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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 ...
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 ...