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Weibull and Nakagami speech priors based regularized NMF with adaptive wiener filter for speech enhancement
In this paper, a novel Weibull and Nakagami priors based regularized non-negative matrix factorization (NMF) with adaptive wiener filter approach for...
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Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment
Electrocardiogram signal enrichment has become a searing topic in recent research. This paper deals with designing an optimal Wiener spline adaptive...
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A High Consistency Wireless Key Generation Scheme for Vehicular Communication Based on Wiener Filter Extrapolation
Secret key generation from wireless channel is an emerging technology for communication network security, which exploits the reciprocity and time...
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Single-channel speech enhancement using implicit Wiener filter for high-quality speech communication
Speech enables easy human-to-human communication as well as human-to-machine interaction. However, the quality of speech degrades due to background...
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Image De-Blurring and De-Noising by Using a Wiener Filter for Different Types of Noise
There are many factors that lead to photographic image deterioration such as motion blur and geometric distortion. Image blurs results from the...
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Wiener Filters and Adaptive Filters
Wiener was the first to develop a means of statistical filter design. Previous methods were deterministic. Wiener filters were optimal in the least...
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Robust Wiener filtering
Problem definition. Wiener filtering consists of the linear processing of the additive mixture of casual stationary signal and interference. The...
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A Study on ECG Denoising Using Wiener Filter
The electrocardiogram (ECG) is an essential signal in the medical field, with the help of which doctors manage to identify the electrical functions...
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Wiener Path Integral Formalism
This chapter introduces the path integral as a mathematical tool with the potential to address some of the current challenges in stochastic...
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Enhancement of single channel speech quality and intelligibility in multiple noise conditions using wiener filter and deep CNN
Nowadays, deep neural network has become the prime approach for enhancing speech signals as it yields good results compared to the traditional...
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Identification of Wiener–Hammerstein nonlinear systems with backlash operators
In this paper, a new identification method is developed for Wiener–Hammerstein systems that contain memory nonlinearity of backlash type. The latter...
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White Noise Suppression Based on Wiener Filtering Using Neural Network Technologies in the Domain of the Discrete Wavelet Transform
Abstract —Computer vision algorithms are widely used in solving a number of applied problems. The correct operation of such algorithms depends on the...
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Joint parameter and time-delay estimation for a class of Wiener models based on a new orthogonal least squares algorithm
This paper focuses on the identification of piecewise-linear Wiener systems alone with multiple inputs, unknown time-delays and system orders in...
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IIR Wiener Filtering, Smoothing and Prediction
Although by the 1970s the FIR form of the Wiener filter was already known, much work was then carried out in finding the solution to the more general...
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The Optimal Joint Time-Vertex Graph Filter Design: From Ordinary Graph Fourier Domains to Fractional Graph Fourier Domains
In this paper, we investigate the optimal joint time-vertex graph filter design, which aims to denoise time-varying graph signals. We first propose...
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Identification of nonlinear process described by neural fuzzy Hammerstein-Wiener model using multi-signal processing
In this study, a novel approach for nonlinear process identification via neural fuzzy-based Hammerstein-Wiener model with process disturbance by...
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Cutting tool wear prediction based on the multi-stage Wiener process
Cutting tools are one type of critical component of modern computer numerical control (CNC) machining systems. They wear out continuously during the...
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Spline Adaptive Filter
In this chapter, we introduce a nonlinear spline filter. It consists of a linear combiner followed by a flexible memory-less function and is...
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FIR Wiener Filters and Random Signals
When signals are no longer deterministic, a method is needed for finding the best (optimum in the sense of least-squares) filter to filter a random...
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Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification
The problem of nonparametric estimation of nonlinear characteristics in the Wiener system is considered. In this task, the traditional kernel...