Coen 1320 signals and systems spring-2013



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Prince Mohammad Bin Fahd University



COURSE SYLLABUS for

COEN_1320


skip navigation links SIGNALS AND SYSTEMS

Spring-2013


Ms : Yasmin Tauqeer Ansari

Name: Noof Al-suwidan

ID:200800579

Give example of random signal?

For example, images acquired with a medical imaging device always have noise. The

exact intensity values vary from image to image. They depend on many different factors

which are beyond our control, and which therefore cannot be reliably modeled. However,

what we may be able to reliably model is the average behavior of these signals. In other

words, if some averaging procedure is performed over a hundred images, perhaps it will

be possible to predict how the next hundred images will behave, on average. Once

we have a good probabilistic model, we could pose and solve various useful estimation

problems, in order to, e.g., remove noise and enhance the image quality.

why digital signals are more efficient than analog?

• Digital signals don’t suffer from noise and interference as badly as analogue signals

• Digital signals can be processed by computers very easily

• It’s easier to encrypt (scramble) digital signals than analogue signals so they are more secure



• Digital signals can be sent compressed and at much faster speeds. This means we can now have video phones as all the information for the image and voice can be sent quickly and efficiently. This wasn't possible when we only used analogue signals to send information.

Is there an analog computers if yes.why it is not common?

Yes there is, computer that represents data in terms of physical measures or quantities and proceeds along a continuum constituted by its components. Analog computers are especially suited for the solution of complex non-linear equations and for the simulation of multi-dimensional, parallel and continuous processes. There is no restriction on the physical processes analog computers may utilize. Most common media are fluids and gases which can be made to vary in numerous DIMENSIONs. Compared with digital COMPUTERs, the programming of analog computers is time consuming and limited in scope. (Krippendorff)

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