-chips. This filter is used for reconstruction purposes between a current-steering DAC and a current-mode mixer. Power consumption of the designed filter can be reduced by using a current-mode small size integrator. And also, cutoff frequency of this filter is variable between 1.2MHz and 10.1MHz, the power consumption is 2.85mW. And the voltage bias compensated circuit is used to control the voltage variation.in the designed filter.