The role of potential-well depth and width on stochastic resonance (SR) driven by colored noise with different noise correlation times is explored and evaluated by deriving the analytic …
Using a gradient-based algorithm, we investigate signal estimation and filtering in a large- scale summing network of single-bit quantizers. Besides adjusting weights, the proposed …
D Simon, A Aberdam - … of the IEEE/CVF Conference on …, 2020 - openaccess.thecvf.com
Image interpolation, or image morphing, refers to a visual transition between two (or more) input images. For such a transition to look visually appealing, its desirable properties are (i) …
Threshold neural networks are highly useful in engineering applications due to their ease of hardware implementation and low computational complexity. However, such threshold …
Consider the problem of simultaneous estimation and support recovery of the coefficient vector in a linear data model with additive Gaussian noise. We study the problem of …
Consider the problem of simultaneous estimation and support recovery of the coefficient vector in a linear data model with additive Gaussian noise. We study the problem of …
Y Zhang, X Wang, F Wang… - Proceedings of the Asian …, 2022 - openaccess.thecvf.com
Convolutional sparse coding model has been successfully used in some tasks such as signal or image processing and classification. The recently proposed supervised …
The distributed Bayesian vector parameter estimation problem based on low-resolution observations is investigated in a network, where each node represents an ensemble of …
We study the problem of exact support recovery: given an (unknown) vector θ*∈{− 1, 0, 1} D with known sparsity k=∥ θ*∥ 0, we are given access to the noisy measurement y= X θ*+ ω …