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Transceiver Design Based on the Minimum-Error-Probability Framework for Wireless Communication Systems
(2018-06-19)
Parameter estimation and signal detection are the two key components of a wireless communication system. They directly impact the bit-error-ratio (BER) performance of the system. Several criteria have been successfully ...
Grassmannian Fusion Frames for Block Sparse Recovery and Its Application to Burst Error Correction
(2018-05-01)
Fusion frames and block sparse recovery are of interest in signal processing and communication applications. In these applications it is required that the fusion frame have some desirable properties. One such requirement ...
Wide-Band Radio-Frequency All-Pass Networks for Analog Signal Processing
(2018-01-10)
There is an ever increasing demand for higher spectral usage in wireless communication, radar and imaging systems. Higher spectral efficiency can be achieved using components that are aware of system environment and adapt ...
Fusion of Sparse Reconstruction Algorithms in Compressed Sensing
(2018-06-08)
Compressed Sensing (CS) is a new paradigm in signal processing which exploits the sparse or compressible nature of the signal to significantly reduce the number of measurements, without compromising on the signal reconstruction ...
Efficient Design of Embedded Data Acquisition Systems Based on Smart Sampling
(2018-05-10)
Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce ...
Savitzky-Golay Filters and Application to Image and Signal Denoising
(2018-07-18)
We explore the applicability of local polynomial approximation of signals for noise suppression. In the context of data regression, Savitzky and Golay showed that least-squares approximation of data with a polynomial of ...
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 ...
Generalized Analytic Signal Construction and Modulation Analysis
(2018-04-02)
This thesis deals with generalizations of the analytic signal (AS) construction proposed by Gabor. Functional extensions of the fractional Hilbert Transform (FrHT) are proposed using which families of analytic signals are ...
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 ...