Search
Now showing items 41-50 of 62
Spectrum sensing for cognitive radio
(Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
Due to the rapid growth of new wireless communication services and applications, need for radio frequency (RF) spectrum is continuously increasing. Most of the available RF spectrum is already been licensed to the existing ...
Graph theoretic investigations of control in biological networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Biological systems exhibit complex phenomena owing to interconnected molecular mechanisms underlying their architecture. Graph is an ideal mathematical abstraction of such systems. The abstract network along with the ...
Facial expression recognition: feature based approaches to deep learning techniques
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
Facial expression recognition (FER) is a problem of pattern recognition that invites the attention of computer vision researchers for the last three decades. However, the problem is still alive due to challenges such as - ...
Voice conversion: alignment and mapping perspective
(Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
Understanding how a particular speaker is producing speech, and mimicking one's voice is a difficult research problem due to the sophisticated mechanism involved in speech production. Voice Conversion (VC) is a technique ...
Investigating into a light-weight reconfigurable VLSI architecture for biomedical signal processing applications
(Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
The Body Sensor Network systems consist of signal acquisition and processing blocks along with Power Management Unit and radio transmission capabilities. The high power consumption of the radio transmission is often ...
Compressive sampling architecture for wideband communication
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
This dissertation proposes a novel Compressive Sampling (CS) scheme for Sub-Nyquist Spectrum Sensing (SNSS) of spectrally sparse wideband signals. A novelty of our proposed SNSS scheme resides in the analog front-end. We ...
On heterogeneous distributed storage systems: bounds and code constructions
(Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
In Distributed Storage Systems (DSSs), usually, data is stored using encoded packets on different chunk servers. In this thesis, we have considered heterogeneous DSSs in which each node may store a different number of ...
3D shape deformations : a lie group based approach
(Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
3D shapes are ubiquitous in many fundamental tasks of computer graphics and geometry processing. For many applications, new shapes have to be generated from the existing ones, for which it it imperative to understand and ...
Design of spoof speech detection system : teager energy-based approach
(Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
Automatic Speaker Verification (ASV) systems are vulnerable to various spoofing attacks, namely, Speech Synthesis (SS), Voice Conversion (VC), Replay, and Impersonation. The study of spoofing countermeasures has become ...
Spatial and spectral regularization in unmixing of remotely sensed data
(Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
The hyperspectral imaging opens the broad possibilities for remote sensing data analysis with it’s rich spectral information. However, this has a trade-off with limited spatial details due to the presence of several hardware ...