of spectral density estimation (SDE) or simply spectral estimation is to estimate the spectral density (also known as the power spectral density) of...
23 KB (3,534 words) - 13:53, 8 May 2024
In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable...
9 KB (1,305 words) - 15:40, 18 April 2024
noise Least-squares spectral analysis Noise spectral density Spectral density estimation Spectral efficiency Spectral leakage Spectral power distribution...
36 KB (5,665 words) - 18:03, 26 June 2024
noise spectral density (NSD), noise power density, noise power spectral density, or simply noise density (N0) is the power spectral density of noise...
3 KB (301 words) - 06:09, 27 September 2023
Maximum entropy spectral estimation is a method of spectral density estimation. The goal is to improve the spectral quality based on the principle of...
4 KB (598 words) - 09:44, 8 November 2021
Welch's method, named after Peter D. Welch, is an approach for spectral density estimation. It is used in physics, engineering, and applied mathematics...
4 KB (452 words) - 16:32, 6 January 2024
deliver the local treatment effect. The two most common approaches to estimation using an RDD are non-parametric and parametric (normally polynomial regression)...
23 KB (2,962 words) - 01:35, 3 May 2024
Multitaper (category Signal estimation)
In signal processing, multitaper analysis is a spectral density estimation technique developed by David J. Thomson. It can estimate the power spectrum...
12 KB (1,504 words) - 11:08, 29 July 2024
the periodogram is a component of more sophisticated methods (see spectral estimation). It is the most common tool for examining the amplitude vs frequency...
11 KB (1,247 words) - 14:16, 26 August 2024
Skew normal distribution (section Estimation)
( x ) {\displaystyle \phi (x)} denote the standard normal probability density function ϕ ( x ) = 1 2 π e − x 2 2 {\displaystyle \phi (x)={\frac {1}{\sqrt...
11 KB (1,365 words) - 16:27, 19 July 2024