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HomeHomework Helpsignal-processingLTI Systems and Convolution

LTI Systems and Convolution

Linear Time-Invariant (LTI) systems are systems characterized by linearity and time invariance, allowing for the analysis and prediction of system behavior using convolution. Convolution is a mathematical operation that combines two signals to produce a third signal, representing the output of the LTI system when a specific input is applied.

intermediate
3 hours
Signal Processing
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Overview

Linear Time-Invariant (LTI) systems are essential in signal processing, characterized by their linearity and time-invariance. These systems respond predictably to inputs, making them easier to analyze and design. The impulse response is a key concept, as it defines the system's behavior and allows f...

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Key Terms

Linearity
A property of a system where the output is directly proportional to the input.

Example: If input A produces output B, then input 2A produces output 2B.

Time-Invariance
A property of a system where the output does not change if the input is delayed.

Example: If input A produces output B at time t, then input A delayed by t0 produces output B delayed by t0.

Impulse Response
The output of an LTI system when the input is an impulse function.

Example: The impulse response of a system can be used to find the output for any input using convolution.

Convolution
A mathematical operation that combines two functions to produce a third function.

Example: The convolution of a signal with an impulse response gives the output of an LTI system.

Frequency Domain
A representation of signals or systems in terms of frequency rather than time.

Example: Fourier Transform converts a time-domain signal into its frequency-domain representation.

Fourier Transform
A mathematical transform that converts a time-domain signal into its frequency components.

Example: The Fourier Transform of a square wave shows its harmonic frequencies.

Related Topics

Fourier Analysis
Study of how functions can be represented as sums of sinusoids, crucial for understanding frequency domain analysis.
intermediate
Digital Signal Processing
Focuses on the manipulation of signals in digital form, applying LTI concepts in practical applications.
intermediate
Control Systems
Explores how to control dynamic systems using feedback, often utilizing LTI principles.
advanced

Key Concepts

LinearityTime-InvarianceImpulse ResponseConvolution