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Digital Signal Processing (DSP

 
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. Digital Signal Processing (DSP) 
DSP is the mathematics, the algorithms, and the techniques used to manipulate  signals after they have been converted into a digital form.  In the early 1980s, DSP was taught as a graduate level course in electrical engineering.  A decade later, DSP became a standard part of the undergraduate curriculum and a basic skill needed by scientists and engineers.  This subject includes a wide variety of sub-subjects, such as:

a)    Speech Recognition,

b)    Speech Synthesis,

c)    Speech signal compression and coding.

d)    Digital Images Recognition,

e)    and Digital Image coding and enhancement.

 

DSP is a prerequisite of many subjects such as:

a)    Telecommunication,

b)    Automatic Control,

c)    and Computer Applications.


 

2.   Object Oriented Programming

    OOP is a programming technique that has evolved to make computer programs more closely model the real world.  The course is taught in both undergraduate and postgraduate levels.

3.     Artificial Neural Networks          

4.     Human Computer Interaction.

5.  Digital and Virtual Libraries

 

 

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