IIIT-Delhi Institutional Repository

Browsing Electronics and Communication Engineering by Title

Browsing Electronics and Communication Engineering by Title

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  • Continuous time linear equalization based gigabit receiver for parallel interface 
    K, Tejaswini; Bahubalindruni, Pydi Ganga Mamba (Advisor); Mathur, Shiv Harit (Advisor) (IIIT-Delhi, 2018-05)
    Modern processors are capable of working at a very high frequency with the advent of technology scaling. However, memory limits the overall speed of operation. In order to take complete advantage of these modern ...
  • Cooperative control strategies for autonomous agents using nonlinear model predictive control 
    M, Amith; Sujit, PB (Advisor) (IIIT-Delhi, 2023-04-17)
    Autonomous aerial vehicles (AAVs) are extensively used in civilian and military applications like aerial surveying, search and rescue, transportation, border patrolling, etc. In most applications, achieving the objectives ...
  • Cooperative device to device communication in a heterogeneous cellular network 
    Shrivastava, Parth; Bohara, Vivek Ashok (Advisor) (2016-11-17)
    This report analyzes the performance of a Cooperative Device to Device Communication in a Heterogeneous Cellular Network. In the proposed work, a heterogeneous network is considered where the base station of the macro cell ...
  • 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 ...
  • Core-influencer gut microbiome identification 
    Malik, Nirmit; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-07-26)
    The human gut microbiome exhibits remarkable diversity among individuals, yet numerous studies have identified the presence of several bacteria consistently observed across different geographical locations. This research ...
  • Counterfactual inference framework for joint estimation of medical costs, treatment effect and time-to-event 
    Khan, Zuber; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    Optimal treatment selection is extremely crucial in emergency situations such as for a patient admitted in ICU. However, the chosen medical treatment may not necessarily be a financially favorable choice. In some of the ...
  • Creating user-based interactive experiences facilitated with mediated reality 
    Goel, Manvi; Mehra, Nirmita; Parnami, Aman (Advisor) (IIITD-Delhi, 2019-04-15)
    Mediated Reality refers to the ability to add and subtract information from the environment or manipulate one's perception of reality using smart-wearable devices, hand-held devices or computers. Mediated Reality can be ...
  • Cuisine fusion 
    Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • Current feedback based voltage regulator for non-volatile memories 
    Singh Nirwan, Bhawana; Hashmi, Mohammad S. (Advisor) (2015-12-07)
    Non-volatile memories have continued to retrieve their stronghold presence in the electronic industry wherever memory intensive applications are required. The present technologies like Flash have dominated the industry ...
  • Data modeling of financial crises 
    Eshita; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2020-12)
    The COVID-19 crisis has made it clear that even for developed economies, like the USA, severe nancial disruptions can drag down the whole economy. It is considered the worst nancial crisis since the Great Depression. As ...
  • Decentralized federated learning in wireless networks 
    Sohini, Ayush Madhan; Dominic, Divin; Prasad, Ranjitha (Advisor) (IIIT- Delhi, 2022-12)
    Current wireless applications such as autonomous driving, UAVs, IOT devices, etc. generate massive amounts of data that can be utilized to train machine learning models for decision making. Privacy, security and bandwidth ...
  • Decentralized federated learning in wireless networks 
    Kumari, Pooja; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    In today’s world, Machine learning and deep learning has changed the vision in CS/IT fields. It is continuously exciting us in different ways, giving us amazing results and solving many problems in different fields. With ...
  • 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 ...
  • Deep dictionary learning 
    Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)
    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 ...
  • Deep learning assisted methods for microscopic blood Cancer imaging analysis 
    Gehlot, Shiv; Gupta, Anubha (Advisor) (IIIT-Delhi, 2022-04-08)
    This thesis, “Deep Learning Assisted Methods for Microscopic Blood Cancer Imaging Analysis” aims to develop deep learning-based CAD tools for Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM). A CAD tool typically ...
  • Deep learning for attribute prediction and small sample size problems 
    Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)
    The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...
  • Demonstration of federated averaging using zigbee and SDR 
    Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
  • Design & optimizing distributed learning gradients using control theory 
    Mehrotra, Sparsh; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-12)
    We use different optimizers in everyday Machine Learning and Deep Learning applications. The task for any machine learning algorithm is to 𝑚𝑖𝑛 𝑓 (𝑥), where 𝑓 is the objective function and 𝑥 is the input parameter. ...
  • Design & performance analysis of wireless radar receiver for joint radar communication systems on RFSoC 
    Jha, Shragvi Sidharth; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-05)
    Autonomous vehicles are becoming prevalent day-by-day, and with the advent of such technology comes its various safety risks and challenges. The primary objective is to improve road safety and mobility for all users. The ...
  • 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 ...

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