IIIT-Delhi Institutional Repository

Browsing Electronics and Communication Engineering by Title

Browsing Electronics and Communication Engineering by Title

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  • 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 ...
  • Design and evaluating performance of hardware accelerators for implementation of neural networks 
    Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (2023-12)
    Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...
  • Design and performance analysis of indoor visible light communication system considering human blockages 
    Singh, Anand; Srivastava, Anand (Advisor); Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-01)
    Most of the current wireless networks are radio frequency (RF) based, however, these networks are regularly confronted with growing demand for higher data rates. Watching high-definition live stream videos and accessing ...
  • Design and prototype of 802.11ad based joint radar communication architecture 
    Kumar, Daksh; Govil, Aryan; Darak, Sumit (Advisor) (IIIT-Delhi, 2023-12-12)
    In the millimetre wave and sub-6 GHz band, next-generation wireless communication systems are anticipated to offer high-mobility Vehicle to Everything (V2X) communication services. This necessitates precise user tracking ...
  • Design and prototype of 802.11ad based joint radar communication transceiver on FPGA 
    Reddy, Krishna Neel; Joshi, Kshtiz; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-05)
    Next generation wireless communication systems are expected to support high-mobility Vehicle to everything (V2X) communication services in sub-6 GHz as well as millimeter wave spectrum. This demands accurate tracking of ...
  • Design of a fully on-chip linear regulator 
    Khandelwal, Rimjhim; Hashmi, Mohammad S. (Advisor) (2017-05)
    Power conditioning circuits form an integral part of a memory chip. Various blocks on a memory chip require uninterrupted power supply that are independent of the load conditions. The program, erase and read operations in ...
  • Design of energy e cient future CMPs with on-chip wireless interconnects 
    Sri Harsha, Gade Narayana; Srinivasan, Ashwin (Advisor) (2014-07-17)
    Power density and interconnect delay have emerged as the biggest challenges for Ultra Large Scale Integration (ULSI) and System-on-Chip (SoC) designs particularly beyond 65nm generation. Leakage power has been traditionally ...
  • Design of GaN HEMT broadband power amplifiers 
    Banerjee, Deepayan; Hashmi, Mohammad S. (Advisor) (2017-03)
    Power Amplifiers are undoubtedly one of the most important blocks in any transmitter system. Long range communication requires a massive boost-up of the power to be delivered, before it can be launched in the channel. This ...
  • 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 ...
  • Design of highly efficient single photon detector 
    Sarkar, Debojyoti; Mathur, Devansh; Bhattacharya, Sayak (Advisor) (IIIT-Delhi, 2023-11-29)
    Superconducting nanowire single photon detectors (SNSPD) provide >90% and timing jitter <20% but require cryogenic temperature. SPAD’s are capable of detection at room temperature but due to the trade off between timing ...

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