• USRP based through wall radar 

  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 ...
• Asynchronous 1R-1W dual-port SRAM by using single-port SRAM 

  Bharath, K; Fell, Alexander (Advisor) (2016-12)

  With the advancement in technology nodes, the number of components operating in different clock domains on System on Chip (SoC) increases. To support the processing of data between these components, the demand of an ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...
• Automated, inter-macro channel space adjustment and optimization for faster design closure 

  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 ...
• Blind parameters estimation by exploiting cyclostationary features in wavelet domain 

  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, ...
• 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 ...
• 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 ...
• 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 ...
• Transfer reinforcement learning framework for energy saving in next generation wireless networks 

  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 ...
• 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 ...
• Analysis dictionary learning for classification 

  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 ...
• 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 ...
• 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 ...
• 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. ...
• 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. ...

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