Linear Time Invarient System: Difference between revisions

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===LTI system properties===
===LTI system properties===
A system is considered to be a Linear Time Invarient when it satifies the two basic criteria implied in its name, one it must be linear and two it must be time invarient. A Linear system is charterized by two propeties superposition and scaling. The superpostion principal says that for any linear system a linear combination of solutions to the system is also a solution to the same linear system. The principal of scaling implies that if you adjust you scale you input by N amount your output will also be adjusted by N amount. An example of a Linear system then would be,
A system is considered to be a Linear Time Invarient when it satifies the two basic criteria implied in its name, one it must be linear and two it must be time invarient. A Linear system is charterized by two propeties superposition (additvity) and scaling (homegeneity). The superpostion principal says that for any linear system a linear combination of solutions to the system is also a solution to the same linear system. The principal of scaling implies that if you adjust you scale you input by N amount your output will also be adjusted by N amount. An example of a Linear system then would be,


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Revision as of 05:13, 4 October 2006

LTI systems

LTI System theory is a powerful and widely used concept in electrical engineering. It has applictions in circuit anlysis, control theory , and our main topic of interest signal processing.

LTI system properties

A system is considered to be a Linear Time Invarient when it satifies the two basic criteria implied in its name, one it must be linear and two it must be time invarient. A Linear system is charterized by two propeties superposition (additvity) and scaling (homegeneity). The superpostion principal says that for any linear system a linear combination of solutions to the system is also a solution to the same linear system. The principal of scaling implies that if you adjust you scale you input by N amount your output will also be adjusted by N amount. An example of a Linear system then would be,

for any scalar values of A and B.

Time invarience of a system means that for adjust any input by some amout of time T the out put will also be adjusted by that amount of time. This impies that for,