Now showing items 1-10 of 21
Nonlinear Processing Of EEG and HRV Signals For The Study Of Physiological And Pathological States
Physiological signals, electroencephalogram (EEG) and heart rate variability (HRV), are generated by complex self-regulating systems. These signals are extremely inhomogeneous and nonstationary, and fluctuate in an irregular ...
Switching Theoretic Approach To Image Compression
Design And Analysis Of Microstrip Ring Antennas For Multi-frequency Operations
In this research we attempted several modifications to microstrip ring/loop antennas to design multi-frequency antennas through systematic approaches. Such multi-frequency antennas can be useful while building compact ...
Low Power Receiver Architecture And Algorithms For Low Data Rate Wireless Personal Area Networks
Sensor nodes in a sensor network is power constrained. Transceiver electronics of a node in sensor network consume a good share of total power consumed in the node. The thesis proposes receiver architecture and algorithms ...
Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations
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 ...
Performance Analysis Of Post Detection Integration Techniques In The Presence Of Model Uncertainties
In this thesis, we analyze the performance of the Post Detection Integration (PDI) techniques used for detection of weak DS/CDMA signals in the presence of uncertainty in the frequency, noise variance and data bits. Such ...
Optimum Event Detection In Wireless Sensor Networks
We investigate sequential event detection problems arising in Wireless Sensor Networks (WSNs). A number of battery–powered sensor nodes of the same sensing modality are deployed in a region of interest(ROI). By an event ...