• 제목/요약/키워드: complexity distance

검색결과 292건 처리시간 0.025초

Low-Complexity Design of Quantizers for Distributed Systems

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • 제16권3호
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    • pp.142-147
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    • 2018
  • We present a practical design algorithm for quantizers at nodes in distributed systems in which each local measurement is quantized without communication between nodes and transmitted to a fusion node that conducts estimation of the parameter of interest. The benefits of vector quantization (VQ) motivate us to incorporate the VQ strategy into our design and we propose a low-complexity design technique that seeks to assign vector codewords into sets such that each codeword in the sets should be closest to its associated local codeword. In doing so, we introduce new distance metrics to measure the distance between vector codewords and local ones and construct the sets of vector codewords at each node to minimize the average distance, resulting in an efficient and independent encoding of the vector codewords. Through extensive experiments, we show that the proposed algorithm can maintain comparable performance with a substantially reduced design complexity.

거리 근사를 이용하는 고속 최근 이웃 탐색 분류기에 관한 연구 (Study on the fast nearest-neighbor searching classifier using distance approximation)

  • 이일완;채수익
    • 전자공학회논문지C
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    • 제34C권2호
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    • pp.71-79
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    • 1997
  • In this paper, we propose a new nearest-neighbor classifier with reduced computational complexity in search process. In the proposed classifier, the classes are divided into two sets: reference and non-reference sets. It reduces computational requriement by approximating the distance between the input and a class iwth the information of distances among the calsses. It calculates only the distance between the input and the reference classes. We convert a given classifier into RCC (reduced computational complexity but smal lincrease in misclassification probability of its corresponding RCC classifier. We designed RCC classifiers for the recognition of digits from the NIST database. We obtained an RCC classifier with 60% reduction in the computational complexity with the cost of 0.5% increase in misclassification probability.

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이동 애드혹 네트워크를 위한 경로 지속성을 고려한 거리벡터 멀티케스트 프로토콜 (Durable Distance Vector Multicasting Protocol for Mobile Ad hoc Networks Based on Path-Durability)

  • 이세영;장형수
    • 한국정보과학회논문지:정보통신
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    • 제33권6호
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    • pp.461-472
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    • 2006
  • 본 논문에서는 distance vector 라우팅 알고리즘에 경로 지속성에 대한 분석을 적용한 Durable Distance Vector Multicast(DDVM) 알고리즘을 제안한다. DDVM은 기존의 distance vector 알고리즘에 PATHS의 분석 내용을 기반으로 한 경로 지속성 정보를 포함하여 견고한 멀티캐스팅 경로를 구성한다. 또한 경로 정보에 목적지까지의 세부적인 경로의 지속성 정보 역시 포함하여 멀티캐스팅 경로 형성의 실패율을 줄이고 보다 지속성 있는 경로를 멀티캐스팅 경로에 포함시킨다. 이러한 경로들을 통해 멀티캐스팅을 수행함으로서 high mobility 환경에서 기존의 알고리즘보다 높은 전송률을 보이며, 실험 결과를 통해 이를 확인할 수 있다.

$p^m$-주기 이진 수열의 ${\kappa}$-오류 선형복잡도와 이진 순환 부호에의 응용 (On the ${\kappa}$-Error Linear Complexity of $p^m$-Periodic Binary Sequences and Its Applications to Binary Cyclic Codes)

  • 한윤경;양경철
    • 한국통신학회논문지
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    • 제31권9C호
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    • pp.846-852
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    • 2006
  • ${\kappa}$-오류 선형복잡도는 통신 시스템 및 스트림 암호 시스템 등에 사용되는 수열의 안정성 여부를 판단하는 중요한 척도이다. 본 논문은 p가 소수이고 2가 모듈로 $p^2$의 원시근일 때 $p^m$-주기 이진 수열의 k-오류 선형복잡도와 해당 오류벡터를 효과적으로 구할 수 있는 알고리듬을 소개한다. 또한 암호학적인 관점에서 정의된 ${\kappa}$-오류 선형 복잡도의 의미를 부호 이론의 관점에서 살펴봄으로써 부호어의 길이가 $p^m$인 이진 순환 부호를 효과적으로 복호할 수 있는 알고리듬을 소개하며 이러한 부호의 최소 거리에 관한 중요한 성질들을 유도한다.

A Low-Complexity Antenna Selection Algorithm for Quadrature Spatial Modulation Systems

  • Kim, Sangchoon
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권1호
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    • pp.72-80
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    • 2017
  • In this work, an efficient transmit antenna selection approach for the quadrature spatial modulation (QSM) systems is proposed. The conventional Euclidean distance antenna selection (EDAS)-based schemes in QSM have too high computational complexity for practical use. The proposed antenna selection algorithm is based on approximation of the EDAS decision metric employed for QSM. The elimination of imaginary parts in the decision metric enables decoupling of the approximated decision metric, which enormously reduces the complexity. The proposed method is also evaluated via simulations in terms of symbol error rate (SER) performance and compared with the conventional EDAS methods in QSM systems.

