Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
Now showing items 1184-1203 of 1710
-
Optimum Savitzky-Golay Filtering for Signal Estimation
(2018-03-21)Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the ... -
OTFS Modulation in MIMO Visible Light Communication Systems
Visible light communication (VLC) technology is emerging as an attractive technology for wireless communication in indoor and vehicular environments. In VLS systems, light emitting diodes (LED) and photo diodes (PD) ... -
OTFS Transceivers Design using Deep Neural Networks
Next generation wireless systems are envisioned to provide a variety of services with a wide range of performance requirements. Particularly, demand for high-mobility use cases involving high-speed trains, UAVs/drones, and ... -
Outlier Detection with Applications in Graph Data Mining
(2018-04-24)Outlier detection is an important data mining task due to its applicability in many contemporary applications such as fraud detection and anomaly detection in networks, etc. It assumes significance due to the general ... -
P3 : An Effective Technique for Partitioned Path Profiling
Acyclic path profile is an abstraction of dynamic control flow paths of procedures and has been found to be useful in a wide spectrum of activities. Unfortunately, the runtime overhead of obtaining such a profile can be ... -
Packet Scheduling on the Wireless Channel
(2017-12-07)Scheduling has always been an indispensable part of resource allocation in wireless networks. Accurate information about channel-state is assumed as a modeling simplification. However, in a real-life network ,e.g., Long ... -
Parallel algorithms for compilation
This thesis discusses the design of parallel algorithms for the compilation process. The model of computation is an SIMD (Single Instruction, Multiple Data) computer with shared memory, where no read or write conflicts are ... -
Parallel Algorithms for Efficient Utilization of Multiprocessor Architectures for Transient Stability
Computer hardware capabilities have been enormously increasing over the years. Multicore processors, graphic processing units (GPUs), and field programmable gate array (FPGA) accelerators have grown significantly recently. ... -
Parallel Computing Techniques for High Speed Power System Solutions
Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the ... -
A Parallelizing Compiler for Fortran
(Indian Institute of Science, 2005-03-09)With the advent of Distributed Memory Machines (DMMs) numerous work have been undertaken to ease the work of a programmer these systems. Data parallel languages like Fortran D, Vienna Fortran, High Performance Fortran and ... -
Parameterized Complexity of Maximum Edge Coloring in Graphs
(2018-03-09)The classical graph edge coloring problem deals in coloring the edges of a given graph with minimum number of colors such that no two adjacent edges in the graph, get the same color in the proposed coloring. In the following ... -
Passive localization of sound sources in shalow water simulation studies.
Array processing techniques for source localization in shallow waters can be classified as: i) Time delay estimation (TDE) techniques, and ii) High resolution (HR) methods. Time delay estimation techniques are two-step ... -
Pattern classification using conjuctive conceptual clustering procedures
This thesis deals with the salient features of the conjunctive conceptual algorithm CLUSTER/2 and describes new algorithms based on conjunctive concepts to overcome some of the problems associated with CLUSTER/2. From a ... -
Pattern recognition schemes involving feature measurment and random classification costs
The central theme of this thesis is the study of the effects of costs on the design and operation of statistical pattern recognition schemes. An analysis of Bayesian pattern recognition including feature measurement costs ... -
Pattern recognition techniques based on self-Organization and learning vector Quantization
Autom atic Recognition of Patterns (APR) by a machine is perhaps the most challenging problem in Artificial Intelligence. The leitmotiv for the design of such a machine comes from the human visual system which is endowed ... -
Pattern recognition via Fuzzy set methods
The main objective of this thesis is the development of a methodology based on fuzzy set theory for several practical pattern recognition problems. Pattern recognition (PR) encompasses a range of problems from feature ... -
Pattern representation and prototype selection for handwritten digit recognition
In this work, we present three independent ideas to increase the classification accuracy using the nearest neighbour classifier. These ideas are: (i) combination of decisions using different representation schemes, (ii) ... -
PC. base interferometer for radio astronomy
5.1 Review As shown in the previous chapters through analytical, design, and experimental studies, the PC?based DAS is a very useful building block in radio interferometry. This has enabled the development of a PC?based ...