• 제목/요약/키워드: Spectral weighted

검색결과 98건 처리시간 0.024초

Graph spectral 기법을 이용한 N:M 대응 폴리곤쌍 탐색 (Identification of N:M corresponding polygon pairs using a graph spectral method)

  • 허용;유기윤
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2010년 춘계학술발표회 논문집
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    • pp.11-13
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    • 2010
  • Combined with the indeterminate boundaries of spatial objects, n:m correspondences makes an object-based matching be a complex problem. In this study, we model the boundary of a polygon object with fuzzy model and describe their overlapping relations as a weighted bipartite graph. Then corresponding pairs including 1:0, 1:1, 1:n and n:m relations are identified using a spectral singular value decomposition.

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Harmonics-based Spectral Subtraction and Feature Vector Normalization for Robust Speech Recognition

  • Beh, Joung-Hoon;Lee, Heung-Kyu;Kwon, Oh-Il;Ko, Han-Seok
    • 음성과학
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    • 제11권1호
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    • pp.7-20
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    • 2004
  • In this paper, we propose a two-step noise compensation algorithm in feature extraction for achieving robust speech recognition. The proposed method frees us from requiring a priori information on noisy environments and is simple to implement. First, in frequency domain, the Harmonics-based Spectral Subtraction (HSS) is applied so that it reduces the additive background noise and makes the shape of harmonics in speech spectrum more pronounced. We then apply a judiciously weighted variance Feature Vector Normalization (FVN) to compensate for both the channel distortion and additive noise. The weighted variance FVN compensates for the variance mismatch in both the speech and the non-speech regions respectively. Representative performance evaluation using Aurora 2 database shows that the proposed method yields 27.18% relative improvement in accuracy under a multi-noise training task and 57.94% relative improvement under a clean training task.

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적응 웨이블릿 패킷 기반 스펙트럼 차감법을 이용한 음성신호 개선에 관한 연구 (A study on Speech Enhancement Using Adaptive Wavelet Packet Based Spectral Subtraction)

  • 김진호;박정재;장성욱;권영헌;양성일
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2004년도 추계학술발표대회논문집 제23권 2호
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    • pp.43-46
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    • 2004
  • 본 논문에서는 최근에 제안된 음성신호 개선을 위한 적응 웨이블릿 패킷 기반의 스펙트럼 차감법을 이용하여 다양한 측면에서의 성능평가 결과를 제시한다. 사용된 음성신호 개선 방식은 적응 웨이블릿 패킷의 불균등 주파수 해상도와 높은 에너지 집중도로 인해 발생하는 극대, 극소값의 영향을 피하기 위해 기하평균을 이용하는 스펙트럼 추정법을 사용하였다. 다양한 측면의 성능평가를 위해 주관적 평가 척도인 MOS 와 높은 상관도를 갖는 것으로 알려진 log likelihood ratio, log area ratio, segmental SNR, weighted spectral slope 등을 평가 척도로 사용하였다. Fourier 기저를 사용한 방식과의 비교에서 적응 웨이블릿 패킷 방식은 SegSNR 과 음성의 명료도를 비교적 잘 반영하는 weighted spectral slope 측면에서 우수한 성능을 보였다.

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ON WEIGHTED WEYL SPECTRUM, II

  • Arora Subhash Chander;Dharmarha Preeti
    • 대한수학회보
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    • 제43권4호
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    • pp.715-722
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    • 2006
  • In this paper, we show that if T is a hyponormal operator on a non-separable Hilbert space H, then $Re\;{\omega}^0_{\alpha}(T)\;{\subset}\;{\omega}^0_{\alpha}(Re\;T)$, where ${\omega}^0_{\alpha}(T)$ is the weighted Weyl spectrum of weight a with ${\alpha}\;with\;{\aleph}_0{\leq}{\alpha}{\leq}h:=dim\;H$. We also give some conditions under which the product of two ${\alpha}-Weyl$ operators is ${\alpha}-Weyl$ and its converse implication holds, too. Finally, we show that the weighted Weyl spectrum of a hyponormal operator satisfies the spectral mapping theorem for analytic functions under certain conditions.

고해상도 DOA 시스템을 위한 새로운 방법 제안 (A new mthod for high resolution DOA systems)

  • 고학임;문대철
    • 한국통신학회논문지
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    • 제21권2호
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    • pp.340-346
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    • 1996
  • In this paper, we propose a ne weighted backward covariance matrix method to enhance the resolution for direction-of-arrival(DOA) estimation. The proposed method (MEVM:modified eigenvector method) is an enhanced covariance matrix method which is an extended form of the conventional covariance matrix. We analyze the effect of using the weighted forward-baskward covariance matrix on the performance of the eigenvector method(EVM). By comparing the perturbation angle of the noise-subspace, we show that the spectral estimate obtained using the proposed method is less distorted than the spectral estimate obtained using the conventional EVM. The simulation results show that the new method is more accurate and has better resolution than the conventional EVM under the same noise conditions.

