Digital signals are used by digital systems to store, process and communicate information. These digital signals consist of binary sequences of 1s and zeros that represent discrete data. Electronic devices, computers, cameras and printers and communication systems such as Wi-Fi are all examples of digital systems. Digital systems are a core component of modern technology and offer many advantages over analog systems. These include speed, reliability, and flexibility. Digital systems also have lower price, less physical storage requirements for data, and the ability to automate processes.
The scalability of digital systems is an additional advantage. In a digital system, an additional resolution can be obtained by simply using more bits to represent the signal. This allows the system to easily adapt to various needs and future scenarios without the need to modify any hardware.
However, the precision of digital systems is hampered by the quantization error that occurs when the continuous analog signal is translated into an electronic representation. This can be minimized by designing the system click for source for robustness. Parity bits or other error-management schemes can be used to minimize the chances that data errors will occur.
The stability-analysis techniques developed for linear time-invariant systems can also be extended to digital systems. For instance the root loci of the characteristic equation for the closed-loop digital transfer function G(z) in the complex Z-plane (