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Materias / palabras clave: noise mapping, noise action plans, outdoor soundscape studies, quiet areas, noise policies, noise exposure; Technology: Environmental technology. Sanitary engineering

Materias / palabras clave: noise pollution, noise reduction systems, hearing and health; Medicine: Otorhinolaryngology; Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene

The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step forward by investigating the construc...

A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach consists of sifting an ensemble of white noise-added signal (data) and treats the mean as the final true result. Finite, not infinitesima...

Materias / palabras clave: Mathematics; Algorithm; Noise (video); Constraint (computer-aided design); Image (mathematics); Curvature; Projection (relational algebra); Manifold (fluid mechanics); Partial differential equation; Nonlinear system; Set...

Materias / palabras clave: infrasound, low frequency noise, vibration, infrasound perception, infrasound propagation, noise control; Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General); Scie...

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data...

Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection the...

During the late 1990s, Huang introduced the algorithm called Empirical Mode Decomposition, which is widely used today to recursively decompose a signal into different modes of unknown but separate spectral bands. EMD is ...