APPLICATION OF WEIGHTING WINDOWS FOR 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).

Periodic Splines for Spectral Density Estimation: The Use of Cross Validation for Determining the Degree of Smoothing

Communications in Statistics - Simulation and Computation ◽

10.1080/03610917508548343 ◽

1975 ◽

Vol 4 (2) ◽

pp. 125-141

Author(s):

G. Wahba ◽

S. Wold

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Cross Validation ◽

Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data

Technometrics ◽

10.1080/00401706.2021.1884134 ◽

2021 ◽

pp. 1-22

Author(s):

Martin Lysy ◽

Feiyu Zhu ◽

Bryan Yates ◽

Aleksander Labuda

Keyword(s):

Spectral Density ◽

Density Estimation ◽

High Throughput ◽

High Throughput Data

Spectral density estimation with amplitude modulation and outlier detection

Annals of the Institute of Statistical Mathematics ◽

10.1007/bf02506479 ◽

2004 ◽

Vol 56 (4) ◽

pp. 611-630 ◽

Cited By ~ 9

Author(s):

Jiancheng Jiang ◽

Y. V. Hui

Keyword(s):

Spectral Density ◽

Outlier Detection ◽

Density Estimation ◽

Amplitude Modulation ◽

Input image spectral density estimation for real-time adaption of correlation filters for optical pattern recognition

10.1117/12.262628 ◽

1996 ◽

Author(s):

Anders Grunnet-Jepsen ◽

Sylvie G. Tonda ◽

Vincent Laude

Keyword(s):

Pattern Recognition ◽

Spectral Density ◽

Real Time ◽

Density Estimation ◽

Input Image ◽

Correlation Filters ◽

Optical Pattern Recognition ◽

Optical Pattern

2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) ◽

Multi-Channel late reverberation power spectral density estimation based on nuclear norm minimization

10.1109/waspaa.2017.8170003 ◽

2017 ◽

Cited By ~ 1

Author(s):

Ina Kodrasi ◽

Simon Doclo

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Nuclear Norm ◽

Nuclear Norm Minimization ◽

Norm Minimization ◽

Power Spectral ◽

Power Spectral Density Estimation

A reconstruction method for graph signals based on the power spectral density estimation

Digital Signal Processing ◽

10.1016/j.dsp.2021.103347 ◽

2022 ◽

Vol 122 ◽

pp. 103347

Author(s):

Zhihua Yang ◽

Guangrui Yang ◽

Lihua Yang ◽

Qian Zhang

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Reconstruction Method ◽

Power Spectral ◽

Power Spectral Density Estimation

Spectral density estimation for linear processes with dependent innovations

Statistics & Probability Letters ◽

10.1016/j.spl.2008.01.019 ◽

2008 ◽

Vol 78 (12) ◽

pp. 1601-1611 ◽

Cited By ~ 1

Author(s):

Nadia Bensaïd ◽

Ouafae Yazourh-Benrabah

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Linear Processes ◽

[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis ◽

Wavelets as a regularization technique for spectral density estimation

10.1109/tftsa.1992.274231 ◽

2003 ◽

Cited By ~ 2

Author(s):

P. Moulin

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Regularization Technique ◽

Closed form frequency domain expressions for best achievable accuracy of spectral density estimation

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1326300 ◽

2004 ◽

Author(s):

B. Ninness

Keyword(s):

Spectral Density ◽

Closed Form ◽

Frequency Domain ◽

Density Estimation ◽

Achievable Accuracy

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) ◽

Power Spectral Density Estimation Using Statistical Smoothing of the Linear Difference Model Parameters of the Random Time Series

10.1109/fareastcon.2019.8934923 ◽

2019 ◽

Author(s):

V.N. Yakimov ◽

A.V. Mashkov ◽

P.K. Lange ◽

E.E. Yaroslavkina

Keyword(s):

Time Series ◽

Spectral Density ◽

Density Estimation ◽

Power Spectral Density ◽

Random Time ◽

Model Parameters ◽

Difference Model ◽

Power Spectral ◽

Power Spectral Density Estimation