Browsing Year-2016 by Title

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  • Class-wise deep dictionary learning 
    Khurana, Prerna; Majumdar, Angshul (Advisor) (2016-09-13)
    In this work we propose a classification framework called class-wise deep dictionary learning (CWDDL). For each class, multiple levels of dictionaries are learnt using features from the previous level as inputs (for first ...
  • Cognitive spectrum sharing protocols for energy harvesting wireless sensor nodes 
    Peer, Mansi; Bohara, Vivek Ashok (Advisor) (2016-12-06)
    Energy consumption is one of the primary concerns in the deployment of futuristic wireless sensor networks. On one hand due to advent of technologies such as Internet of Things (IoT), there has been tremendous growth in ...
  • Compressed sensing based underwater acoustic channel estimation using two dimensional frequency characterization 
    Ansari, Naushad; Gupta, Anubha (Advisor) (IIIT-Delhi, 2016)
    Underwater acoustic (UWA) channel estimation in shallow water depths is a challenging problem due to rapidly fluctuating transients in the acoustic channel impulse response. Transmitted signal undergoes nonstationary ...
  • Cooperative spectrum sharing with two-way relaying 
    Mittal, Saloni; Bohara, Vivek Ashok (Advisor) (2016-09-13)
    Modern wireless communication seeks more capacity and higher data rates as the cellular technology evolves from one generation to next generation standards (for instance 3G to 4G, and from 4G to presumably 5G). As a ...
  • Deep dictionary learning 
    Tariyal, Snigdha; Majumdar, Angshul (Advisor) (2016-09-13)
    This Thesis focuses on combining the two well researched concepts of representation learning – Dictionary Learning and Deep Learning. These two learning paradigms have been known for long. Ever since, plethora of papers ...
  • Design and analysis of sense amplifier topologies for volatile and non-volatile memories 
    Arora, Disha; Hashmi, Mohammad S. (Advisor) (2016-09-12)
    The growing gap between the processor and embedded memory speed is a major setback in the overall performance of electronic systems. Since the sense amplifier (SA) forms an integral part of the read circuitry in both ...
  • Design of high gain and low noise figure on-chip LNA for Ku band application 
    Sharma, Vijay; Hashmi, Mohammad S. (Advisor) (2016-10-05)
    Low Noise Amplifiers (LNA) are key components in the receiving end of nearly every communication system. Primary purpose of the LNA is to amplify the received signal while at the same time adding as little additional noise ...
  • Discriminative framework for single channel audio source separation 
    Gang, Arpita; Biyani, Pravesh (Advisor) (2016-09-13)
    Sound sources are a very common everyday occurrence. But a single audio source is seldom heard alone. There is a sea of applications, like speech recognition, where an isolated sound source is desirable. This makes audio ...
  • An effective and efficient methodology for SoC power management through UPF 
    Anusha, Renduchinthala; Deb, Sujay (Advisor) (2016-09-12)
    With technology scaling and increase of chip complexity, power consumption of chip has been rising and its power architecture is getting complicated. Many power management techniques like power gating, multi-voltage, ...
  • An efficient timing and clock tree aware placement flow with multibit flip-flops for power reduction 
    Gulati, Jasmine Kaur; Darak, Sumit Jagdish (Advisor) (2016-09-13)
    Power consumption has become a bottleneck for modern system-on-chip (SoC) designs. With the advancement towards the deep sub-micron technology, the SoC design consists of components that prompt to a higher power density. ...
  • Evaluation framework for technology agnostic hybrid NoC architecture 
    Kishore, Raghav; Deb, Sujay (Advisor) (2016-09-12)
    Performance of emerging multicore systems is significantly influenced by the efficiency of the communication fabric that glues the entire system together. Large number of cores results in excessive energy consumption while ...
  • Exploration of test methodologies to detect weak bits in SRAMs 
    Batra, Nidhi; Hashmi, Mohammad S. (Advisor) (2016-09-12)
    Embedded memories will continue to dominate the System-on-Chip (SoC) area in subsequent years. SRAMs are designed to exploit the technology limits to achieve highest storage capacity, minimum access times and operating ...
  • Framework for video coding analyzer 
    Jain, Sakshi; Fell, Alexander (Advisor) (2016-09-20)
    A video analyzer is a comprehensive bitstream analysis tool which accelerates development and debugging of video bitstreams while ensuring compliance with industry standards. There are many conventional analyzers present ...
  • High bandwidth planar power divider 
    Maktoomi, Md Ayatullah; Hashmi, Mohammad S. (Advisor) (2016-09-13)
    The power dividers are one of the most ubiquitous passive circuit elements in RF/Microwave applications. They are widely used in antenna arrays, balanced amplifiers, mixers, frequency multipliers etc. as power combiners ...
  • Measurement results for cooperative device-to-device communication in cellular networks 
    Singh, Vibhutesh Kumar; Bohara, Vivek Ashok (Advisor) (2016-09-13)
    Device-to-Device communication is expected to be a part of future 5G networks. Many researchers have provided solid theoretical concepts to implement it, but a real practical solution is still in dearth. In this work, first ...
  • Mitigation of cold boot attack using an encrypted memory controller 
    Walia, Preet Kaur; Hashmi, Mohammad S. (Advisor) (2016-09-12)
    RAMs which are widely used in PCs and laptops are likely to break the popular supposition that data in them is lost whenever power supply is cut down. It has been proved in 2008 by a group of researchers that RAMs are no ...
  • Regularized autoencoders 
    Gupta, Kavya; Majumdar, Angshul (Advisor) (2016-11-09)
    Autoencoders are Neural Networks trained in order to map input to its output. Autoencoders are designed to enable the network to copy input to output as close as possible. Following this, the network will be able to learn ...
  • Resource allocation problems in G.fast and enterprise Wi-Fi networks 
    Raj, Ankita; Biyani, Pravesh (Advisor) (2016-09-13)
    This thesis addresses resource allocation problems in two different domains: G.fast and Wi-Fi. One of the key challenges in G.fast is to minimize power consumption at the distribution points. G.fast standards define ...
  • Robust autoencoders 
    Mehta, Janki; Majumdar, Angshul (Advisor) (2016-09-13)
    An autoencoder is an artificial neural network used for learning efficient codings. The aim of an autoencoder is to learn a representation of data, which can then be used for better classification or any such application. ...
  • A scalable solution for cache coherence in many-core systems using share-pattern aware cache segmentation and hybrid network-on-chip 
    Ganguly, Antara; Deb, Sujay (Advisor) (2016-09-12)
    With the advent of many-core era, scalable hardware support for cache coherence has become vital to system performance. Cache coherence protocols are provided in order to ensure that multiple cached copies of a single ...

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