IIIT-Delhi Institutional Repository

Department of Electronics and Communication Engineering

Department of Electronics and Communication Engineering

 

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Recent Submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • Kumar, K K Praveen; Fell, Alexander (Advisor) (2016-10-05)
    Achieving optimal floor-plans during the physical synthesis flow is an iterative and resource intensive process and its quality has a significant impact on subsequent synthesis stages in terms of runtime and quality of ...
  • Kumar, Sushant; Bohara, Vivek Ashok (Advisor) (2016-09-23)
    In dynamic environment, multi-standard wireless communication receivers capable of estimating the various parameters of any unknown modulated signal are desired. These parameters include symbol rate, modulation type, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Bhattacharjee, Protim; Majumdar, Angshul (Advisor) (2016-09-13)
    Data classification is the core of leading technologies today. With the explosion of data through mobility and growth of the Internet, analysis and classification of data is the immediate process after acquisition. Most ...
  • 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 ...
  • 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. ...
  • 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. ...
  • Joshi, Himani; Darak, Sumit Jagdish (Advisor) (2016-09-13)
    Electromagnetic spectrum is a limited natural resource and needs to be used efficiently. However, various measurements conducted worldwide have observed poor spectrum utilization. Software defined radios (SDRs) and cognitive ...
  • 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 ...
  • 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 ...
  • Shashwat; Hashmi, Mohammad S. (Advisor) (2016-09-12)
    To serve large geographical area, there is need to drive antenna with high power. It necessitates the requirement of high power amplifier (PA) for delivering large RF output power. Alongside power added efficiency (PAE) ...
  • 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, ...

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