This dissertation analyzes the interplay between the analog and the digital worlds. The conversion between discrete-time signals and continuous-time signals is important because today most information is processed digitally while real world signals are analog. Bandlimited interpolation is studied, as well as the reconstruction of bandlimited signals from their samples for different signal spaces. Fundamental limits are discovered and results are obtained in several directions, e.g., for non-equidistant sampling, oversampling, and stochastic processes. The processing of signals with linear time-invariant systems is important for applications. The classical and distributional convergence behavior of different convolution-type system representations is analyzed. Attention is paid to sampling-type representations that use only the samples of the input signal to compute the system output. Finally, the effects of quantization are studied.
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This dissertation analyzes the interplay between the analog and the digital worlds. The conversion between discrete-time signals and continuous-time signals is important because today most information is processed digitally while real world signals are analog. Bandlimited interpolation is studied, as well as the reconstruction of bandlimited signals from their samples for different signal spaces. Fundamental limits are discovered and results are obtained in several directions, e.g., for non-equi...
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