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Digital Signal Processing
is one of the most powerful technologies that will shape science and engineering
in the twenty-first century. Revolutionary changes have already been made in a broad
range of fields: Communications, medical imaging, radar & sonar, high fidelity
music Reproduction, and oil prospecting, to name just a few. Each of these areas
has developed a deep DSP technology, with its own algorithms, Mathematics, and specialized
techniques. This combination of breath and depth makes it impossible for any one
individual to master all of the DSP technology that has been developed. DSP education
involves two tasks: learning general concepts that apply to the field as a whole,
and learning specialized techniques for your particular area of interest. |
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Digital Signal Processing is distinguished from other areas in computer science
by the unique type of data it uses: signals. In most cases, these signals originate
as sensory data from the real world i.e seismic vibrations, visual images, sound
waves, etc. DSP is the mathematics, the algorithms, and the techniques used to manipulate
these signals after they have been converted into a digital form. This includes
a wide variety of goals, such as: enhancement of visual images, recognition and
generation of speech, compression of data for storage and transmission, etc.
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