PhD Research Projects - Digital Signal Processing.

In this thesis, digital signal processing (DSP) algorithms are studied to compensate for physical layer impairments in optical fiber coherent communication systems. The physical layer impairments investigated in this thesis include optical fiber chromatic dispersion, polarization demultiplexing, light sources frequency and phase offset and.

The concept of digital signal processing has been widely used these days, as it has provided many benefits to the users with its capability of converting analog signals into digital signals to facilitate the process of transmission.The encoding techniques are available which were developed after a comprehensive research to support and enable the transmission of digital signals to meet the user.

This research develops a domain-specific hardware synthesis framework for digital signal processing (DSP) computations. By incorporating domain-specific knowledge of mathematics and algebra into a synthesis tool, the proposed framework can manipulate a math-level transform description to optimize a DSP transform implementation at the algorithmic and architectural design level.

Signal processing, image processing, and computer vision are practically three completely different research communities, with their separate problems, cultures, and publication venues (conferences and journals). As such you cannot do a PhD in all.

Digital Signal Processing for Optical Coherent Communication Systems Zhang, Xu Publication date: 2012 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Zhang, X. (2012). Digital Signal Processing for Optical Coherent Communication Systems. Technical University of Denmark.

Magnetoencephalography (MEG) is a non-invasive technology for imaging human brain function. Contemporary methods of analysing MEG data include dipole fitting, minimum norm estimation (MNE) and beamforming. These are concerned with localising brain activity, but in isolation they do not provide concrete evidence of interaction among brain regions.

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The Communications and Signal Processing group, based in the Electrical and Electronic Engineering Department at Imperial College London, consists of 12 academic staff, 15 postdoctoral researchers and around 50 PhD students, all working on various aspects of communication theory, wireless communications, signal and image processing, computer.

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Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal processing with applications in areas ranging from frame theory, quantization and sampling methods to detection, parameter estimation, covariance shaping and multiuser wireless.