Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
Wireless communication systems based on multi-antenna multi-carrier modulation techniques such as multi-input-multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) have become the state-of-art method for a ...
Human brain is a large scale complex network of different but functionally coupled brain regions. These functionally coupled brain regions together form functional brain networks (fBNs). Identification of these networks ...
Transform learning (TL) is currently an active research area. It has been explored in several applications including image/video denoising, compressed sensing (CS) of magnetic resonance images (MRI), etc. and is observed ...
Past few decades have seen a phenomenal growth in wireless multimedia and data applications. Recent forecast (via Cisco) suggested that the overall mobile data traffic could reach 24.3 exabytes per month by 2019. As a ...
Mondal, Hemanta Kumar; Deb, Sujay (Advisor)(IIIT-Delhi, 2017-04)
Networks-on-Chip (NoCs) are fast becoming the de-facto communication infrastructures in Chip Multi-Processors (CMPs) for large-scale applications. The traditional approaches of implementing a NoC with planar metal interconnects ...
The enormous growth in online availability of information content has made Recommender Systems (RS) an integral part of most online portals and e-commerce sites. Most websites and service portals, be it movie rental services, ...
Maktoomi, Md Ayatullah; Hashmi, Mohammad S. (Advisor)(2016-10-14)
The proliferation of multi-band and multi-standard wireless systems are well known but very little is known about the challenges associated in the design and development of such systems. For example, the RF front-ends in ...