Browsing Electrical Communication Engineering (ECE) by Subject "Signal Processing"
Now showing items 1-20 of 20
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The Combined Effect Of Reduced Feedback, Frequency-Domain Scheduling, And Multiple Antenna Techniques On The Performance Of LTE
(2014-11-21)Frequency-domain scheduling, multiple antenna techniques, and rate adaptation enable next generation orthogonal frequency division multiple access (OFDMA) cellular systems such as Long Term Evolution (LTE) to achieve ... -
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 ... -
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 ... -
Low Power LO Generation Based On Frequency Multiplication Technique
(2008-08-27)TO achieve high level of integration in order to reduce cost, heterodyne architecture has made way for low-IF and zero-IF (direct conversion) receiver architectures. However, a very serious issue in implementing both zero ... -
Low-PAPR, Low-delay, High-Rate Space-Time Block Codes From Orthogonal Designs
(2011-02-03)It is well known that communication systems employing multiple transmit and multiple receive antennas provide high data rates along with increased reliability. Some of the design criteria of the space-time block codes ... -
Nonstationary Techniques For Signal Enhancement With Applications To Speech, ECG, And Nonuniformly-Sampled Signals
(2015-07-22)For time-varying signals such as speech and audio, short-time analysis becomes necessary to compute specific signal attributes and to keep track of their evolution. The standard technique is the short-time Fourier transform ... -
Robust Precoder And Transceiver Optimization In Multiuser Multi-Antenna Systems
(2013-10-04)The research reported in this thesis is concerned with robust precoder and transceiver optimization in multiuser multi-antenna wireless communication systems in the presence of imperfect channel state information(CSI). ... -
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 ... -
Subband Adaptive Filtering Algorithms And Applications
(Indian Institute of Science, 2007-03-26)In system identification scenario, the linear approximation of the system modelled by its impulse response, is estimated in real time by gradient type Least Mean Square (LMS) or Recursive Least Squares (RLS) algorithms. ... -
Timbre Perception of Time-Varying Signals
(2017-12-10)Every auditory event provides an information-rich signal to the brain. The signal constitutes perceptual attributes of pitch, loudness, timbre, and also, conceptual attributes like location, emotions, meaning, etc. In the ... -
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 ... -
Who Spoke What And Where? A Latent Variable Framework For Acoustic Scene Analysis
(2016-09-15)Speech is by far the most natural form of communication between human beings. It is intuitive, expressive and contains information at several cognitive levels. We as humans, are perceptive to several of these cognitive ... -
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 ...