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Now showing items 4953-4972 of 6394
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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 ... -
Space-Time Evolution of the Intraseasonal Variability in the Indian Summer Monsoon and its Association with Extreme Rainfall Events : Observations and GCM Simulations
(2018-03-01)In this thesis, we investigated modes of intraseasonal variability (ISV) observed in the Indian monsoon rainfall and how these modes modulate rainfall over India. We identified a decreasing trend in the intensity of ... -
Space-Time Gauge Theories for Continuum Modelling of Viscoplasticity, Damage And Electro-Magneto-Mechanical Phenomena in Solids
Over the years, sustained research efforts have aimed to understand the material behaviour under a broad range of response regimes, especially from micromechanical or phenomenological perspectives — via both continuum ... -
Space-time variability of near-surface salinity in the Bay of Bengal
Freshwater from monsoon rain and rivers leads to a 5-10 m deep low-salinity layer in the north Bay of Bengal from August to February. The thin fresh layer, with strong stratification at its base, is highly responsive to ... -
Space-Vector-Based Pulse Width Modulation Strategies To Reduce Pulsating Torque In Induction Motor Drives
(2015-05-27)Voltage source inverter (VSI) is used to control the speed of an induction motor by applying AC voltage of variable amplitude and frequency. The semiconductor switches in a VSI are turned on and off in an appropriate ... -
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 bounds for various spherical maximal functions
Harmonic analysis mainly deals with the qualitative and quantitative properties of functions and transforms of those functions. It has applications in various areas of Mathematics like PDE, Differential geometry, Ergodic ... -
Sparse Multiclass And Multi-Label Classifier Design For Faster Inference
(2013-06-20)Many real-world problems like hand-written digit recognition or semantic scene classification are treated as multiclass or multi-label classification prob-lems. Solutions to these problems using support vector machines (SVMs) ... -
Sparsification of Reaction-Diffusion Dynamical Systems on Complex Networks
Graph sparsification is an area of interest in computer science and applied mathematics. Spar- sification of a graph, in general, aims to reduce the number of edges in the network while preserving specific properties of ... -
Sparsity Driven Solutions to Linear and Quadratic Inverse Problems
The problem of signal reconstruction from inaccurate and possibly incomplete set of linear/non-linear measurements occurs in a variety of signal and image processing applications. In this thesis, we develop reconstruction ... -
Sparsity Motivated Auditory Wavelet Representation and Blind Deconvolution
(2018-08-29)In many scenarios, events such as singularities and transients that carry important information about a signal undergo spreading during acquisition or transmission and it is important to localize the events. For example, ... -
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. ... -
Spatial and Coevolutionary Dynamics of Cooperation
Cooperation is ubiquitous across taxa in the animal kingdom. For example, microbes cooperate in producing antibiotic-resistant biofilms, mammals and birds collectively mob predators, and humans cooperate in utilization of ... -
Spatial and temporal patterns of vegetation- climate interactions
In this thesis, I tried to understand the patterns and processes of vegetation trends at different spatial scales and resolution. The spatial variability in vegetation trends was related to inter and intra-annual changes ... -
Spatial downscaling and analysis of satellite and ground-based rainfall for hydrological modelling
Precipitation is a vital element of the global hydrological and energy cycles, which is intermittent and highly variable in both space and time. Accurate measurements of precipitation at various space and time scales are ... -
Spatial Encoding NMR : Methods and Application to Relaxation Measurements, Dissolution Monitoring and Ultrafast NMR
(2018-02-06)Discrete and Continuous spatial encoding methods are described with details of understanding principles and practical implications. Step by step experimental op- timization procedure of these methods to achieve slice ... -
Spatial Filtering Techniques for Large Penetration Depth and Volume Imaging in Fluorescence Microscopy
(2018-04-06)In the past two decades, Fluorescence microscopy has imparted tremendous impact in Biology and Imaging. Several super-resolution Fluorescence imaging techniques (e.g. PALM, STED, STORM, 4Pi and structured illumination) ... -
Spatial Variation In Interactions Of The Semi-Myrmecophyte Humboldtia Brunonis (Fabaceae) With Ants And Other Invertebrates
(2010-06-01)Despite a long history of investigations on protective ant-plant interactions, since the late 19century (Thomas Belt 1874), a comprehensive quantitative understanding of the adaptations that facilitate these associations ... -
Spatially Adaptive Regularization for Image Restoration
Image restoration/reconstruction refers to the estimation of an underlying image from measurements generated by imaging devices. This problem is generally ill-posed since the measurements are corrupted by the physical ...