Discrete-to-continuous conversion, interpolation, pulse shaping techniques, and data conversion in real-time digital signal processing are discussed in this content. Topics include types of pulse shapes, sampling, continuous signal approximation, interpolation methods, and data conversion processes

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MRI artifacts are signal misrepresentations that can be caused by various factors such as patient movement, magnetic field inhomogeneity, metallic objects, and under-sampling. Motion artifacts, magnetic susceptibility artifacts, and aliasing/wrap-around artifacts are common types of artifacts that c

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Exploring the conversion of analog signals from the physical world into electrical signals using transducers in embedded systems. Learn about going from analog to digital representation, choosing sample rates, the Shannon-Nyquist sampling theorem, importance of anti-aliasing filters, and the necessi

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Discover the integration of Liquid Types and Refinement Types in C programming through Invariant Discovery, leading to automatically adapting C programs to fit Liquid Types. Explore challenges and solutions in expressing invariants, handling unknown aliasing, and implementing strong updates within t

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Make utility is an automation tool for efficient program running and compiling. It requires a Makefile to define tasks. Benefits include aliasing commands, efficient compilation of changed files, and ease of operation. Installation may vary per system. Makefiles consist of rules with specific struct

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This submission presents a modified transmit spectral mask for TG3e by Japan Radio Co., Ltd. The proposed mask aims to improve power efficiency without violating radio regulations. The motivation for the modification is to reduce unwanted aliasing and enhance SNR by employing a steep anti-aliasing s

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Dataflow analysis is crucial for optimizing programs by identifying opportunities for improvements like constant propagation and dead code elimination. This analysis involves modeling values of interest, formulating fixpoint equations, and solving them to enhance program efficiency. Concepts such as

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Fourier theory plays a crucial role in seismic processing by helping to avoid temporal and spatial aliasing. It emphasizes the importance of sampling rates for accurate waveform reconstruction and highlights the significance of oversampling to prevent aliasing issues. Spatial aliasing is discussed i

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