Digital signals are utilized by digital systems to process, store and transmit information. These digital signals consist of binary sequences of 0s and 1s that represent discrete information. Computers, electronic devices such as printers and cameras, as well as communication systems like Wi-Fi are a few examples of digital systems. Digital systems are an integral part of modern technology, and offer many advantages over analog systems. They are also renowned for their flexibility, reliability and speed. Digital systems also have a lower cost, reduced physical space requirements for data storage and the capability to automatize processes.

The ability to scale digital digital systems systems is yet another benefit. In a digital platform, an additional resolution is achieved by simply using more bits for the signal. This allows the system to easily adapt to changing needs and growth scenarios without needing to change any hardware.

However, the accuracy of digital systems is hampered by the quantization error that occurs when the continuous analog signal is converted into digital representation. This can be minimized by implementing a reliable system. Parity bits or other error management methods can be employed to reduce the probability that data errors can occur.

In addition, the stability-analysis methods devised for linear time-invariant systems can be applied to digital systems. z