Cover Image

Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing in Estimating Signal Frequencies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Loneck, Barry, Zurbenko, Igor, Valachovic, Edward
Format:	Preprint
Published:	2020
Subjects:	Applications Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Theoretical and Practical Limits of Signal Strength Estimate Precision for Kolmogorov-Zurbenko Periodograms with Dynamic Smoothing
by: Loneck, Barry, et al.
Published: (2024)

Predicting Coastal Water Levels in the Context of Climate Change Using Kolmogorov-Zurbenko Time Series Analysis Methods
by: Loneck, Barry, et al.
Published: (2024)

A Kolmogorov-Zurbenko Fourier Transform Band-pass Filter Extension for Time Series Analysis
by: Valachovic, Edward
Published: (2025)

Non-Parametric Estimation of Multiple Periodic Components in Turkey's Electricity Consumption
by: Yao, Jie, et al.
Published: (2024)

The Variable Multiple Bandpass Periodic Block Bootstrap for Time Series with Multiple Periodic Correlations
by: Valachovic, Edward
Published: (2025)

An Extension of the Iterated Moving Average
by: Valachovic, Edward
Published: (2025)

Seasonal and periodic patterns of ischemic heart disease in New York using the Variable Multiple Bandpass Periodic Block Bootstrap
by: Chen, Yineng, et al.
Published: (2025)

Seasonal and Periodic Patterns of PM2.5 in Manhattan using the Variable Bandpass Periodic Block Bootstrap
by: Sun, Yanan, et al.
Published: (2024)

A Structure-Preserving Assessment of VBPBB for Time Series Imputation Under Periodic Trends, Noise, and Missingness Mechanisms
by: Ahmad, Asmaa, et al.
Published: (2025)

Seasonal and Periodic Patterns in US COVID-19 Mortality using the Variable Bandpass Periodic Block Bootstrap
by: Valachovic, Edward, et al.
Published: (2024)

Periodicity in New York State COVID-19 Hospitalizations Leveraged from the Variable Bandpass Periodic Block Bootstrap
by: Ahmad, Asmaa, et al.
Published: (2024)

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)

On the Theoretical Limits of Gain and Matching in Single‐Stage High‐Frequency Amplifiers
by: Antonio Serino, et al.
Published: (2026)

Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)

Doubly Smoothed Density Estimation with Application on Miners' Unsafe Act Detection
by: Zeng, Qianhan, et al.
Published: (2025)

The Gradient Descent Adaptive Moment Parameter Estimation for Multi‐Frequency Sine Signal Systems
by: Kai Zhang, et al.
Published: (2025)

Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices
by: Uniejewski, Bartosz
Published: (2023)

Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm
by: de Sousa, Farhad, et al.
Published: (2025)

Learning Smooth Populations of Parameters with Trial Heterogeneity
by: Lee, JungHo, et al.
Published: (2025)

Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface
by: Ma, Tianwen, et al.
Published: (2024)

Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data
by: Davoudabadi, Mohammad Javad, et al.
Published: (2021)

Analysis of Patterns in Recorded Signals of Software Systems With a Variance Based Segmentation Algorithm
by: Lukić, Bojan, et al.
Published: (2025)

A New Perspective to Fish Trajectory Imputation: A Methodology for Spatiotemporal Modeling of Acoustically Tagged Fish Data
by: Ahmadian, Mahshid, et al.
Published: (2024)

Bind Recovery of Sparse Factor Structures by Signal Cancellation
by: Achim, André
Published: (2024)

lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)

Log-linear Model for Dual System Estimation and Computational Considerations
by: Lu, Zhiyuan
Published: (2026)

Practical considerations for specifying a super learner
by: Phillips, Rachael V., et al.
Published: (2022)

Forecastability as an Information-Theoretic Limit on Prediction
by: Catt, Peter Maurice
Published: (2026)

Language Hierarchization Provides the Optimal Solution to Human Working Memory Limits
by: Chen, Luyao, et al.
Published: (2026)

An Approximate Maximum Likelihood Estimator for Discretely Observed Linear Birth-and-Death Processes
by: Long, Xiaochen, et al.
Published: (2025)

The penetrance R package for Estimation of Age Specific Risk in Family-based Studies
by: Kubista, Nicolas, et al.
Published: (2024)

Split-Apply-Combine with Dynamic Grouping
by: van der Loo, Mark P. J.
Published: (2024)

Estimating the concentration parameter of a von Mises distribution: a systematic simulation benchmark
by: Marrelec, Guillaume, et al.
Published: (2021)

Consistency and Central Limit Results for the Maximum Likelihood Estimator in the Admixture Model
by: Heinzel, Carola Sophia
Published: (2025)

Model Validation Practice in Banking: A Structured Approach for Predictive Models
by: Sudjianto, Agus, et al.
Published: (2024)

Estimating the Heritability of Longitudinal Rate-of-Change: Genetic Insights into PSA Velocity in Prostate Cancer-Free Individuals
by: Zhang, Pei, et al.
Published: (2025)

Trust-Aware Multimodal Data Fusion for Yield Estimation: A Case Study of the 2020 Beirut Explosion
by: Patel, Lekha, et al.
Published: (2025)

Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
by: Xu, Yuchen, et al.
Published: (2023)

Estimating Racial Disparities When Race is Not Observed
by: McCartan, Cory, et al.
Published: (2023)