You are correct, u[n] is the discrete-time version of the Heaviside function u(t), also called a step function. The Kronecker delta function is d[n] (with "d" representing the Greek lower-case "delta" letter) is the discrete-time version of the Dirac delta function d(t).
Thanks! Software includes Autodesk Sketchbook Pro for handwriting and drawing, TechSmith Snagit for capturing and editing still images and graphics, and Camtasia Studio also by TechSmith for video screen capture, editing, and production. I use a Wacom Cintiq pen display to operate Sketchbook Pro.
Suppose a signal is growing exponentially. We take its Z transform & find its ROC. So what are we supposed to do practically? Are we supposed to manipulate our O/P by multiplying any signal from ROC such that our O/P converges & system is stable? And what if our signal is exponentially decaying so whats the purpose of finding ROC in this case (except for determing stability/casuality)?
im just one of those dummies who want to make audio toys. and i got lost in under 30 seconds. i just want to know how to take an incoming signal and do something to it before it reaches the output.
You are correct, u[n] is the discrete-time version of the Heaviside function u(t), also called a step function. The Kronecker delta function is d[n] (with "d" representing the Greek lower-case "delta" letter) is the discrete-time version of the Dirac delta function d(t).
Thanks! Software includes Autodesk Sketchbook Pro for handwriting and drawing, TechSmith Snagit for capturing and editing still images and graphics, and Camtasia Studio also by TechSmith for video screen capture, editing, and production. I use a Wacom Cintiq pen display to operate Sketchbook Pro.
Allah razı olsun hacı abi
Suppose a signal is growing exponentially. We take its Z transform & find its ROC. So what are we supposed to do practically? Are we supposed to manipulate our O/P by multiplying any signal from ROC such that our O/P converges & system is stable? And what if our signal is exponentially decaying so whats the purpose of finding ROC in this case (except for determing stability/casuality)?
What if you had [-n - 2] instead of [-n - 1] for the Heaviside function?
Thank you professor, great quality material
u(n) is a heaviside, not a delta, right?
u r such great sir...thanku so much...from Nepal
Very helpful, well explained. Thanks.
Excellent. Nice refresher for me.
im just one of those dummies who want to make audio toys. and i got lost in under 30 seconds. i just want to know how to take an incoming signal and do something to it before it reaches the output.
well explained
Boss!
it help me.