Linear Time Invarient System: Difference between revisions

From Class Wiki
Jump to navigation Jump to search
Smitry (talk | contribs)
Line 3: Line 3:


===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 (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 your scale an 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 Invariant when it satisfies the two basic criteria implied in its name, one it must be linear and two it must be time invariant.  A Linear system is characterized by two properties superposition (additivity) and scaling (homogeneity).  The superposition 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 your scale an input by N amount, your output will also be adjusted by N amount.  An example of a linear system then would be,


::<math>x_1(t)</math>
::<math>x_1(t)</math>
Line 12: Line 12:
for any scalar values of A and B.
for any scalar values of A and B.


Time invarience of a system means that for any input <math>x(t)</math> by some amout of time T the out put will also be adjusted by that amount of time.  This implies that for,
Time invariance of a system means that for any input <math>x(t)</math> by some amount of time T the out put will also be adjusted by that amount of time.  This implies that for,


::<math>x(t - T)</math>
::<math>x(t - T)</math>
::<math>y(t - T) = H(x(t - T))</math>
::<math>y(t - T) = H(x(t - T))</math>

Revision as of 14:48, 8 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 Invariant when it satisfies the two basic criteria implied in its name, one it must be linear and two it must be time invariant. A Linear system is characterized by two properties superposition (additivity) and scaling (homogeneity). The superposition 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 your scale an input by N amount, your output will also be adjusted by N amount. An example of a linear system then would be,

x1(t)
x2(t)
y1(t)=H(x1(t))
y2(t)=H(x2(t))
Ay1(t)+By2(t)=H(Ax2(t)+Bx1(t))

for any scalar values of A and B.

Time invariance of a system means that for any input x(t) by some amount of time T the out put will also be adjusted by that amount of time. This implies that for,

x(tT)
y(tT)=H(x(tT))