The realization and performance analysis of noise spectral density estimation using a digital bandpass filter

1996 ◽  
Vol 80 (3) ◽  
pp. 415-423
Author(s):  
YISONG DAI
Keyword(s):  
Performance Analysis ◽  
Spectral Density ◽  
Density Estimation ◽  
Bandpass Filter ◽  
Noise Spectral Density ◽  
Spectral Density Estimation ◽  
And Performance

scholarly journals Simulation and performance analysis for coefficient estimation for sinusodial signal using LMS, RLS and proposed method

2017 ◽  
Vol 7 (1.2) ◽  
pp. 1
Author(s):  
Kantipudi MVV Prasad ◽  
H.N. Suresh
Keyword(s):  
Mathematical Modeling ◽  
Performance Analysis ◽  
Spectral Density ◽  
Random Process ◽  
Spectral Estimation ◽  
Noise Prediction ◽  
Spectral Density Estimation ◽  
Coefficient Estimation ◽  
Power Spectral ◽  
And Performance

The estimated Power Spectral Density (PSD) gives the information regarding the architectural structure of random process; it can be utilized for mathematical modeling, removal of noise, prediction of the signal of the deserved processes. The objective of spectral density estimation is to approximation the spectral density of a random signal from a series of time sample of the signal. Spectral estimation and coefficient estimation is concerned with determining the distribution in frequency of the power of a random process. In this paper, a well-known adaptive filter is used to the estimation of the spectral density of the signal. It includes the LMS, RLS and improves RLS (proposed method) to analyze the coefficient of the sinusoidal signal.

scholarly journals APPLICATION OF WEIGHTING WINDOWS FOR SPECTRAL DENSITY ESTIMATION

2021 ◽  
Author(s):  
Vera Meerson ◽  
O. Khorolsky
Keyword(s):  
Fourier Transform ◽  
Correlation Function ◽  
Spectral Density ◽  
Density Estimation ◽  
Time Windows ◽  
Spectral Density Estimation ◽  
Important Time

The article discusses the application of some of the most important time windows for spectral density estimation determined by the correlogram method (from correlation function) and the periodogram method (from direct fourier transform).

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