• The Journal of Korean Physical Therapy
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• 제12권2호
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• pp.83-93
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• 2000

29 dementia patients over 60 years of no in the nursing home were assigned to execute rehabilitation program a month for 3 months. 1 evaluated MBI scores and MMSE scores and analyzed correlation between both scores. Analyses of results were as follows : 1. In the experimental group with rehabilitation program. ADL and cognitive function were improved significantly(p<0.05). 2. In the control group with no rehabilitation program. ADL was decreased significantly(p<0.05), cognition was not changed (pgt;0.05). 3. There were significant rises in MBI scores and MMSE scores in the experimental group(p<0.05). 4. There was a significant fall in MBI scores in the control group(p<0.05). a no change in MMSE scores in the control group(p>0.05). 5. There was strong correlation between ADL and cognition in the experimental group and the control group. 6. Inverse correlation revealed between the experimental group and the control group in ADL. 7. Inverse correlation revealed between the experimental group and the control group in cognition.

• 한국통신학회논문지
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• 제39A권6호
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• pp.333-342
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• 2014

본 논문은 OFDM 블록에 파일럿 심볼들이 빗 형태의 패턴에 따라 배치된 경우, 가상 부반송파를 가지는 OFDM 시스템의 channel frequency response (CFR)를 추정하는 여러 방식들을 서로 비교한다. 채널 임펄스 응답을 먼저 예측하는 것이 목적인 minimum mean square error (MMSE) 기반의 채널추정 방식과 누설현상의 억제가 목적인 MMSE 기반의 채널추정 방식이 지금까지 비교되지 않았기 때문에, 본 논문에서는 후자 방식과 전자 방식의 mean square error (MSE) 값들의 차이가 양수가 됨을 유도함으로써 전자 방식의 우수성을 논리적으로 증명한다. 아울러 본 논문에서는 파일럿 수의 변화가 MMSE 기반 채널추정 방식과 least-square (LS) 기반 채널 추정 방식의 성능에 미치는 영향을 조사한다. 컴퓨터 시뮬레이션을 통해 채널추정 방식들의 성능을 정량적으로 확인한다.

• 재활간호학회지
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• 제9권1호
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• pp.15-24
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• 2006

Purpose: This study was to explore the cognitive function of Korean-Chinese stroke patient in China. Method: The study sample was 100 who were possible to communicate and agreed. The data were collected from one Brain's hospital at Yanji in China and by trained nurse from December 12, 2005 to April 28, 2006. The measurement tools were Digit span, Trail making, and MMSE-K. The data were analysed by SPSS Win 11.5 using frequency, t-test, ANOVA, and Pearson's correlation coefficients. Results: The mean score of DSF was 5.07, 3.42 of DSB, 161.37 of TMA, 229.28 of TMB, 22.64 of MMSE-K. There was a significant difference in DSF (F=6.35, p=.001), DSB (F=6.10, p=.001), TMA (F=3.53, p=.018), TMB (F=3.26, p=.025), MMSE-K score (F=12.97, p=.000) according to age, and DSF (F=6.67, p=.000), DSB (F=6.01, p=.000), TMA (F=5.82, p=.001), TMB (F=6.23, p=.001), and MMSE-K score (F=13.02, p=.000) according to educational level, and DSF (F=5.35, p=.006), DSB (F=3.16, p=.047), TMA (F=3.30, p=.041), TMB (F=3.42, p=.037), and MMSE-K score (F=4.95, p=.009) according to duration of disease, and DSB (F=3.54, p=.018), and MMSE-K (F=6.05, p=.001) according to frequencies of hospitalization. There was high correlation between DSF and DSB (r=.581, p=.000), TMA and TMB (r=.936, p=.000), MMSE-K and DSF (r=.579, p=.000), MMSE-K and DSB (r=.591, p=.000), DSF and TMA (r=.727, p=.000), and DSF and TMB (r=.721, p=.000). Conclusion: The cognitive evaluation score of Korean-Chinese stroke patients in China was in normal limit. The age, educational level, duration of disease and income were significant demographic characteristic affecting cognitive function. Further study need to compare the cognitive function of Korean-Chinese stoke patients in China and stoke patients in Korea.

