• 제목/요약/키워드: Non-uniform sampling

검색결과 36건 처리시간 0.029초

A Fixed Rate Speech Coder Based on the Filter Bank Method and the Inflection Point Detection

  • Iem, Byeong-Gwan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권4호
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    • pp.276-280
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    • 2016
  • A fixed rate speech coder based on the filter bank and the non-uniform sampling technique is proposed. The non-uniform sampling is achieved by the detection of inflection points (IPs). A speech block is band passed by the filter bank, and the subband signals are processed by the IP detector, and the detected IP patterns are compared with entries of the IP database. For each subband signal, the address of the closest member of the database and the energy of the IP pattern are transmitted through channel. In the receiver, the decoder recovers the subband signals using the received addresses and the energy information, and reconstructs the speech via the filter bank summation. As results, the coder shows fixed data rate contrary to the existing speech coders based on the non-uniform sampling. Through computer simulation, the usefulness of the proposed technique is confirmed. The signal-to-noise ratio (SNR) performance of the proposed method is comparable to that of the uniform sampled pulse code modulation (PCM) below 20 kbps data rate.

A Low Bit Rate Speech Coder Based on the Inflection Point Detection

  • Iem, Byeong-Gwan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제15권4호
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    • pp.300-304
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    • 2015
  • A low bit rate speech coder based on the non-uniform sampling technique is proposed. The non-uniform sampling technique is based on the detection of inflection points (IP). A speech block is processed by the IP detector, and the detected IP pattern is compared with entries of the IP database. The address of the closest member of the database is transmitted with the energy of the speech block. In the receiver, the decoder reconstructs the speech block using the received address and the energy information of the block. As results, the coder shows fixed data rate contrary to the existing speech coders based on the non-uniform sampling. Through computer simulation, the usefulness of the proposed technique is shown. The SNR performance of the proposed method is approximately 5.27 dB with the data rate of 1.5 kbps.

Real-time Acquisition of Three Dimensional NMR Spectra by Non-uniform Sampling and Maximum Entropy Processing

  • Jee, Jun-Goo
    • Bulletin of the Korean Chemical Society
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    • 제29권10호
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    • pp.2017-2022
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    • 2008
  • Of the experiments to shorten NMR measuring time by sparse sampling, non-uniform sampling (NUS) is advantageous. NUS miminizes systematic errors which arise due to the lack of samplings by randomization. In this study, I report the real-time acquisition of 3D NMR data using NUS and maximum-entropy (MaxEnt) data processing. The real-time acquisition combined with NUS can reduce NMR measuring time much more. Compared with multidimensional decomposition (MDD) method, which was originally suggested by Jaravine and Orekhov (JACS 2006, 13421-13426), MaxEnt is faster at least several times and more suitable for the realtime acquisition. The designed sampling schedule of current study makes all the spectra during acquisition have the comparable resulting resolutions by MaxEnt. Therefore, one can judge the quality of spectra easily by examining the intensities of peaks. I report two cases of 3D experiments as examples with the simulated subdataset from experimental data. In both cases, the spectra having good qualitie for data analysis could be obtained only with 3% of original data. Its corresponding NMR measuring time was 8 minutes for 3D HNCO of ubiquitin.

극대 및 극소점에서의 비균일 표본화에 의한 음성압축 (Speech Compression by Non-uniform Sampling at the maxima and minima)

  • 임재열;백성준;안수길;김범훈
    • 한국음향학회지
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    • 제11권4호
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    • pp.36-44
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    • 1992
  • 리던던시(redundancy)가 존재하는 신호의 데이타 압축을 위한 한 방법으로 비균일 표본화 방법이 연구되어져 왔다. 그런데 많은 리던던시가 존재한다고 알려진 음성신호에 기존의 비균일 표본화 방법을 그대로 적용하며, 데이타량이 PCM과 같은 균일 표본화에 의한 것에 필적하게 되거나 오히려 많아지게 된다. 이 문제를 해결하기 위하여 본 논문에서는 음성의 인지측면에서 리던던트한 샘플을 제거하는, 극대점과 극소점에서 비균일 표본화하는 방법을 제안한다. 그리고 본 논문에서는 제안된 방법의 성능을 분석하고자, 실험적인 방법으로 압축비관계를 살펴보며, 아울러 묶음구간 처리에 의하여 압축비를 크게 향상 시킬 수 있음을 보인다. 실험결과로써는 8kHz 8-bit PCM신호에 대하여 1.54배, 묶음처리를 한 경우에는 2.88배의 압축비를 얻었다.

