Fast review mode: answers are shown by default so you can skim quickly. Hide them if you want to self-test.
Discrete Time Systems Implementation topics include: Realization structures for discrete time systems, FIR system structures, IIR system structures, number representation, state space system analysis, quantization error analysis and bilinear transformations.
Discrete-time systems process discrete-time signals. They can be represented by a set of difference equations or a block diagram of their implementation.
The input and output of a discrete-time system are related by a linear constant coefficient difference equation. This equation defines a sequence of operations to implement the system. A discrete-time system is causal if the output is 0 when the input is 0 and there are no initial conditions. The output does not depend on future inputs. Discrete-time systems can be of finite impulse response (FIR) or infinite impulse response (IIR) type. A FIR filter is a filter whose impulse response is of finite duration. Before implementation, it is recommended to use a simulator of the system to test the importance of the value of h. Discrete-time signal processing (DSP) has applications in many domains, such as digital communications, medical imaging, audio and video systems, consumer electronics, and robotics
Join 4M+ learners. Unlock unlimited quizzes, wrong-answer tracking, flashcards + reminders, study guides, and 1-on-1 challenges.