The frequency-shift (FRESH) filter is a structure which exploits the spectral correlation of cyclostationary signals for removing interference and noise from a wanted signal. As most digital communication signals are cyclostationary, FRESH filtering offers certain advantages for interference rejection in a communications receiver. This thesis explores the operation and application of FRESH filters in practical interference scenarios. The theoretical background to cyclostationarity is clarified with graphical interpretations of what cyclostationarity is, and how a FRESH filter exploits it to remove interference. The effects of implementation in a sampled system are investigated, in filters which use baud rate related cyclostationarity, leading to efficiency improvements. The effects of varying the wanted signal pulse shape to enhance the cyclostationarity available to the FRESH filter are also investigated. A consistent approach to the interpretation of the FRESH filter's operation is used throughout, while evaluating the performance in a wide range of realistic channel conditions. VLF radio communication is proposed as one area where interference conditions are particularly suitable for the use of FRESH filtering. In cases of severe adjacent channel interference it is found that a FRESH filter can almost completely remove the interferer. The effects of its use with an impulse rejection technique are also investigated. Finally, blind adaptation of FRESH filters through exploitation of carrier related cyclostationarity is investigated. It is found that one existing method loses the advantage of FRESH filtering over time invariant linear filtering. An improvement is proposed to the latter which restores its performance to that of a trained FRESH filter, and also reveals that carrier related cyclostationarity can be exploited, in some cases, by a simpler method. J.

This thesis describes and discusses design and implementation of digital filters inembedded systems. Digital filters provide great flexibility where an interchangeablefilter is needed and real valued components are limited. Common sampling problemssuch as aliasing and reconstruction are discussed and solved using analog filters.A circuitry is constructed to interact with the embedded system according to itsspecifications. Digital filter theory is reviewed and applied in both IIR (Infinite ImpulseResponse) and FIR (Finite Impulse Response) filters. Design methods used arewindow method for the FIR filter and zero-pole placement for the IIR filter. Thefilters are implemented in c code on an embedded system named UC3-A3 AVR-boardfrom Atmel. The complete system is effectively used to filter a music piece fromunwanted interference and noise with real-time computing.

W.K. Lee. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1980. / Bibliography: leaves 107-111.

Hu, Hai. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

Wong Chun Kit. / Thesis submitted in: October 2006. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (leaves 73-76). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Background and Motivation --- p.1 / Chapter 1.2 --- Objectives --- p.4 / Chapter 1.3 --- Contributions --- p.4 / Chapter 1.4 --- Thesis Outline --- p.5 / Chapter 2 --- Digital Signal Processing --- p.6 / Chapter 2.1 --- Introduction --- p.6 / Chapter 2.2 --- Discrete-time Signals and Systems --- p.7 / Chapter 2.2.1 --- Discrete-time Signals --- p.7 / Chapter 2.2.2 --- Discrete-time Signal Processing Systems --- p.9 / Chapter 2.2.3 --- Linear Time-Invariant (LTI) Systems --- p.10 / Chapter 2.3 --- Finite Impulse Response (FIR) Filters --- p.13 / Chapter 2.3.1 --- Introduction --- p.13 / Chapter 2.3.2 --- Windowing FIR Filter Design Method --- p.15 / Chapter 2.4 --- Infinite Impulse Response (IIR) Filters --- p.17 / Chapter 2.4.1 --- Introduction --- p.17 / Chapter 2.4.2 --- Bilinear Transform IIR Filter Design Method --- p.18 / Chapter 2.4.3 --- Spectral Transformations of IIR Filters --- p.22 / Chapter 2.5 --- Comparison on FIR and IIR Filters --- p.25 / Chapter 2.6 --- Digital Signal Resampling --- p.26 / Chapter 2.6.1 --- Introduction --- p.26 / Chapter 2.6.2 --- Resampling by Decimation --- p.26 / Chapter 2.6.3 --- Resampling by Interpolation --- p.28 / Chapter 2.6.4 --- Resampling by a Rational Factor --- p.29 / Chapter 2.7 --- Introduction to Dual Fixed-point (DFX) Representation --- p.30 / Chapter 2.8 --- Summary --- p.33 / Chapter 3 --- Lyon and Mead's Cochlea Model --- p.34 / Chapter 3.1 --- Introduction --- p.34 / Chapter 3.2 --- Digital Cochlea Model: Cascaded IIR Filters --- p.37 / Chapter 3.2.1 --- Introduction --- p.37 / Chapter 3.2.2 --- Bandwidth and Centre frequencies --- p.38 / Chapter 3.2.3 --- Zeros and Poles --- p.39 / Chapter 3.3 --- Modifications for Decimated Cochlea Model --- p.41 / Chapter 3.3.1 --- Introduction --- p.41 / Chapter 3.3.2 --- Aliasing Avoidance --- p.42 / Chapter 3.3.3 --- Coefficient Modification after Decimation --- p.43 / Chapter 3.4 --- Summary --- p.47 / Chapter 4 --- System Architecture --- p.48 / Chapter 4.1 --- Introduction --- p.48 / Chapter 4.2 --- Hardware Platform and CAD Tools --- p.48 / Chapter 4.3 --- Sequential Processing Electronic Cochlea --- p.51 / Chapter 4.3.1 --- Pipelining - An Interleaving Scheme --- p.53 / Chapter 4.3.2 --- Decimation in Sequential Processing Electronic Cochlea . --- p.54 / Chapter 4.3.3 --- Multiple Sequential Cores --- p.55 / Chapter 4.3.4 --- Architecture of the DFX Filter Computation Core --- p.55 / Chapter 4.4 --- Summary --- p.60 / Chapter 5 --- Experimental Results --- p.61 / Chapter 5.1 --- Introduction --- p.61 / Chapter 5.2 --- Testing Environment --- p.61 / Chapter 5.3 --- Performance of the Sequential Electronic Cochlea --- p.63 / Chapter 5.3.1 --- Comparisons --- p.63 / Chapter 5.4 --- Summary --- p.69 / Chapter 6 --- Conclusions --- p.70 / Chapter 6.1 --- Future Work --- p.72 / Bibliography --- p.73

