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This thesis aims to understand how to design high-performance compression algorithms suitable for hardware implementation and to provide hardware support for an efficient compression algorithm. Lossless data compression techniques have been developed to exploit the available bandwidth of applications in data communications and computer systems by reducing the amount of data they transmit or store. As the amount of data to handle is ever increasing, traditional methods for compressing data become· insufficient. To overcome this problem, more powerful methods have been developed. Among those are the so-called statistical data compression methods that compress data based on their statistics. However, their high complexity and space requirements have prevented their hardware implementation and the full exploitation of their potential benefits. This thesis looks into the feasibility of the hardware implementation of one of these statistical data compression methods by exploring the potential for reorganising and restructuring the method for hardware implementation and investigating ways of achieving efficient and effective designs to achieve an efficient and cost-effective algorithm.

In general digital control algorithms are multi-input multi-output (MIMO) recursive digital filters, but there are particular numerical requirements in control system processing for which standard processor devices are not well suited, in particular arising in systems with high sample rates. There is therefore a clear need to understand the numerical requirements properly, to identity optimised forms for implementing control laws, and to translate these into efficient processor architectures. By taking a considered view of the numerical and calculation requirements of control algorithms, it is possible to consider special purpose processors that provide well-targeted support of control laws. This thesis describes a compact, high-speed, special-purpose processor which offers a low-cost solution to implementing linear time invariant controllers.

abstract: Mobile electronic devices such as smart phones, netbooks and tablets have seen increasing demand in recent years, and so has the need for efficient, responsive and small power management solutions that are integrated into these devices. Every thing from the battery life to the screen brightness to how warm the device gets depends on the power management solution integrated within the device. Much of the future success of these mobile devices will depend on innovative, reliable and efficient power solutions. Perhaps this is one of the drivers behind the intense research activity seen in the power management field in recent years. The demand for higher accuracy regulation and fast response in switching converters has led to the exploration of digital control techniques as a way to implement more advanced control architectures. In this thesis, a novel digitally controlled step-down (buck) switching converter architecture that makes use of switched capacitors to improve the transient response is presented. Using the proposed architecture, the transient response is improved by a factor of two or more in comparison to the theoretical limits that can be achieved with a basic step down converter control architecture. The architecture presented in this thesis is not limited to digitally controlled topologies but rather can also be used in analog topologies as well. Design and simulation results of a 1.8V, 15W, 1MHz digitally controlled step down converter with a 12mV Analog to Digital Converter (ADC) resolution and a 2ns DPWM (Digital Pulse Width Modulator) resolution are presented. / Dissertation/Thesis / M.S. Electrical Engineering 2013

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