Future generation cellular networks are expected to provide ubiquitous broadband access to
a continuously growing number of mobile users. In this context, LTE systems represent an …

This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as
originated by LE Baum and T. Petrie (1966) and gives practical details on methods of …

When one captures images in low-light conditions, the images often suffer from low visibility.
Besides degrading the visual aesthetics of images, this poor quality may also significantly …

The increasing integration of the Internet of Everything into the industrial value chain has
built the foundation for the next industrial revolution called Industrie 4.0. Although Industrie …

Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been
shown to significantly improve speech recognition performance over the conventional …

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …

We present a novel method for removing rain streaks from a single input image by
decomposing it into a rain-free background layer B and a rain-streak layer R. A joint …

We present the bilateral solver, a novel algorithm for edge-aware smoothing that combines
the flexibility and speed of simple filtering approaches with the accuracy of domain-specific …

It is ubiquitous that meaningful structures are formed by or appear over textured surfaces.
Extracting them under the complication of texture patterns, which could be regular, near …

In this paper, we propose a novel explicit image filter called guided filter. Derived from a
local linear model, the guided filter computes the filtering output by considering the content …