The focus of the projects presented here was to develop possible solutions to three issues commonly encountered during chemometric analysis of comprehensive two-dimensional liquid chromatography diode array detector (LCxLC-DAD) data. The focus of the first project was to determine a means of performing background correction that removed two background ridges. The methods of simply subtracting out a mean blank sample, singular value decomposition based background correction (SVD-BC) and asymmetrically weighted least squares (AWLS) were compared. AWLS was found to be the only background correction technique to fully remove the ridges. However, AWLS was also found to attenuate the peak intensity by approximately 25% due to over fitting of the background at the lower wavelengths. The focus of the second project was the investigation of five common interpolation strategies for the reconstruction of the sampled first dimension peak. The interpolation strategy that best reproduced the original first dimension retention time was Gaussian fitting. This was expected given that the simulated data set was generated using a Gaussian model for the peak shape. An algorithm, semi-automated alignment method (SAAM), was then developed that allowed for each peak to be aligned independently of the other peaks in the data set. SAAM was validated using both simulated and experimental data. The simulated results indicated that SAAM produced percent recoveries close to 100%. SAAM was also compared to iterative key set factor analysis-alternating least squares (IKSFA-ALS) for the analysis of phenytoin in a waste water treatment plant effluent. SAAM produced a concentration of 26±3 ppb compared to 39±9 ppb from IKSFA-ALS. While these results are very different, the result produced by SAAM is still within the experimental error of the reference 2D-LC/MS/MS method, 42±19. Finally, SAAM was compared to two existing literature methods. A mixture of simulated and experimental data sets was used to measure the accuracy and precision of the results. SAAM was found to be impacted less by intra- and inter-sample retention time shifting then PARAFAC2. SAAM and shifted candecomp/PARAFAC were found to produce very similar results. However, SAAM was found to experience some difficulty producing accurate and precise results with some of the experimental data sets.

This study investigates the impact of time alignment on perceived attributes for drumkit recording techniques within the context of popular music. While previous research has compared time alignment in drum recording, little attention has been paid to the differences it may cause in perceived recording qualities. To address this gap, various overhead microphone configurations were recorded alongside kick and snare microphones to create stimuli for listening tests. These recordings were then processed with and without time alignment, and attributes such as clarity and punch were evaluated by participants using a modified MUSHRA interface. The results consistently favored non-time-aligned techniques in terms of perceived clarity and punch, with statistically significant differences observed in most cases. Preferences between engineers and musicians did not significantly differ. Participants provided both quantitative and qualitative feedback, including preferences for certain techniques and evaluations of clarity, punch, balance, size, and width. Least preferred samples exhibited characteristics such as roominess, phase issues, processed sound, dryness, harshness, muddiness, and undefined qualities. Critiques of the XY configurations included mentions of uneven stereo imaging and unnatural phase correlation, suggesting potential improvements in mic placement.

Synchronization between base stations is a fundamental part of any operating telecommunication system. With 5G and future generations of mobile networks, the data speeds are getting higher, which creates the need for fast and accurate synchronization. In wireless systems, the transmitted signals are affected by the environment. Both moving and stationary objects can cause a transmitted signal to be scattered or reflected, causing the receiver to receive multiple instances of one signal. If a synchronization signal is transmitted from one base station and received in multiple instances by another, it is hard for the receiving base station to know which of the received instances that should be used for calculating the synchronization error between the base stations. In this thesis, multiple different algorithms for selecting a synchronization signal pair between two base stations to be used for calculating time alignment error have been tested. The results have been evaluated based on their accuracy of selecting a correct matching signal pair. It is shown that the proposed algorithms in this thesis all perform significantly better than the method currently in use. Further, the advantages and disadvantages of each of the new algorithms are discussed, and finally new concepts for future studies are suggested. / Synkronisering mellan basstationer är en fundamental del av ett fungerande telekommunikationssystem. Med 5G och framtida generationer av mobila nätverk så ökas datahastigheter, vilket skapar behovet av en snabb och precis synkronisering. I trådlösa system påverkas skickade signaler av dess omgivning. Både stationära och icke-stationära objekt i omgivningen kan splittra eller reflektera signaler, vilket ger upphov till en flervägskanal. Detta gör att en mottagare kan ta emot flera instanser av en skickad signal. Om en synkroniseringssignal skickas från en basstation via en flervägskanal till en mottagande basstation, så kommer mottagaren att ta emot flera instanser av den skickade signalen vid olika tidpunkter. Det kan då vara svårt för mottagaren att avgöra vilken av de mottagna signalerna som ska användas vid beräkning av tidsfelet mellan basstationerna. I detta examensarbete testas ett flertal olika algoritmer för att välja vilket synkroniseringssignalpar som ska användas vid beräkning av tidsfelet mellan två basstationer. Resultatet utvärderas baserat på hur hög precision algoritmen har i att välja ett korrekt matchat synkroniseringssignalpar. Resultatet visar att de algoritmer som presenteras i denna uppsats presterar märkbart bättre än den algoritm som används i systemen just nu. Vidare diskuteras fördelar och nackdelar med de olika algoritmerna och förslag på vidareutveckling av algoritmerna läggs fram.