Browsing Electrical Communication Engineering (ECE) by Title
Now showing items 330-349 of 401
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Space-Time Block Codes With Low Sphere-Decoding Complexity
(2017-05-04)One of the most popular ways to exploit the advantages of a multiple-input multiple-output (MIMO) system is using space time block coding. A space time block code (STBC) is a finite set of complex matrices whose entries ... -
Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems
(2018-08-30)Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian ... -
Sparse Input View Synthesis: 3D Representations and Reliable Priors
Novel view synthesis refers to the problem of synthesizing novel viewpoints of a scene given the images from a few viewpoints. This is a fundamental problem in computer vision and graphics, and enables a vast variety of ... -
Spatial Analysis and Reconstruction of Reverberant Speech
Speech signal includes the spoken message and a lot more information such as speaker emotion, identity, language, speaking location characteristic etc., which makes the human interaction lively, desirable and more useful. ... -
Spectral Efficiency and Energy-efficiency Trade-off in Spectrum Sharing and RIS-based Wireless Systems
Spectral efficiency (SE) and energy-efficiency (EE) are the two key performance indicators for next-generation wireless systems. The SE specifies how much information can be communicated by the system per unit time and ... -
Spectral Efficiency Improvement in Spatial Modulation Systems
A novel energy efficient Multiple-Input-Multiple-Output (MIMO) technique is called Spatial Mod- ulation (SM). It uses only one radio frequency (RF) chain that reduces the hardware complexity and cost of the system. The ... -
Spectro-Temporal Features For Robust Automatic Speech Recognition
(2011-01-18)The speech signal is inherently characterized by its variations in time, which get reflected as variations in frequency. The specto temporal changes are due to changes in vocaltract, intonation, co-articulation and successive ... -
Spectrum Sensing in Cognitive Radios using Distributed Sequential Detection
(2018-03-17)Cognitive Radios are emerging communication systems which efficiently utilize the unused licensed radio spectrum called spectral holes. They run Spectrum sensing algorithms to identify these spectral holes. These holes ... -
Spectrum Sensing Techniques For Cognitive Radio Applications
(2017-07-25)Cognitive Radio (CR) has received tremendous research attention over the past decade, both in the academia and industry, as it is envisioned as a promising solution to the problem of spectrum scarcity. ACR is a device that ... -
Speech Encryption Using Wavelet Packets
(Indian Institute of Science, 2005-10-07)The aim of speech scrambling algorithms is to transform clear speech into an unintelligible signal so that it is difficult to decrypt it in the absence of the key. Most of the existing speech scrambling algorithms tend ... -
Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations
(2013-07-03)Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations in these result in a large spread in leakage ... -
Stochastic Finite Element Modeling of Material and Geometric Uncertainties in Electromagnetics
Design methodologies for RF/Microwave systems require major changes to cope up with the evolution of faster, high data/rate wireless communication systems using 5G and futuristic 6G technologies. The research on Terahertz ... -
Stochastic Methods in Time-Domain Electromagnetic Computations
The world is advancing towards a highly connected, fast data rate, digital trans- formation through communication technologies like 5G and 6G, high-speed data centres, Terahertz imaging etc. High-frequency RF systems are ... -
Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing
This thesis contributes new theoretical results and recovery algorithms for the area of sparse signal recovery motivated by applications to the problem of channel estimation in mmWave communication systems. The presentation ... -
Studies on Amorphous Silicon Thin Films Doped with Aluminium
(Indian Institute of Science, 2005-10-25)Amorphous Silicon(a-Si) films have attracted the attention of several investigators as it is an economical material for devices. One of the problems that is addressed is the doping of these films after they are prepared. In ...