Transmit Antenna Selection for Quadrature Spatial Modulation Systems with Power Allocation

  • Kim, Sangchoon
    • International journal of advanced smart convergence
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    • 제9권1호
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    • pp.98-108
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    • 2020
  • We consider transmit antenna selection combined with power allocation for quadrature spatial modulation (QSM) systems to improve the error rate performance. The Euclidean distance-based joint optimization criterion is presented for transmit antenna selection and power allocation in QSM. It requires an exhaustive search and thus high computational complexity. Thus its reduced-complexity algorithm is proposed with a strategy of decoupling, which is employed to successively find transmit antennas and power allocation factors. First, transmit antennas are selected without considering power allocation. After selecting transmit antennas, power allocation factors are determined. Simulation results demonstrate considerable performance gains with lower complexity for transmit antenna selected QSM systems with power allocation, which can be achieved with limited rate feedback.

연속음에서의 각 음소의 대표구간 추출에 관한 연구 (A study on extraction of the frames representing each phoneme in continuous speech)

  • 박찬응;이쾌희
    • 전자공학회논문지B
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    • 제33B권4호
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    • pp.174-182
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    • 1996
  • In continuous speech recognition system, it is possible to implement the system which can handle unlimited number of words by using limited number of phonetic units such as phonemes. Dividing continuous speech into the string of tems of phonemes prior to recognition process can lower the complexity of the system. But because of the coarticulations between neiboring phonemes, it is very difficult ot extract exactly their boundaries. In this paper, we propose the algorithm ot extract short terms which can represent each phonemes instead of extracting their boundaries. The short terms of lower spectral change and higher spectral chang eare detcted. Then phoneme changes are detected using distance measure with this lower spectral change terms, and hgher spectral change terms are regarded as transition terms or short phoneme terms. Finally lower spectral change terms and the mid-term of higher spectral change terms are regarded s the represent each phonemes. The cepstral coefficients and weighted cepstral distance are used for speech feature and measuring the distance because of less computational complexity, and the speech data used in this experimetn was recoreded at silent and ordinary in-dorr environment. Through the experimental results, the proposed algorithm showed higher performance with less computational complexity comparing with the conventional segmetnation algorithms and it can be applied usefully in phoneme-based continuous speech recognition.

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Weighted Distance-Based Quantization for Distributed Estimation

  • Kim, Yoon Hak
    • Journal of information and communication convergence engineering
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    • 제12권4호
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    • pp.215-220
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    • 2014
  • We consider quantization optimized for distributed estimation, where a set of sensors at different sites collect measurements on the parameter of interest, quantize them, and transmit the quantized data to a fusion node, which then estimates the parameter. Here, we propose an iterative quantizer design algorithm with a weighted distance rule that allows us to reduce a system-wide metric such as the estimation error by constructing quantization partitions with their optimal weights. We show that the search for the weights, the most expensive computational step in the algorithm, can be conducted in a sequential manner without deviating from convergence, leading to a significant reduction in design complexity. Our experments demonstrate that the proposed algorithm achieves improved performance over traditional quantizer designs. The benefit of the proposed technique is further illustrated by the experiments providing similar estimation performance with much lower complexity as compared to the recently published novel algorithms.

듀얼첩간 위상차이를 이용한 저복잡도 FMCW 감시 레이더 알고리즘 (Low Complexity FMCW Surveillance Radar Algorithm Using Phase Difference of Dual Chirps)

  • 진영석;현유진;김상동;김봉석;이종훈
    • 대한임베디드공학회논문지
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    • 제12권2호
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    • pp.71-77
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    • 2017
  • This paper proposes a low complexity frequency modulated continuous wave (FMCW) surveillance radar algorithm. In the conventional surveillance radar systems, the two dimensional (2D) fast Fourier transform (FFT) method is usually employed in order to detect the distance and velocity of the targets. However, in a surveillance radar systems, it is more important to immediately detect the presence or absence of the targets, rather than accurately detecting the distance or speed information of the target. In the proposed algorithm, in order to immediately detect the presence or absence of targets, 1D FFT is performed on the first and M-th bit signals among a total of M beat signals and then a phase change between two FFT outputs is observed. The range of target is estimated only when the phase change occurs. By doing so, the proposed algorithm achieves a significantly lower complexity compared to the conventional surveillance scheme using 2D FFT. In addition, show in order to verify the performance of the proposed algorithm, the simulation and the experiment results are performed using 24GHz FMCW radar module.

피라미드 구조를 이용한 계층적 hausdorff distance 정합 (Hierarchical hausdorff distance matching using pyramid structures)

  • 권오규;심동규;박래홍
    • 전자공학회논문지S
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    • 제34S권12호
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    • pp.70-80
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    • 1997
  • This paper proposes a hierarchical Hausdorff distance (HD) matching algorithm baased on coarse-to-fine approach. It reduces the computational complexity greatly by using the pyramidal structures consisting of distance transform (DT) and edge pyramids. Also, inthe proposed hierarchical HD matching, a thresholding method is presented to find an optimal matching position with small error, in which the threshold values are determined by using the property between adjacent level of a DT map pyramid. By computer simulation, the performance of the conventional and proposed hierarchical HD matching algorithms is compared in therms of the matching position for binary images containing uniform noise.

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