In this paper, we consider a method to solve the device-free localization (DFL) problem that
is able to detect spatial obstruction via wireless network. A dictionary learning approach with …

Extracting key frames from a video can reduce redundancies in continuous scenes and pithy
represent the entire video. This technique copes with the issue of how to efficiently manage …

Grid computing applications are challenged by current wide-area networks: firewalls, private
IP addresses and network address translation (MAT) hamper connectivity, the TCP protocol …

Denoising models play an important role in various applications, such as signal denoising.
Recently, the analysis K-singular-value decomposition (SVD)(AK-SVD) algorithm has …

Chinese speech synthesis refers to the technology that machines transform human speech
signals into corresponding texts or commands through recognition and understanding. This …

Video is human's favorite multimedia data type due to its abundant amount of information
and intuitive experience compared with text, audio, and image. With rapid progress of …

Analysis sparse representation has recently emerged as an alternative approach to the
synthesis sparse model. Most existing algorithms typically employ the l 0‐norm, which is …

Nonnegative sparse representation has become highly popular in certain applications in the
context of signals and corresponding dictionaries that have nonnegative limitations …

Sparse representation has been proven to be a powerful tool for signals and images
processing. This paper addresses sparse representation with the so-called analysis model …

This work addresses the problem of solving a linear inverse problem. Conventional
inversion techniques are model based (transductive). The advent of deep learning led the …