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Signal Processing and Signal Processing Models
1993In this chapter we will examine some of the characteristics of the dolphin sonar signal from a signal processing point of view. Several sections will also be devoted to the discussion of signal processing techniques and the construction of mathematical models and electronic analogs to the dolphin sonar signal processing system. These models and analogs
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2015
This chapter covers signals and signal processing. It presents a unified treatment of signals and interrupts, which helps put signals into a proper perspective. It treats signals as interrupts to processes, which diverts a process from its normal executions to do signal processing.
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This chapter covers signals and signal processing. It presents a unified treatment of signals and interrupts, which helps put signals into a proper perspective. It treats signals as interrupts to processes, which diverts a process from its normal executions to do signal processing.
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1971
It is very important that methods be developed to extract signals from the noisy backgrounds that usually accompany them. Signal processing has, therefore, become an important field in communications and in acoustics. The human ear processes the information it receives and does a reasonably good job of filtering.
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It is very important that methods be developed to extract signals from the noisy backgrounds that usually accompany them. Signal processing has, therefore, become an important field in communications and in acoustics. The human ear processes the information it receives and does a reasonably good job of filtering.
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2016
Digital signal processing algorithms are recursive in nature. These algorithms are explained by iterative data-flow graphs where nodes represent computations and edges represent communications. For all data-flow graphs, time taken to achieve output from the applied input is referred as iteration bound.
David K. Mellinger +3 more
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Digital signal processing algorithms are recursive in nature. These algorithms are explained by iterative data-flow graphs where nodes represent computations and edges represent communications. For all data-flow graphs, time taken to achieve output from the applied input is referred as iteration bound.
David K. Mellinger +3 more
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The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011, 2011
Boris Katsnelson +2 more
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Boris Katsnelson +2 more
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SignalP 6.0 predicts all five types of signal peptides using protein language models
Nature Biotechnology, 2022Felix Teufel +2 more
exaly