• PNF and Movement
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• 제10권3호
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• pp.45-52
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• 2012

Purpose : This study examines the relationship between the Mini Mental State Examination-Korean Version(MMSE-K) and the Neuro-behavioral Cognitive Status Examination(NCSE) in Stroke Patients. Methods : We studied sixteen people with stroke(7 males, 9 females) who were admitted to occupational therapy a participants were tested with the MMSE-K, the NCSE. Results : Correlation between the NCSE and the MMSE-K was significant in p<.05, p<.01. The result was orientation r=.652, memory r=.514, attention r=.417, calculation r=.839, comprehension r=.676, repetition r=.960, naming r=.683, construction r=.961, judgement r=.616. Conclusion : The MMSE-K and the NCSE are valid and useful measurement tools evaluating cognitive function of persons with stroke in Korea.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2004년도 추계학술발표대회논문집 제23권 2호
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• pp.39-42
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• 2004

본 논문에서는, 잡음음성에 강인한 음성인식을 위한 특징추출 방법을 제시한다. 제시한 방법은 2 단계 잡음제거 과정으로 구성되어 있다. 첫번째 단계는 MMSE-STSA 음성개선기법을 통해 잡음음성신호를 개선시키는 과정이고, 두 번째 단계는, MMSE-STSA 의 개선된 음성에 후처리 가중필터뱅크분석을 통해 잔여잡음의 영향을 감소시키는 과정이다. 제안한 방법의 성능평가를 위해, AURORA2의 잡음음성 DB 중 테스트 집합 A 에 대해 인식실험을 수행하고, 결과를 기존 방법들과 비교, 검토한다.

• Journal of information and communication convergence engineering
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• 제5권4호
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• pp.328-332
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• 2007

The structure of MMSE receiver frontended by CMA array working in CDMA forward link is proposed. By using the despreaded pilot signal of forward link as a reference signal, CMA array can capture multi-path signals securely even in severely faded mobile channel. The remaining MAl (Multiple Access Interference) is cancelled by the cascaded MMSE receiver. Through computer simulation, it is proved that the proposed system shows much better BER performance than any other systems. As a mobile based spatio-temporal receiver, the proposed system also reduces implemental cost and complexity by adopting the simplest algorithm for its spatial and temporal domain processing.

• Journal of information and communication convergence engineering
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• 제5권4호
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• pp.333-338
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• 2007

In this paper we propose a new structure of the long code MMSE receiver with pilot channel, which maintians excellent symbol detection capability even in the presence of Rayleigh fading. We explain analytically how the stability of the receiver weight vector, which is critical to the system performance, can be achieved by compensating the error signal as well as received signal vector distorted by fading channel. Computer simulation shows while maintaining better performance than the conventional matched filter receiver, the proposed long code MMSE receiver can extend its period up to $16{\times}T_b$ in a fading environment.

• ETRI Journal
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• 제38권3호
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• pp.510-517
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• 2016

Recent developments in the field of separation of mixed signals into music/voice components have attracted the attention of many researchers. Recently, iterative kernel back-fitting, also known as kernel additive modeling, was proposed to achieve good results for music/voice separation. To obtain minimum mean square error (MMSE) estimates of short-time Fourier transforms of sources, generalized spatial Wiener filtering (GW) is typically used. In this paper, we propose an advanced music/voice separation method that utilizes a generalized weighted ${\beta}$-order MMSE estimation (WbE) based on iterative kernel back-fitting (KBF). In the proposed method, WbE is used for the step of mixed music signal separation, while KBF permits kernel spectrogram model fitting at each iteration. Experimental results show that the proposed method achieves better separation performance than GW and existing Bayesian estimators.

• International Journal of Contents
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• 제15권4호
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• pp.27-35
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• 2019

In this paper, we propose an advanced Minimum Mean Square Error (MMSE) channel estimation method for IEEE 802.11p/Wireless Access in Vehicular Environments (WAVE) systems. To improve the performance of MMSE method, we apply the Weighted Sum using Update Matrix (WSUM) scheme to the step of calculating the instantaneously estimated channel and then, a time domain selectively averaging method is applied after the WSUM scheme. Based on that, the accuracy of instantaneously estimated channel increases and then, the accuracy of auto covariance matrix also increases. Consequently, we can achieve the performance gain over the conventional MMSE method. Through simulations based on the IEEE 802.11p standard, it is confirmed that the proposed scheme can outperform the existing channel estimation schemes.

• 한국통신학회논문지
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• 제27권8A호
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• pp.753-762
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• 2002

Blind equalization of transmission channel is important in communication areas and signal processing applications because it does not need training sequences, nor dose it require a priori channel information. In this paper, an adaptive blind MMSE channel equalization technique based on second-order statistics in investigated. We present an adaptive blind MMSE channel equalization using multichannel linear prediction error method for estimating cross-correlation vector. They can be implemented as RLS or LMS algorithms to recursively update the cross-correlation vector. Once cross-correlation vector is available, it can be used for MMSE channel equalization. Unlike many known subspace methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch. Performance of our algorithms and comparisons with existing algorithms are shown for real measured digital microwave channel.