ScholarWorks@Hongik: Yoo, Do Sik

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Yoo, Do Sik (유도식)

Engineering (Electronic & Electrical Engineering)

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Artificial neural network:4||Object tracking:4||Kalman filter:4||MIMO radar:3||DOA estimation:3||DualityI. IntroductionOne of the fundamental problems in designing transform coders is rate allocation: distributing a given average bit rate among the coefficient quantizers to min:2||Presence or Absence of Precipitation:2||s ratio:2||Propagator method:2||ESPRIT:2||Quantization:2||Cognitive radio:2||deformation:2||Bit Allocation:2||energy saving:2||extrinsic information:2||turbo codes:2||extrinsic memory:2||we derive the Gallager random coding bound for discrete memoryless channels by a sequence of algebraic manipulations of simple inequalities r:2||강수 유무 예측:2||Simple manipulations of algebraic inequalitiesI. IntroductionIn this letter:2||Small cell:2||Gallager random comding bound:2||Compressive Sensing:2||negative Poisson&apos:2||Convolutional Neural Network:2||Artificial Neural Network:2||Multiple signal classification.:2||시계열 데이터 처리:2||Time Series Data Processing:2||Integer Constraint:2||Transform Coding:2||Nonuniform array:2||ULA:2||Direction of arrival:2||Coprime array:2||LSTM:2||Audio Signal Processing:2||Maximumlikelihood estimation:1||Military communication:1||Multi layer perceptron:1||Nonlinear filtering:1||Nordstrom Robinson code:1||Optimization:1||Particle filter:1||Particle filter.:1||Pattern Recognition:1||Power demand:1||Quadratic Kalman filter.:1||Rayleigh flat fading:1||Recurrent neural network:1||Reed Solomon codes:1||Signal Detection:1||Signal processing:1||Spectral correlation density:1||Spectrum Sensing:1||Spectrum sensing:1||Subspacebased methods.:1||Switches:1||Transfer Learning:1||Uniform Circular Array:1||Uniform Linear Array:1||Userrelay:1||Weighted average:1||activemode threshold decision:1||analytic representation:1||auxetic:1||auxetics:1||baseband representation:1||bit error probability:1||channel capacity:1||channel state information:1||cognitive radio:1||coherent:1||concatenation:1||duobinary:1||energy efficiency:1||hourglass units:1||linear timevariant (LTV) system:1||low duty cycle:1||multihop communications:1||network connectivity:1||nonbinary:1||noncoherent:1||noncoherent demodulation:1||off control:1||on:1||on threshold:1||on/off control:1||orthogonal modulation:1||orthogonat/biorthogonal modulation:1||parametric estimation:1||quantization:1||receiver cooperation:1||relay:1||relay channel:1||relay channel capacity:1||sensor network:1||short packet transmission:1||sleep mode control:1||sleep/activemode control:1||sliding units:1||spectral correlation density:1||spectrum sensing:1||throughput:1||topology control:1||transmitter cooperation:1||turbo code:1||value at risk:1||교차 어텐션 신경망:1||딥 러닝:1||라플라스 분포:1||모수적 방법:1||비대칭 라플라스 분포:1||사이클로스테이션너리 검출:1||스펙트럴 상관 밀도:1||스펙트럼 센싱:1||시장위험측정:1||인지 무선:1||종합주가지수:1||ATSC:1||특징 추출:1||ATSC DTV:1||AWGN:1||Adhoc network:1||Advanced television systems committee (ATSC) DTV:1||Asymmetric Laplacian distribution:1||Azimuth Angle Estimation.:1||CSI:1||Capacity:1||Cognitive Radio:1||Complexity theory:1||Convolutional codes:1||Cross Attention Neural Network:1||Cyclostationary:1||Cyclostationary detection:1||DOD estimation:1||Deep Learning:1||Direction of Arrival Estimation:1||Direction of Departure Estimation:1||DoA estimation:1||Doppler spread:1||Elevation Angle Estimation:1||Energy consumption:1||Feature extraction:1||Frequency hopping:1||Gaussian interference channel:1||Hardware:1||IEEE 802.22 wireless regional area networks (WRAN):1||Interception complexity:1||KOSPI:1||Laplacian distribution:1||Longshort term memory:1||Low probability interception:1||MIMO:1||MIMO RADAR:1||Markov chain:1||Markov processes:1||Maximum likelihood method:1||

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