Real-time optical intensity correlation using a photorefractive BSO crystal and a liquid crystal television is implemented. The underlying physics basis is considered, some specific techniques to improve the operation are proposed, and several optical pattern recognition tasks are achieved. Photorefractive BSO is used as the holographic recording medium in the real-time intensity correlator. To improve the dynamic holographic recording, a moving grating technique is adopted. The nonlinear effects of moving gratings at large fringe modulation are experimentally investigated, and are compared with numerical predictions. Optical bias is adopted to overcome the difficulty of a large drop in the optimum fringe velocity with moving gratings. The effects of optical bias on the optimum fringe velocity and on the diffraction efficiency are studied. To overcome the inherent drawback of low discrimination of intensity correlation in optical pattern recognition, real-time edge-enhanced intensity correlation is achieved by means of nonlinear holographic recording in BSO. Real-time colour object recognition is achieved by using a commercially available and inexpensive colour liquid crystal television in the intensity correlator. Multi-class object recognition is achieved with a synthetic discriminant function filter displayed by the Epson liquid crystal display in the real-time intensity correlator. The phase and intensity modulation properties of the Epson liquid crystal display are studied. A further research topic which uses the Epson liquid crystal display to realize a newly designed spatial filter, the quantized amplitude-compensated matched filter, is proposed. The performance merits of the filter are investigated by means of computer simulations.

by Yeung Wai Leung. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (p. 248-[259]). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Mode of access: World Wide Web.

Meng, Meng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (p. [100]-102). / Abstract also in Chinese. / List of tables --- p.iii / List of figures --- p.iv / Introduction --- p.1 / Chapter 1.1 --- Overview of Microwave filters --- p.1 / Chapter 1.2 --- tuning of Microwave filters --- p.3 / Chapter 1.3 --- Rationalization of measured data --- p.6 / Chapter 1.4 --- Contributions of this thesis --- p.8 / Chapter 1.5 --- Organization of this thesis --- p.10 / Coupling matrix extraction methods --- p.11 / Chapter 2.1 --- Basics for coupling matrix synthesis --- p.11 / Chapter 2.2 --- Lossless coupling matrix extraction --- p.14 / Chapter 2.3 --- Lossy coupling matrix extraction --- p.17 / Chapter 2.3.1 --- Effects of dissipation factor --- p.18 / Chapter 2.3.2 --- Determination of dissipation factor --- p.21 / Approximation method single pole --- p.21 / Adjustment method by complex Y parameters --- p.22 / Chapter 2.3.3 --- Coupling matrix synthesis method with loss --- p.25 / Chapter 2.3.4 --- Relations between residues --- p.28 / Chapter 2.4 --- Case of degenerated poles --- p.29 / Chapter 2.4.1 --- The determination of poles --- p.30 / Y parameters interpolation method --- p.30 / Interpolation of denominator of Y parameter --- p.32 / Vector fitting method --- p.34 / Chapter 2.4.2 --- The determination of residues --- p.35 / Data rationalization --- p.39 / Chapter 3.1 --- Quasi-SB-AFS interpolation --- p.40 / Chapter 3.2 --- Removal of phase loading --- p.40 / Asymptote of phase using S parameters --- p.43 / Asymptote of phase using low-pass circuit model --- p.45 / Method of phase loading removal --- p.47 / Chapter 3.3 --- De-embedding of the reference plane --- p.49 / Examples of coupling matrix extraction --- p.57 / A 4th degree DR filter --- p.57 / A 6th degree waveguide filter --- p.62 / An 8th degree waveguide filter --- p.63 / A 10th degree waveguide filter --- p.66 / Filter tuning utilizing coupling matrix extraction --- p.69 / Chapter 5.1 --- Filter tuning strategies --- p.69 / Chapter 5.2 --- Filter tuning examples --- p.71 / Conclusions and discussions --- p.81 / APPENDIX A: Time domain tuning --- p.83 / APPENDIX B: ACME User´ةs Manual --- p.87 / Chapter B.1 --- ACME basics --- p.87 / Chapter B.2 --- Installations --- p.89 / Chapter B.3 --- Getting started --- p.90 / Chapter B.4 --- A hello world example --- p.97 / bibliography --- p.100

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Thesis (M.S.)--University of Missouri--Rolla, 2007. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed December 3, 2007) Includes bibliographical references (p. 65-66).