On the public citation graph

Forward-backward filtering and penalized least-Squares optimization: A Unified framework

https://doi.org/10.1016/j.sigpro.2020.107796
0 signed · 80 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471667196.ess0646openalex-snapshot
Functional Data Analysis
inferredcites →https://doi.org/10.1002/0471667196.ess3138openalex-snapshot
Functional Data Analysis
inferredcites →https://doi.org/10.1007/0-387-28154-1_8openalex-snapshot
Discrete-Time Control Systems
inferredcites →https://doi.org/10.1007/b100752openalex-snapshot
Design and Analysis of Analog Filters: A Signal Processing Perspective
inferredcites →https://doi.org/10.1016/0005-1098(94)90211-9openalex-snapshot
Identification of linear dynamic systems using piecewise constant excitations: Use, misuse and alternatives
inferredcites →https://doi.org/10.1016/0005-1098(96)89430-1openalex-snapshot
Control of uncertain systems: A linear programming approach
inferredcites →https://doi.org/10.1016/0009-2509(88)85088-7openalex-snapshot
Discrete-time control systems
inferredcites →https://doi.org/10.1016/0016-0032(50)90526-6openalex-snapshot
The extrapolation, interpolation and smoothing of stationary time series with engineering applications
inferredcites →https://doi.org/10.1016/0045-7949(84)90083-xopenalex-snapshot
Harmonic acceleration method for dynamic structural analysis
inferredcites →https://doi.org/10.1016/0167-2789(92)90242-fopenalex-snapshot
Nonlinear total variation based noise removal algorithms
inferredcites →https://doi.org/10.1016/j.jneumeth.2014.08.002openalex-snapshot
Digital filter design for electrophysiological data – a practical approach
inferredcites →https://doi.org/10.1016/j.sigpro.2013.11.033openalex-snapshot
Baseline wander removal for bioelectrical signals by quadratic variation reduction
inferredcites →https://doi.org/10.1016/j.sigpro.2016.10.019openalex-snapshot
Online filtering using piecewise smoothness priors: Application to normal and abnormal electrocardiogram denoising
inferredcites →https://doi.org/10.1016/j.sigpro.2019.107381openalex-snapshot
Improved smoothness priors using bilinear transform
inferredcites →https://doi.org/10.1017/cbo9780511753886openalex-snapshot
Optimization Methods in Finance
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1017/s001309150000359xopenalex-snapshot
Presentations of faithful d.g. near-rings
inferredcites →https://doi.org/10.1017/s0013091500077853openalex-snapshot
On a New Method of Graduation
inferredcites →https://doi.org/10.1080/01621459.1984.10478060openalex-snapshot
A Smoothness Priors–State Space Modeling of Time Series with Trend and Seasonality
inferredcites →https://doi.org/10.1109/34.75514openalex-snapshot
Recursive regularization filters: design, properties, and applications
inferredcites →https://doi.org/10.1109/5289.823821openalex-snapshot
The bilinear transformation
inferredcites →https://doi.org/10.1109/78.492552openalex-snapshot
Determining the initial states in forward-backward filtering
inferredcites →https://doi.org/10.1109/access.2015.2430359openalex-snapshot
A Survey of Sparse Representation: Algorithms and Applications
inferredcites →https://doi.org/10.1109/jproc.2010.2044470openalex-snapshot
Sparse Representation for Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/lsp.2013.2278339openalex-snapshot
A Direct Algorithm for 1-D Total Variation Denoising
inferredcites →https://doi.org/10.1109/tip.2012.2183143openalex-snapshot
Higher Degree Total Variation (HDTV) Regularization for Image Recovery
inferredcites →https://doi.org/10.1109/tip.2014.2315156openalex-snapshot
Generalized Higher Degree Total Variation (HDTV) Regularization
inferredcites →https://doi.org/10.1109/tip.2015.2417505openalex-snapshot
Blind Inpainting Using $\ell _{0}$ and Total Variation Regularization
inferredcites →https://doi.org/10.1109/tip.2018.2872630openalex-snapshot
Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion
inferredcites →https://doi.org/10.1109/tit.2015.2501362openalex-snapshot
$\ell _{p}$ -Regularized Least Squares $(0 and Critical Path
