I. Song

Sejong University, Seoul, Seoul, South Korea

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Publications (13)10.18 Total impact

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    Article: Detection Schemes for Weak Signals in First-Order Moving Average of Impulsive Noise
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    ABSTRACT: In this paper, the detection of weak signals in additive noise described by the first-order moving average (FOMA) of an impulsive process is considered. Specifically, decision regions of the maximum likelihood (ML) and suboptimum ML (S-ML) detectors are derived in the FOMA noise model, and specific examples of the ML and S-ML decision regions are obtained. The ML and S-ML detectors are employed in the antipodal signaling system and compared in terms of bit error rate in an impulsive noise environment. Numerical results show that the S-ML detector, despite its reduced complexity and simpler structure, exhibits practically the same performance as the optimum ML detector. It is also observed that the performance gap between detectors for FOMA and independent and identically distributed noise becomes larger as the degree of noise impulsiveness increases
    IEEE Transactions on Vehicular Technology 02/2007; · 1.92 Impact Factor
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    Article: A Comparative Analysis of Optimum and Suboptimum Rake Receivers in Impulsive UWB Environment
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    ABSTRACT: In this paper, the performance of rake receivers in the presence of fading and impulsive noise is addressed. The optimum maximum likelihood (ML) rake receiver for impulsive fading channel is derived, and a suboptimum rake receiver with a reduced complexity is obtained for practical purposes. Numerical results show that the suboptimum rake receiver exhibits almost the same performance as the optimum rake receiver. It is also observed that, as the number of fingers of a rake receiver increases, the performance of the rake receiver designed for impulsive environment improves, while the rake receiver optimized for Gaussian environment experiences performance degradation in an impulsive environment
    IEEE Transactions on Vehicular Technology 12/2006; · 1.92 Impact Factor
  • Conference Proceeding: Optimization of a gas jet-type Z-pinch discharge EUV light source
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    ABSTRACT: A high repetitive, compact and low-debris Xenon Z-pinch discharge system has been designed and fabricated as an EUV light source, in which a newly developed gas jet-type Z-pinch source is used. The discharge head has a coaxial double nozzle and a diffuser. Xenon Z-pinch plasma that emits EUV light is produced between the inner nozzle and the corresponding diffuser. An annular shell of a He gas curtain produced by the outer nozzle is specially designed for shielding the debris and suppressing the inner gas expansion. We have succeeded in generating EUV emitting plasma of 0.14 mm FWHM diameter and 0.80 mm FWHM length. We have also developed a new pulse power supply system, which has two magnetic pulse compression stages to achieve higher discharge current
    Discharges and Electrical Insulation in Vacuum, 2006. ISDEIV '06. International Symposium on; 10/2006
  • Conference Proceeding: Hardware/software approache for the FPGA implementation of a fuzzy logic controller
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    ABSTRACT: This paper presents different approaches to design and implement a fuzzy logic controller (FLC) for an intelligent parking system (IPS). In recent years fuzzy logic has been adopted for scientific and engineering applications. FLC is particularly successful in the area of system control when human expert knowledge is available. It provides an alternative much simpler than the use of an analytical model. FLC can be implemented on an FPGA (field-programmable gate array) using software or hardware approach. With the software approach, FLC is performed on a flexible FPGA soft core processor. The FLC is developed and tested on a reconfigurable FPGA board
    Design and Test of Integrated Systems in Nanoscale Technology, 2006. DTIS 2006. International Conference on; 10/2006
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    Article: Explicit correlation coefficients among random variables, ranks, and magnitude ranks
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    ABSTRACT: In this correspondence, we address the derivation of joint distributions and correlation coefficients for seven pairs of statistics used commonly in a number of signal detection schemes. The upper and lower bounds of the correlation coefficients are obtained, and relationships among the correlation coefficients are derived. Explicit values of the correlation coefficients evaluated for some specific noise distributions are shown for easy reference.
    IEEE Transactions on Information Theory 06/2006; · 3.01 Impact Factor
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    Article: Analysis and performance comparison of the trellis coded and convolutional coded DS/SSMA systems in impulsive noise environment
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    ABSTRACT: The authors investigate the performance of two types of direct-sequence spread-spectrum multiple-access (DS/SSMA) systems in an impulsive noise, Rician fading environment. It is observed that it is possible to get some coding gain over uncoded systems except at low SNR and that additional coding gain can be obtained by using optimum asymmetric TCM. It is also shown that the performance of the DS/SSMA systems degrades more as the noise becomes more impulsive
    IEE Proceedings - Communications 09/1998; · 0.32 Impact Factor
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    Article: Comparison of known signal detection schemes under a weakly dependent noise model
    T. Kim, J.S. Yun, I. Song, Y.J. Na
