• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.101-104
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• 2004

음성속도변환(TSM : Time Scaling Modification) 알고리즘은 시간축에서 음성 신호의 속도를 변환할 수 있는 방식이다. 이러한, 방법으로는 OLA(Overlap Add), SOLA (Synchronized Overlap Add) 알고리즘 등이 연구 되어 왔다. 2 가지 방식 중에도 동기화를 시켜 overlap 을 시키는 SOLA 알고리즘이 OLA 방법에 비해 음질이 우수하다. 본 논문에서는 TMS320C5416 DSP 에 계산량이 감소된 SOLA 알고리즘을 실시간 구현하였다. 기존의 SOLA 알고리즘에서 동기화를 위해 사용하고 있는 cross-correlation 함수는 곱셈연산에서 발생하는 bit 의 dynamic range 가 커서 나눗셈 연산에서도 과도한 연산량을 필요로 한다. 따라서 이러한 계산량의 감소를 위해 기존의 cross-correlation 함수가 대신 더하기와 빼기의 연산으로 수행되는 NAMDF 함수를 사용하여 계산량을 줄였다. 제안한 방법을 SOLA 알고리즘에 적용하여 성능 평가를 실시하였다. TMS320C5416 DSP 에 실시간으로 실험한 결과 NAMDF 함수를 사용하였을 경우 음질의 저하가 거의 없었으며, 계산량을 기존의 cross-correlation 방식에 비해 6.22MIPS 가까이 감소시킬 수 있었다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.5
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• pp.3-15
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• 2003

The secure group communication enables the members, which belong to the same group, to communicate each other in a secure and secret manner. To do so, it is the most important that a group key is securely distributed among them and also group membership is efficiently managed. In detail, the generation, the distribution and the refreshment of a group key would be highly regarded in terms of low communication and computation complexity. In this paper, we show you a new protocol to generate a group key which will be safely shared within a group, utilizing the 2-party Diffie-Hellman key exchange protocol and the complete binary tree. Our protocol has less complexity of computation per group member by substituting many parts of exponentiation computations for multiplications. Consequently, each group member needs constant computations of exponentiation and multiplication regardless of the group size in the protocol and then it has less complexity of the computation than that of any other protocols.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2008.02a
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• pp.89-93
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• 2008

본 논문에서는 단순전력 분석(SPA)과 오류주입공격(FA)에 안전한 중국인의 나머지 정리를 이용한 RSA 암호 시스템(CRT-RSA)에 대하여 논한다. CRT-RSA를 이용한 서명 알고리즘은 스마트카드와 같은 내장형 장치(embedded device)에서 널리 사용된다. 하지만 이러한 장치들은 전력분석 공격과 오류주입 공격에 취약하다. 2005년 Giraud가 처음으로 단순전력분석과 오류주입공격에 모두 안전한 대응 방법을 제안하였다. 본 논문에서는 Giraud의 대응 방법에 대한 다른 공격방법을 소개하고, 제시한 공격 방법에도 안전한 대응 방법을 제안한다. 본 논문에서 제안하는 대응 방법은 세 개의 메모리와 덧셈과 뺄셈연산을 추가적으로 요구한다. 추가적으로 요구되는 연산량은 모듈러 지수승 연산에 필요한 연산량에 비교하면 크게 고려하지 않아도 될 연산량이다. 그러므로 본 논문에서 제안하는 대응 방법은 내장형 장치와 같은 환경에서 안전하고 효율적으로 이용될 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.3A
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• pp.324-330
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• 2004

In this paper, we propose the TCM(Trellis coded modulation) decoding scheme that reduces the number of operations in branch metric with STBC(space time block codes) channel information and present the implementation results. The proposed TCM decoding scheme needs only 1 signal point in each TCM subset. Using bias point scheme, It detects the minimum distance symbol. The proposed TCM decoding scheme can reduce the branch metric calculations. In case of 16QAM 8 subset, the reduction ratio is about 50％ and for 64QAM 8 subset, about 80％ reduction can be obtained. The results of logic synthesis for the TCM and STBC decoder with the proposed scheme are 57.6K gate count.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.84-90
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• 2019

Tremendous computation of full search or lossless motion estimation algorithms for video coding has led development of many fast motion estimation algorithms. We still need proper control of computation and prediction quality. In the paper, we suggest an algorithm that reduces computation effectively and controls computational amount and prediction quality, while keeping prediction quality as almost the same as that of the full search. The proposed algorithm uses multiple thresholds for partial block sum and times of counting unchanged minimum position for each step. It also calculates the partial block matching error, removes impossible candidates early, implements fast motion estimation by comparing times of keeping the position of minimum error for each step, and controls prediction quality and computation easily by adjusting the thresholds. The proposed algorithm can be combined with conventional fast motion estimation algorithms as well as by itself, further reduce computation while keeping the prediction quality as almost same as the algorithms, and prove it in the experimental results.