inferredcites →https://doi.org/10.1109/tpami.2015.2477819openalex-snapshot
A Clearer Picture of Total Variation Blind Deconvolution
inferredcites →https://doi.org/10.1109/tpami.2015.2487966openalex-snapshot
Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis
inferredcites →https://doi.org/10.1109/tsp.2005.847821openalex-snapshot
Generalized smoothing splines and the optimal discretization of the Wiener filter
inferredcites →https://doi.org/10.1109/tsp.2019.2928986openalex-snapshot
A New Approach to ARMAX Signals Smoothing: Application to Variable-Q ARMA Filter Design
inferredcites →https://doi.org/10.1137/080725891openalex-snapshot
The Split Bregman Method for L1-Regularized Problems
inferredcites →https://doi.org/10.1137/0914086openalex-snapshot
The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems
inferredcites →https://doi.org/10.1137/1034115openalex-snapshot
Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
inferredcites →https://doi.org/10.1137/16m1075247openalex-snapshot
Discrete Total Variation: New Definition and Minimization
inferredcites →https://doi.org/10.1137/s1064827598344169openalex-snapshot
High-Order Total Variation-Based Image Restoration
inferredcites →https://doi.org/10.1161/01.cir.101.23.e215openalex-snapshot
PhysioBank, PhysioToolkit, and PhysioNet
inferredcites →https://doi.org/10.1214/14-aos1238openalex-snapshot
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
inferredcites →https://doi.org/10.2307/1914096openalex-snapshot
A Distributed Lag Estimator Derived from Smoothness Priors
inferredcites →https://doi.org/10.2307/2280758openalex-snapshot
The Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications.
inferredcites →https://doi.org/10.2307/2288279openalex-snapshot
A Smoothness Priors-State Space Modeling of Time Series with Trend and Seasonality

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4674250openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-97-9578-9_9openalex-snapshot
Exploring Deep Learning Models for Classifying Wind Profiler Doppler Power Spectrum Contaminated by Ground Clutter
inferred← citeshttps://doi.org/10.1007/s10444-026-10337-0openalex-snapshot
A Kalman filter-based variational method for ECG tensor denoising
inferred← citeshttps://doi.org/10.1007/s11760-021-02080-4openalex-snapshot
Effective removal of eye-blink artifacts in EEG signals with semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107532openalex-snapshot
A generic optimization-based enhancement method for trajectory data: Two plus one
inferred← citeshttps://doi.org/10.1016/j.bspc.2023.104952openalex-snapshot
Smoothing filter design: A general framework
inferred← citeshttps://doi.org/10.1016/j.est.2026.121155openalex-snapshot
A two-layer coordinated control strategy of dual battery energy storages for smoothing wind power fluctuations based on forward and reverse filter parallelism and two dimension gaussian function
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.113167openalex-snapshot
MMA: A novel algorithm for efficient separation of the precipitation echoes from wind profiler radar's Doppler power spectrum
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115343openalex-snapshot
Grain size characterization of 5A06 aluminum alloy plates with different deformation amounts based on laser ultrasonic
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132819openalex-snapshot
A robust algorithm for target tracking in presence of impulsive noise
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.127775openalex-snapshot
A physics-informed transformer framework for multi-step 6-DOF motion prediction of distressed vessels
inferred← citeshttps://doi.org/10.1016/j.rsase.2025.101611openalex-snapshot
Self-mirrored reference approach for suppressing ground clutter in the Doppler power spectrum of wind profiler radar
inferred← citeshttps://doi.org/10.1016/j.sigpro.2023.108958openalex-snapshot
Kalman filter/smoother-based design and implementation of digital IIR filters
inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109492openalex-snapshot
Digital IIR filters: Effective in edge preservation?