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Non Uniform B-spline(NUB) 곡면에 의한 블랜드 곡면의 모델링 (Modeling of blend surfaces by Non Uniform B-spline surface patches)

  • 유우식;정회민
    • 대한산업공학회지
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    • 제26권2호
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    • pp.95-100
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    • 2000
  • Presented in this paper is a scheme for constructing ball rolling blends of a non-uniform B-spline surface(NUBS) patches. Ball rolling blending is a popular technique for blending between parametric surfaces. Along the "common edge" of a pair of "base surfaces" to be blended, a sequence of "ball positions" is sampled. The radius of the ball may vary along the line. At each sampling point, a ball center point and a pair of ball contact points are computed by applying a Jacobian inversion method. Using ball contact points, the constructing scheme of blend NUBS patches consists three steps; 1) determination of intermediate control vertices; 2) determination of boundary vectors; 3) determination of B-spline control vertices. The proposed blending scheme has been tested in a Omega CAM system and found to be working satisfactorily.

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Adaptive Sampling for ECG Detection Based on Compression Dictionary

  • Yuan, Zhongyun;Kim, Jong Hak;Cho, Jun Dong
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제13권6호
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    • pp.608-616
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    • 2013
  • This paper presents an adaptive sampling method for electrocardiogram (ECG) signal detection. First, by employing the strings matching process with compression dictionary, we recognize each segment of ECG with different characteristics. Then, based on the non-uniform sampling strategy, the sampling rate is determined adaptively. As the results of simulation indicated, our approach reconstructed the ECG signal at an optimized sampling rate with the guarantee of ECG integrity. Compared with the existing adaptive sampling technique, our approach acquires an ECG signal at a 30% lower sampling rate. Finally, the experiment exhibits its superiority in terms of energy efficiency and memory capacity performance.

하이브리드 업샘플링을 이용한 베이시안 초해상도 영상처리 (Super-Resolution Image Processing Algorithm Using Hybrid Up-sampling)

  • 박종현;강문기
    • 전기학회논문지
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    • 제57권2호
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    • pp.294-302
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    • 2008
  • In this paper, we present a new image up-sampling method which registers low resolution images to the high resolution grid when Bayesian super-resolution image processing is performed. The proposed up-sampling method interpolates high-resolution pixels using high-frequency data lying in all the low resolution images, instead of up-sampling each low resolution image separately. The interpolation is based on B-spline non-uniform re-sampling, adjusted for the super-resolution image processing. The experimental results demonstrate the effects when different up-sampling methods generally used such as zero-padding or bilinear interpolation are applied to the super-resolution image reconstruction. Then, we show that the proposed hybird up-sampling method generates high-resolution images more accurately than conventional methods with quantitative and qualitative assess measures.

Low-Sampling Rate UWB Channel Characterization and Synchronization

  • Maravic, Irena;Kusuma, Julius;Vetterli, Martin
    • Journal of Communications and Networks
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    • 제5권4호
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    • pp.319-327
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    • 2003
  • We consider the problem of low-sampling rate high-resolution channel estimation and timing for digital ultrawideband (UWB) receivers. We extend some of our recent results in sampling of certain classes of parametric non-bandlimited signals and develop a frequency domain method for channel estimation and synchronization in ultra-wideband systems, which uses sub-Nyquist uniform sampling and well-studied computational procedures. In particular, the proposed method can be used for identification of more realistic channel models, where different propagation paths undergo different frequency-selective fading. Moreover, we show that it is possible to obtain high-resolution estimates of all relevant channel parameters by sampling a received signal below the traditional Nyquist rate. Our approach leads to faster acquisition compared to current digital solutions, allows for slower A/D converters, and potentially reduces power consumption of digital UWB receivers significantly.

破壤檢査詩의 最小費용 샘플링 檢査方式 (A minimum cost sampling inspection plan for destructive testing)

  • 趙星九;裵道善
    • Journal of the Korean Statistical Society
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    • 제7권1호
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    • pp.27-43
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    • 1978
  • This paper deals with the problem of obtaining a minimum cost acceptance sampling plan for destructive testing. The cost model is constructed under the assumption that the sampling procedure takes the following form; 1) lots rejected on the first sample are acreened with a non-destructive testing, 2) the screening is assumed to be imperfect, and therefore, after the screening, a second sample is taken to determine whether to accept the lot of to scrap it. The usual sampling procedures for destructive testing can be regarded as special cases of the above one. Utilizing Hald's Bayesian approach, procedures for finding the global optimal sampling plans are given. However, when the lot size is large, the global plan is very different to obtain even with the aid of an electronic computer. Therefore a method of finding suboptimal plan is suggested. An example with uniform prior is also given.

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