Digital signals are used by digital systems to store, process and transfer information. Digital signals are binary sequences of 1s and zeros that represent discrete data. Digital systems include computers, electronic devices such as cameras and printers, and communication systems like Wi-Fi. Digital systems are a key component of modern technology and they have many advantages over analog systems. These include speed as well as their reliability and adaptability. Digital systems also have a lower price, reduced physical storage requirements for data and the capability to automatize processes.
The ability to scale digital systems is a further advantage. In a digital system an increase in resolution can be achieved by simply adding more bits to represent the signal. This allows the system to be easily adjusted to changing needs and growth scenarios without the need to modify any hardware.
Quantization error is what limits the accuracy of digital systems. This occurs when the continuous analog signals are transformed into digital representations. This can be reduced by designing a robust system. For instance, a parity bit or some other error-management scheme can be used to lessen the possibility of errors in data.
The stability analysis methods developed for linear time-invariant systems could also be extended to digital systems. z
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