• Journal of KIISE:Software and Applications
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• v.29 no.1_2
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• pp.98-113
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• 2002

In this paper, we present advanced algorithms to reduce the computations of block matching algorithms for motion estimation in video coding. Advanced multi-level successive elimination algorithms(AMSEA) are based on the Multi-level successive elimination algorithm(MSEA)[1]. The first algorithm is that when we calculate the sum of absolute difference (SAD) between the sum norms of sub-blocks in MSEA, we use the partial distortion elimination technique. By using the first algorithm, we can reduce the computations of MSEA further. In the second algorithm, we calculate SAD adaptively from large value to small value according to the absolute difference values between pixels of blocks. By using the second algorithm, the partial distortion elimination in SAD calculation can occur early. So, the computations of MSEA can be reduced. In the third algorithm, we can estimate the elimination level of MSEA. Accordingly, the computations of the MSEA related to the level lower than the estimated level can be reduced. The fourth algorithm is a very fast block matching algorithm with nearly 100% motion estimation accuracy. Experimental results show that AMSEA are very efficient algorithms for the estimation of motion vectors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2405-2411
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• 2009

MMSE, ZF and ML are the decoding mechanisms for V-BLAST system, and ML shows the best performance decoding the original signal among them. However, it has a problem that the computation complexity is increased exponentially according to the number of transmit antennas and transmit degrees. In this paper, we propose a low complexity linear ML detection algorithm having low computation complexity, then analyze the system performance in BER and computation complexity comparing with other algorithms. In the simulation, the BER performance of the proposed algorithm is superior than ZF and MMSE detection algorithms, and similar to ML detection algorithm. However, its computation complexity was 50% less than ML algorithm. From the results, we confirm that the proposed algorithm is superior than other ML detection algorithms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.1
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• pp.10-18
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• 2013

Recently, a fixed complexity LR(fcLR) technique was proposed. Also QR-LRL signal detection method was proposed in which all constellation symbols are tried as the symbol corresponding to the least reliable layer (LRL), thereby achieving high error performance. In this paper, we combine these two efficient methods to propose a novel detection method. When the LRL is disregarded in the process of LR, the worst case complexity of LR is significantly reduced. Also, the proposed method is shown to be superior to the conventional fcLR-based detection method from the perspective of error performance. Simulations are performed to demonstrate the efficacy of the proposed method.

• Journal of Broadcast Engineering
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• v.16 no.5
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• pp.861-872
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• 2011

Many fast block-matching algorithms (BMAs) in motion estimation field reduce computational complexity by screening the number of checking points. Although many fast BMAs reduce computations, sometimes they should endure matching errors in comparison with full-search algorithm (FSA). In this paper, a novel fast BMA for constrained one-bit transform (C1BT)-based motion estimation is proposed in order to decrease the calculations of the block distortion measure. Unlike the classical fast BMAs, the proposed algorithm shows a new approach to reduce computations. It utilizes the binomial distribution based on the characteristic of binary plane which is composed of only two elements: 0 and 1. Experimental results show that the proposed algorithm keeps its peak signal-to-noise ratio (PSNR) performance very close to the FSA-C1BT while the computation complexity is reduced considerably.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.12C
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• pp.1231-1238
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• 2005

This paper presents a new fast encoding algorithm for image vector quantization that incorporates the partial distances of multiple features with a multidimensional look-up table (LUT). Although the methods which were proposed earlier use the multiple features, they handles the multiple features step by step in terms of searching order and calculating process. On the other hand, the proposed algorithm utilizes these features simultaneously with the LUT. This paper completely describes how to build the LUT with considering the boundary effect for feasible memory cost and how to terminate the current search by utilizing partial distances of the LUT Simulation results confirm the effectiveness of the proposed algorithm. When the codebook size is 256, the computational complexity of the proposed algorithm can be reduced by up to the $70\%$ of the operations required by the recently proposed alternatives such as the ordered Hadamard transform partial distance search (OHTPDS), the modified $L_2-norm$ pyramid ($M-L_2NP$), etc. With feasible preprocessing time and memory cost, the proposed algorithm reduces the computational complexity to below the $2.2\%$ of those required for the exhaustive full search (EFS) algorithm while preserving the same encoding quality as that of the EFS algorithm.