Abstract
We live in an increasingly digital world where computers and microprocessors perform data processing and storage. Digital
devices are programmed to quickly and efficiently process sequences of bits. Signal processing then translates to mathematical algorithms that are programmed in a computer operating on these bits. An analog-to-digital converter converts the continuous time signal into samples; the transition from the physical world to a sequence of bits causes information loss in both time (sampling phase) and amplitude (the quantization step). Is it possible to restore information that is lost in transition to the digital domain?
devices are programmed to quickly and efficiently process sequences of bits. Signal processing then translates to mathematical algorithms that are programmed in a computer operating on these bits. An analog-to-digital converter converts the continuous time signal into samples; the transition from the physical world to a sequence of bits causes information loss in both time (sampling phase) and amplitude (the quantization step). Is it possible to restore information that is lost in transition to the digital domain?
Original language | English |
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Pages (from-to) | 1-2 |
Number of pages | 2 |
Journal | SIAM News |
Volume | 51 |
Issue number | 9 |
State | Published - 1 Nov 2018 |
Externally published | Yes |