Browsing Year-2016 by Title

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • Sharma, Shreyata; Srivastava, Anand (Advisor); Darak, Sumit Jagdish (Advisor) (2016-09-13)
    Recent upsurge in data intensive applications over wireless communication networks is stimulating rapid expansion of such networks and thus presenting new research challenges pertaining to their efficient deployment. In ...
  • Goyal, Sangeeta; Ram, Shobha Sundar (Advisor); Bohara, Vivek Ashok (Advisor) (2016-09)
    Radar systems for detecting the humans present behind the wall are powerful tools for law enforcement, military and elderly care. Walls are complex propagation mediums that introduce attenuation, refraction and multipath ...

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