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    ABSTRACT: The authors consider the discrete-time signal detection problem under the presence of additive noise exhibiting weak dependence. They first propose a weakly dependent noise model, in which the additive noise is modelled as a moving average process. They derive the locally optimum, memoryless, and one-memory detector test statistics under the model. The asymptotic performance of the one-memory detector is compared with that of the locally optimum and memoryless detectors. Specific examples for the asymptotic performance comparison of these detectors are considered. The authors also investigate the finite sample-size performance of several detectors through Monte-Carlo simulation. It is observed that the one-memory detector can achieve almost optimum performance at the expense of only one memory unit under the weakly dependent noise model, and is rather insensitive to slight model change
    IEE Proceedings - Vision Image and Signal Processing 11/1994;
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    Article: An application of the generalized Neyman-Pearson fuzzy test to stochastic-signal detection
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    ABSTRACT: In the article an application of the fuzzy testing of hypothesis to the stochastic-signal detection problem is considered when the signal-to-noise ratio approaches zero. We first obtain the general relationship between the test statistic of the locally optimum fuzzy detector and that of the locally optimum detector. Based on this result, the test statistic and structures of the locally optimum fuzzy detector for stochastic signals are obtained. Several aspects of the locally optimum fuzzy nonlinearity for stochastic signals are also described. Finally, performance characteristics of the locally optimum fuzzy detector are briefly discussed
    IEEE Transactions on Systems Man and Cybernetics 10/1993;
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    Conference Proceeding: A 5th order bilinear switched-current Chebyshev filter
    I. Song, G.W. Roberts
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    ABSTRACT: The design and implementation results of a fifth-order Chebychev filter using switched-current or (SI) bilinear integrators are presented. The signal-flow graph of the filter is derived from an LC ladder and is composed of basic building blocks of bilinear integrators. These bilinear integrators are implemented using an SI integrator. Using a 1.2-μm CMOS4S process, simulation results of the bilinear integrator as well as the filter using CADENCE are shown, both at the schematic level and the layout level
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on; 06/1993
  • Conference Proceeding: Analysis of DS/SSMA system with hard-limiting correlator over fading channels with impulsive noise
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    ABSTRACT: The performance of a DS/SSMA (direct-sequence spread-spectrum multiaccess) system with hard-limiting correlation receivers is analyzed over nonselective Rician fading channels with impulsive noise. More specifically, computation of the average bit-error probabilities of the DS/SSMA system have been accomplished in this paper by exact computation for short spreading sequences and by approximation for long spreading sequences
    Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on; 11/1992
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    Article: Locally optimum rank detection of correlated random signals in additive noise
    I. Song, S.A. Kassam
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    ABSTRACT: Nonparametric detection of a zero-mean random signal in additive noise is considered. The locally optimum detector based on signs and ranks of observations is derived, for good weak-signal detection performance under any specified noise probability density function. This detector is shown to have interesting similarities to the locally optimum detector for random signals. It may also be viewed as a generalization of the locally optimum rank detector for known signals. Examples of the test statistic of the detector are given for some specific noise probability density functions. Asymptotic and finite sample-size performance of the locally optimum rank detector is also considered
    IEEE Transactions on Information Theory 08/1992; · 3.01 Impact Factor
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    Conference Proceeding: Performance analysis of detectors in additive and multiplicative noise
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    ABSTRACT: Performance characteristics of the locally optimum detector for composite signals in additive and multiplicative noise are investigated. A noise model in which the effects of both additive and multiplicative noise components can simultaneously be considered for a signal detection problem is used. The signal is a composite which contains both deterministic and stochastic signal components. To illustrate the performance of the locally optimum detector, finite sample-size performance characteristics of the locally optimum detector are obtained and compared with those of other detectors
    Military Communications Conference, 1991. MILCOM '91, Conference Record, 'Military Communications in a Changing World'., IEEE; 12/1991
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    Article: Nonlinear smoothing filters based on rank estimates of location
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    ABSTRACT: A class of nonlinear filters that are based on the rank estimates ( R -estimates) of location parameters in statistical theory is introduced. It is shown how moving-window rank filters ( R -filters) can be defined starting from rank estimates of location. These filters utilize the relative ranks of the observations in each window to produce an output value. The idea of rank Winsorization is extended to that of averaging only observations which lie within small temporal neighborhoods. This leads to a definition of the class of generalized Wilcoxon (GW) filters, which are parameterized by three parameters, namely the degrees of temporal and rank Winsorization and the degree of averaging. The GW filters can be defined to have desirable characteristics of edge preservation, detail retention, and impulse rejection, in addition to the property of Gaussian noise smoothing. Performance characteristics of these filters are considered through analysis and simulation. The filters show that all three well-known classes of robust location estimates, the L -, M -, and R -estimates, can be applied to nonlinear smoothing of signals
    IEEE Transactions on Acoustics Speech and Signal Processing 10/1989;