Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 1073-1092 of 1250
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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. ... -
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 ... -
Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks
(2018-02-10)One of the major applications of wireless sensor networks is to sense accurate and reliable data from the physical environment with or without a priori knowledge of data statistics. To extract accurate data from the physical ... -
Spatio-temporal Memories: Theory and Algorithms
This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning ... -
Speaker verification using whispered speech
Like neutral speech, whispered speech is one of the natural modes of speech production, and it is often used by speakers in their day-to-day life. For some people, such as laryngectomees, whispered speech is the only ... -
Specification Synthesis with Constrained Horn Clauses
Many practical problems in software development, verification and testing rely on specifications. The problem of specification synthesis is to automatically find relational constraints for undefined functions, called ... -
Spectral And Temporal Zero-Crossings-Based Signal Analysis
(2017-09-20)We consider real zero-crossing analysis of the real/imaginary parts of the spectrum, namely, spectral zero-crossings (SZCs). The two major contributions are to show that: (i) SZCs provide enable temporal localization of ... -
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 ... -
Spectrotemporal Processing of Speech Signals Using the Riesz Transform
Speech signals possess a rich time-varying spectral content, which makes their analysis a challenging signal processing problem. Developing methods for accurate speech analysis has a direct impact on applications such as ... -
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 and noise analysis using sparse representation and acoustic-phonetics knowledge
This thesis addresses different aspects of machine listening using two different approaches, namely (1) A supervised and adaptive sparse representation based approach for identifying the type of background noise and the ... -
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 ... -
Speech enhancement using deep mixture of experts
Speech enhancement is at the heart of many applications such as speech com- munication, automatic speech recognition, hearing aids etc. In this work, we consider the speech enhancement under the framework of multiple ... -
Speech task-specific representation learning using acoustic-articulatory data
Human speech production involves modulation of the air stream by the vocal tract shape determined by the articulatory configuration. Articulatory gestures are often used to represent the speech units. It has been shown ... -
Spill Code Minimization And Buffer And Code Size Aware Instruction Scheduling Techniques
(2009-05-19)Instruction scheduling and Software pipelining are important compilation techniques which reorder instructions in a program to exploit instruction level parallelism. They are essential for enhancing instruction level ... -
Stable Galerkin Finite Element Formulation for the Simulation of Electromagnetic Flowmeter
(2018-02-07)Electromagnetic flow meters are simple, rugged, non-invasive flow measuring instruments, which are extensively employed in many applications. In particular, they are ideally suited for the flow rate measurement of liquid ...