inferred← citeshttps://doi.org/10.1049/cth2.12700openalex-snapshot
ℓ1${\ell }_1$ norm‐based recursive estimation for non‐linear systems with non‐Gaussian noises
inferred← citeshttps://doi.org/10.1063/5.0347132openalex-snapshot
Experimental investigation on unsteady dynamic characteristics of shear-thinning power-law droplets
inferred← citeshttps://doi.org/10.1109/iceeps70377.2026.11662555openalex-snapshot
Probabilistic Fragility Analysis of a Hierarchical SOFC Vibration Protection System for Offshore Platform Applications
inferred← citeshttps://doi.org/10.1109/icicgr68236.2026.11600396openalex-snapshot
Analysis of Lowpass IIR Filter Design and Deployment using Optisystem
inferred← citeshttps://doi.org/10.1109/icsp56322.2022.9965300openalex-snapshot
A Novel Variational Digital Filtering Method
inferred← citeshttps://doi.org/10.1109/jsen.2025.3612952openalex-snapshot
A Novel Vibration Monitoring Method for Marine Turbocharger Turbine Blades Based on Pressure Pulsation Measurements
inferred← citeshttps://doi.org/10.1109/lsp.2025.3547884openalex-snapshot
Bandpass Filters: A Penalized Least-Squares Optimization With $\boldsymbol \ell _{1}$-Norm Regularization Design
inferred← citeshttps://doi.org/10.1109/msp.2020.3029386openalex-snapshot
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]
inferred← citeshttps://doi.org/10.1109/msp.2021.3102900openalex-snapshot
ℓ 2 and ℓ 1 Trend Filtering: A Kalman Filter Approach [Lecture Notes]
inferred← citeshttps://doi.org/10.1109/msp.2021.3104822openalex-snapshot
Artificial Intelligence, Machine Learning, and Signal Processing: Researchers are using artificial intelligence, machine learning, and signal processing to build powerful three-level platforms to help meet project goals [Special Reports]
inferred← citeshttps://doi.org/10.1109/msp.2021.3134635openalex-snapshot
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3362067openalex-snapshot
Numerical Differentiation From Noisy Signals: A Kernel Regularization Method to Improve Transient-State Features for the Electronic Nose
inferred← citeshttps://doi.org/10.1109/tsp.2021.3060619openalex-snapshot
Band-Stop Smoothing Filter Design
inferred← citeshttps://doi.org/10.1109/tsp.2022.3203852openalex-snapshot
A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising
inferred← citeshttps://doi.org/10.22489/cinc.2022.157openalex-snapshot
A New DDE Smoothing Filter for ECG Signal Denoising
inferred← citeshttps://doi.org/10.22489/cinc.2022.158openalex-snapshot
An Extension of Quadratic variation regularization for simultaneous baselinewander and powerline interference removal from ECG
inferred← citeshttps://doi.org/10.36227/techrxiv.16458963openalex-snapshot
L2 and L1Trend Filtering: A Kalman Filter Approach amodification
inferred← citeshttps://doi.org/10.36227/techrxiv.16458963.v1openalex-snapshot
L2 and L1Trend Filtering: A Kalman Filter Approach a
inferred← citeshttps://doi.org/10.36227/techrxiv.16458963.v2openalex-snapshot
L2 and L1Trend Filtering: A Kalman Filter Approach amodification
inferred← citeshttps://doi.org/10.36227/techrxiv.16458963.v3openalex-snapshot
L2 and L1Trend Filtering: A Kalman Filter Approach amodification
inferred← citeshttps://doi.org/10.36227/techrxiv.19886461openalex-snapshot
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective a
inferred← citeshttps://doi.org/10.36227/techrxiv.19886461.v1openalex-snapshot
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective a
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.