Krahasoni metodat

	Vlerësimi i Densitetit Spektral të Fuqisë	Filtrimi Wiener
Fusha	Përpunimi i sinjaleve	Përpunimi i sinjaleve
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1967	1949
Krijuesi	Peter Welch	Norbert Wiener
Lloji	Frequency domain signal analysis	Linear mean-square optimal filter
Burimi themelues	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.	Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons.
Emërtime të tjera	PSD Estimation, Spectral Density Analysis, Power Spectrum Estimation	Wiener Optimal Filter, Kolmogorov-Wiener Filter, Mean-Square Optimal Filter
Të lidhura	4	4
Përmbledhja	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 Wiener filter is an optimal linear filter that minimizes mean-square error between the desired signal and the filter output given knowledge of signal and noise statistics. Developed by Norbert Wiener in 1949, it provides the theoretical foundation for optimal filtering and remains the benchmark against which all other linear filtering methods are compared.