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G.729.1 코더에서 프레임 간의 상호상관 관계를 이용한 개선된 스펙트럼 포락 코딩 방법 (Enhanced Spectral Envelope Coding Scheme Using Inter-frame Correlation for G.729.1)

  • 조근석;성종모;한민수;김영일;정상배
    • 말소리와 음성과학
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    • 제1권4호
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    • pp.97-103
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    • 2009
  • This paper describes a new algorithm for encoding spectral envelope in the time domain alias cancellation (TDAC) part of G.729.1. The spectral envelope and modified discrete cosine transform (MDCT) coefficients of the weighted code-excited linear predictive (CELP) coding error in lower-band and the higher-band input signal are encoded in the TDAC part. In order to reduce allocation bits for spectral envelope coding, a new algorithm using sub-band correlation between adjacent frames is proposed. In addition, to improve the quality of decoded signals, two bit allocation strategies using reduced bits from the proposed algorithm are proposed. The performance of the proposed algorithm is evaluated in terms of objective quality and bit reduction rates. Experimental results show that the proposed algorithm increases the quality of sounds significantly.

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Mitigation Techniques of Channel Collisions in the TTFR-Based Asynchronous Spectral Phase-Encoded Optical CDMA System

  • Miyazawa, Takaya;Sasase, Iwao
    • Journal of Communications and Networks
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    • 제11권1호
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    • pp.1-10
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    • 2009
  • In this paper, we propose a chip-level detection and a spectral-slice scheme for the tunable-transmitter/fixed-receiver (TTFR)-based asynchronous spectral phase-encoded optical codedivision multiple-access (CDMA) system combined with timeencoding. The chip-level detection can enhance the tolerance of multiple access interference (MAI) because the channel collision does not occur as long as there is at least one weighted position without MAI. Moreover, the spectral-slice scheme can reduce the interference probability because the MAI with the different frequency has no adverse effects on the channel collision rate. As a result, these techniques mitigate channel collisions. We analyze the channel collision rate theoretically, and show that the proposed system can achieve a lower channel collision rate in comparison to both conventional systems with and without the time-encoding method.

An Adaptive Weighted Regression and Guided Filter Hybrid Method for Hyperspectral Pansharpening

  • Dong, Wenqian;Xiao, Song
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.327-346
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    • 2019
  • The goal of hyperspectral pansharpening is to combine a hyperspectral image (HSI) with a panchromatic image (PANI) derived from the same scene to obtain a single fused image. In this paper, a new hyperspectral pansharpening approach using adaptive weighted regression and guided filter is proposed. First, the intensity information (INT) of the HSI is obtained by the adaptive weighted regression algorithm. Especially, the optimization formula is solved to obtain the closed solution to reduce the calculation amount. Then, the proposed method proposes a new way to obtain the sufficient spatial information from the PANI and INT by guided filtering. Finally, the fused HSI is obtained by adding the extracted spatial information to the interpolated HSI. Experimental results demonstrate that the proposed approach achieves better property in preserving the spectral information as well as enhancing the spatial detail compared with other excellent approaches in visual interpretation and objective fusion metrics.

음성 인식을 위한 최적 가중 켑스트랄 거리 측정 방법 (Optimally Weighted Cepstral Distance Measure for Speech Recognition)

  • 김원구
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 제11회 음성통신 및 신호처리 워크샵 논문집 (SCAS 11권 1호)
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    • pp.133-137
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    • 1994
  • In this paper, a method for designing an optimal weight function for the weighted cepstral distance measure is proposed. A conventional weight function or cepstral lifter is obtained eperimentally depending on the spectral components to be emphasized. The proposed method minimizes the error between word reference patterns and the traning data. To compare the proposed optimal weight function with conventional function, speech recognition systems based on Dpynamic Time Warping and Hidden Markov Models were constructed to conduct speaker independent isolated word necogination eperiment. Results show that the proposed method gives better performance than conventional weight functions.

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STEPANOV-LIKE PSEUDO ALMOST AUTOMORPHIC SOLUTIONS OF CLASS r IN 𝛼-NORM UNDER THE LIGHT OF MEASURE THEORY

  • DJENDODE MBAINADJI;ISSA ZABSONRE
    • Journal of Applied and Pure Mathematics
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    • 제5권3_4호
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    • pp.129-164
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    • 2023
  • The aim of this work is to present some interesting results on weighted ergodic functions and prove the existence and uniqueness of Stepanov-like pseudo almost automorphic solutions using the spectral decomposition of the phase space developed by Adimy and co-authors. We also give the next challenge of this work.