What is Digital Signal Processing?
The world of science and engineering is
filled with signals: images from remote space probes, voltages generated
by the heart and brain, radar and sonar echoes, seismic vibrations, and
countless other applications. Digital Signal Processing is the science of using
computers to understand these types of data. This includes a wide variety of
goals: filtering, speech recognition, image enhancement, data compression,
neural networks, and much more. DSP is one of the most powerful technologies
that will shape science and engineering in the twenty-first century. Suppose we
attach an analog-to-digital converter to a computer, and then use it to acquire
a chunk of real world data. DSP answers the question: What next?
Some good reasons for learning DSP
It's the future!
Think how electronics has changed the world in the last 50 years. DSP will have
the same role over the next 50 years. Learn it or be left behind!
DSP can snatch success from the jaws of failure
A three step approach in explaining concepts
Explain the concept in words; present the mathematics; show how it is used in a
computer program. If one doesn't make sense, maybe the other two will help.
Digital Filters: simple to implement, incredible performance!
...and the best reason for learning DSP:
Your competition knows DSP
Jobs, promotions, grant money, product sales; we are all in competition.
Up-to-date technologies can make the difference- and DSP is one of most
Digital signal processing, a discipline that spans
electrical engineering, computing, mathematics and the physical sciences,
includes applications such as:
- Image processing
- Neural networks
- Pattern recognition
- Digital communications
- Biomedical applications
- Speech processing
- Underwater acoustics
- Radar signal processing
- