• 제목/요약/키워드: Bandwidth Estimation

검색결과 287건 처리시간 0.026초

On Practical Efficiency of Locally Parametric Nonparametric Density Estimation Based on Local Likelihood Function

  • Kang, Kee-Hoon;Han, Jung-Hoon
    • Communications for Statistical Applications and Methods
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    • 제10권2호
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    • pp.607-617
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    • 2003
  • This paper offers a practical comparison of efficiency between local likelihood approach and conventional kernel approach in density estimation. The local likelihood estimation procedure maximizes a kernel smoothed log-likelihood function with respect to a polynomial approximation of the log likelihood function. We use two types of data driven bandwidths for each method and compare the mean integrated squares for several densities. Numerical results reveal that local log-linear approach with simple plug-in bandwidth shows better performance comparing to the standard kernel approach in heavy tailed distribution. For normal mixture density cases, standard kernel estimator with the bandwidth in Sheather and Jones(1991) dominates the others in moderately large sample size.

$L^1$ Bandwidth Selection in Kernel Regression Function Estimation

  • Jhun, Myong-Shic
    • Journal of the Korean Statistical Society
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    • 제17권1호
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    • pp.1-8
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    • 1988
  • Kernel estimates of an unknown regression function are studied. Bandwidth selection rule minimizing integrated absolute error loss function is considered. Under some reasonable assumptions, it is shown that the optimal bandwidth is unique and can be computed by using bisection algorithm. Adaptive bandwidth selection rule is proposed.

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Local Bandwidth Selection for Nonparametric Regression

  • Lee, Seong-Woo;Cha, Kyung-Joon
    • Communications for Statistical Applications and Methods
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    • 제4권2호
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    • pp.453-463
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    • 1997
  • Nonparametric kernel regression has recently gained widespread acceptance as an attractive method for the nonparametric estimation of the mean function from noisy regression data. Also, the practical implementation of kernel method is enhanced by the availability of reliable rule for automatic selection of the bandwidth. In this article, we propose a method for automatic selection of the bandwidth that minimizes the asymptotic mean square error. Then, the estimated bandwidth by the proposed method is compared with the theoretical optimal bandwidth and a bandwidth by plug-in method. Simulation study is performed and shows satisfactory behavior of the proposed method.

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무선 애드혹 네트워크에서 경로 품질 및 잔여 대역폭 예측에 기반한 고속 멀티미디어 데이터 전송의 라우팅 프로토콜 (An Ad-hoc Routing Protocol for High-speed Multimedia Traffic Based on Path Quality and Bandwidth Estimation in Wireless Ad Hoc Networks)

  • 아흐메드 엠디소헬;윤석훈
    • 한국인터넷방송통신학회논문지
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    • 제13권6호
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    • pp.203-210
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    • 2013
  • 무선 애드혹 네트워크에서는 제한된 대역폭, 간섭, 높은 패킷 에러율로 인하여 영상과 같은 고속 데이터 전송 시 높은 전송 품질을 제공하기 어렵다. 본 논문에서는 이러한 제약을 극복하고 고품질의 고속 멀티미디어 데이터 전송을 제공하기 위하여 패킷전송성공률 기반의 종단간 경로 품질과 각 중계노드에서의 잔여 대역폭 예측을 이용하는 PBBR (Path-Quality and Bandwidth-Estimation Based Routing) 프로토콜을 제안한다. 제안된 프로토콜의 성능을 검증하기 위하여 NS2를 이용한 시뮬레이션이 수행되었으며, 시뮬레이션 결과는 제안되는 프로토콜이 기존의 라우팅 프로토콜에 비해 높은 Throughput을 획득할 수 있음을 보인다.

Butterworth Window for Power Spectral Density Estimation

  • Yoon, Tae-Hyun;Joo, Eon-Kyeong
    • ETRI Journal
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    • 제31권3호
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    • pp.292-297
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    • 2009
  • The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade-off problem: if the bandwidth is reduced, the sidelobe attenuation is also reduced. To overcome this problem, we propose using a Butterworth window with two control parameters for power spectral density estimation and analyze its characteristics. Simulation results demonstrate that the sidelobe attenuation and the 3 dB bandwidth can be controlled independently. Thus, the trade-off problem between resolution and spectral leakage in the estimated power spectral density can be overcome.

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Optimal bandwidth in nonparametric classification between two univariate densities

  • ;강기훈
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2002년도 춘계 학술발표회 논문집
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    • pp.1-5
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    • 2002
  • We consider the problem of optimal bandwidth choice for nonparametric classification, based on kernel density estimators, where the problem of interest is distinguishing between two univariate distributions. When the densities intersect at a single point, optimal bandwidth choice depends on curvatures of the densities at that point. The problem of empirical bandwidth selection and classifying data in the tails of a distribution are also addressed.

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On the Plug-in Bandwidth Selectors in Kernel Density Estimation

  • Park, Byeong-Uk
    • Journal of the Korean Statistical Society
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    • 제18권2호
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    • pp.107-117
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    • 1989
  • A stronger result than that of Park and Marron (1994) is proved here on the asymptotic distribution of the plug-in bandwidth selector. The new result is that the plug-in bandwidth selector may have the rate of convergence ($n^{-4/13}$ with less smoothness conditions on the unknown density functions than as described in Park and Marron's paper. Together with this, a class of various plug-in bandwidth selectors are considered and their asymptotic distributions are given. Finally, some ideas of possible improvements on those plug-in bandwidth selectors are provided.

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Maximum Likelihood SNR Estimation for QAM Signals Over Slow Flat Fading Rayleigh Channel

  • Ishtiaq, Nida;Sheikh, Shahzad A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권11호
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    • pp.5365-5380
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    • 2016
  • Estimation of signal-to-noise ratio (SNR) is an important problem in wireless communication systems. It has been studied for various constellation types and channels using different estimation techniques. Maximum likelihood estimation is a technique which provides efficient and in most cases unbiased estimators. In this paper, we have applied maximum likelihood estimation for systems employing square or cross QAM signals which are undergoing slow flat Rayleigh fading. The problem has been considered under various scenarios like data-aided (DA), non-data-aided (NDA) and partially data-aided (PDA) and the performance of each type of estimator has been evaluated and compared. It has been observed that the performance of DA estimator is best due to usage of pilot symbols, with the drawback of greater bandwidth consumption. However, this can be catered for by using partially data-aided estimators whose performance is better than NDA systems with some extra bandwidth requirement.

Bandwidth-Efficient Precoding Scheme for Downlink Smart Utility Networks

  • Kim, Byung Wook
    • 한국멀티미디어학회논문지
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    • 제17권8호
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    • pp.1012-1019
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    • 2014
  • The emerging smart utility networks (SUN) provide two-way communications between smart meters and smart appliances for purpose of low power usage, low cost, and high reliability. This paper deals with a bandwidth-efficient communication method based on the hidden pilot-aided scheme using a precoder in downlink SUN suitable for high-rate multimedia applications. With the aid of the design of a precoder and a superimposed hidden pilot, it is possible to estimate the channel without loss of bandwidth. In the channel estimation procedure, the inevitable data interference, which degrades the performance of channel estimation, can be reduced by the precoder design with an iterative scheme. Computer simulations show that the proposed scheme outperforms the conventional method in terms of achievable data rate, especially when a large number of subcarriers are employed.

24시간 건강 모니터링 시스템을 위한 심전도 신호의 순시 대역폭 추정 및 잡음 제거 (Estimation of Instantaneous Bandwidth and Noise Rejection of ECG signals for 24-hours Continuous Health Monitoring System)

  • 송민;최진명;이희영
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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    • pp.89-92
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    • 2001
  • For the diagnosis of arrhythmia in the heart system, the QRS complex of ECG signals is used in many cases. The rejection of the noise in ECG signals is important to acquisition of exact QRS complex. This paper presents some experimental results about instantaneous bandwidth estimation and noise rejection of ECG signals with the purpose of rejection of the 60 Hz power noise and the motion artifacts such as EMG signals and contact noise. ECG signals corrupted by noise are cleaned by using the variable bandwidth filter. For the filtering of ECG signals with noise, the instantaneous bandwidth of the signals is estimated by analysis of time-frequency representation of ECG signal.

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