Covering the energy demand by using environmentally friendly resources is a major challenge of the present. Gas turbines take a central role in accomplishing this objective, as they allow for bridging periods of a deficit in available renewable energy sources. The application of…
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An SNR estimation approach and a jamming detector based on wavelet transform theory are presented. The SNR estimator is an in-service, non-data aided estimator that operates on M-PSK and QAM modulated signals transmitted over baseband CWGN channels. The signal and noise power ar…
The main goal of the present work is to develop a reconstruction scheme for the signals being linear combinations of the shifts of one or more known functions and their derivatives (in one or several variables). We call this class "shift-generated signals". Many important signal…
Non-destructive testing (NDT) is the process of non-invasive material examination. Within this field, ultrasonic inspection is one method of examination used to detect flaws in structural and functional industrial components, to assess their structural integrity and fitness for …
The utilisation of opto-electrical techniques in biomedical monitoring has become increasingly widespread, largely due to its non-invasive nature and the relatively low requirements for the hardware setup. Imaging photoplethysmography (iPPG) - a method of detecting blood volume …
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication system is a significant issue. As the distance travelled by the information signal increases, the bit error ratio will degrade. Machine learning techniques (ML) have been used in ap…
Non-Destructive Testing of industrial components carries vital importance, both financially and safety-wise. Among all Non-Destructive techniques, Long Range Ultrasonic Testing utilizing the guided wave phenomena is a young technology proven to be commercially valid. Owing to it…
This thesis presents work done to extend and improve the operation of homodyne dechirp-on-receive linearly frequency modulated radars. First, an investigation of the effect of common phase errors on the point response function of the radar is described. The dependence on the win…
Interpretation of ground penetrating radar (GPR) signals can be a key point in the overall operability of a GPR system. In stepped-frequency and Frequency-Modulated Continuous-Wave (FMCW)GPR systems in particular, the target or object of interest is often located by analysis of …
This dissertation focuses on the novel delta-sigma modulator, called binary delta-sigma modulator, which is suitable for ultra high-speed Analog to Digital conversion in optical applications. A performance comparison of the binary delta-sigma modulator (BDSM) with the convention…
Asphalt is an amorphous material whose mechanical performance relies on viscoelastic responses to applied strain or stress. High quality pavement can enhance the commute experience and also can reduce the risk of accidents as well as preventing air pollution. Furthermore, it als…
Random signal measurement, in the form of random projections of signal vectors, extends the traditional point-wise and periodic schemes for signal sampling. In particular, the well-known problem of sensing sparse signals from linear measurements, also known as Compressed Sensing…
Due to the inception of the big data applications, it is becoming increasingly important to manage and analyze large volumes of data. However, it is not always possible to efficiently analyze very big chunks of detailed data. Thus, data aggregation techniques emerged as an effic…
Shrinkage of feature size allows future system-on-chip (SOC) to have various types of digital and analog IP cores. Each IP typically has different native testing requirements and design for tests (DFTs). Generally, DFTs reduce cost by reducing the I/O data rate requirements, low…
Advances in technology and science have spurred an increasing accumulation of complex data sources, leading modern researchers into a diverse present- day data revolution. The new tenor of data collection has created a two-part problem: historical models are often not malleable …
Always-on sound classification is a desirable but power-intensive function for a variety of emerging applications such as wearables and IoT devices. The hardware energy consumption of sound classifiers is typically driven by signal digitization, feature extraction, classificatio…
This thesis concerns fractional-order (non-integer) methods for control system design. Although fractional-order calculus has a long history in mathematics and engineering, the uptake of relevant fractional-order concepts in control systems research has been relatively slow, and…