Digital systems use digital signals to store processes, transmit, and store information. These digital signals are composed of binary sequences of 0s and 1s that represent discrete information. Computers, electronic devices like printers and cameras as well as communication systems like Wi-Fi are a few examples of digital systems. Digital systems are a crucial element of modern technology and have many advantages over analog ones. They are speedy as well as their reliability and flexibility. Digital systems are also less expensive and require less space for data storage, and can automatize processes.
The scalability of digital systems is a further benefit. In a digital system an increased resolution is achieved by simply adding more bits to the signal. This means that the system can easily be adapted to various needs and growth scenarios without requiring any hardware modifications.
However, the accuracy of a digital system is limited by the quantization error that occurs when a continuous analog signal is translated into a digital representation. This can be reduced by designing the system for robustness. Parity bits or other error-management schemes can be used to reduce the probability that data errors will occur.
The stability-analysis techniques developed for linear time-invariant systems could be applied to digital systems. For instance the root location of the characteristic equation for the closed-loop digital transfer function G(z) in the complex z-plane (
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