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2: Introduction to Systems

Last updated

Feb 23, 2021
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- 1.9: Discrete Time Complex Exponential
- 2.1: System Classifications and Properties

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2.1: System Classifications and Properties
This page outlines system classifications and properties essential for signal and system courses, highlighting distinctions like continuous vs. discrete, linear vs. nonlinear, time invariant vs. time varying, causal vs. noncausal, and stable vs. unstable systems. It emphasizes that recognizing these shared properties aids in analysis without individual proofs. Future modules will delve into other classification methods based on memory use.
2.2: Linear Time Invariant Systems
This page discusses linearity and time invariance in systems, essential concepts in signal processing. Linearity indicates that outputs are scaled versions of inputs, while time invariance ensures consistent outputs despite input timing changes. The text highlights examples of linear and time-invariant systems and emphasizes the benefits of analyzing LTI (Linear Time-Invariant) systems for efficient signal processing solutions.

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