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パワースペクトル密度推定×マッチドフィルタ×
分野信号処理信号処理
系統Process / pipelineProcess / pipeline
提唱年19671943
提唱者Peter WelchD. O. North
種類Frequency domain signal analysisOptimal filter for signal detection
原典Welch, P. (1967). The Use of Fast Fourier Transform for Estimation of Power Spectra: A Method Based on Time Averaging over Short, Modified Periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70–73. DOI ↗North, D. O. (1943). An Analysis of the Factors Which Determine Signal/Noise Discrimination in Pulsed Carrier Systems. RCA Laboratories, Technical Report PTM-946. link ↗
別名PSD Estimation, Spectral Density Analysis, Power Spectrum EstimationCorrelation Detector, Optimal Filter Detection, Template Matching
関連44
概要Power Spectral Density (PSD) estimation is a set of methods for determining how the power of a signal is distributed across different frequencies. Proposed by Peter Welch in 1967, PSD estimation techniques are fundamental to frequency domain signal analysis, providing insights into the frequency composition of signals for applications ranging from communications to biomedical monitoring.The matched filter is an optimal signal detector that maximizes the signal-to-noise ratio (SNR) for detecting a known signal in additive Gaussian noise. Developed by D. O. North during World War II for radar applications, the matched filter represents the optimal linear filter for signal detection and remains the foundation for detection theory and digital communications.
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ScholarGate手法を比較: Power Spectral Density Estimation · Matched Filter. 2026-06-18に以下より取得 https://scholargate.app/ja/compare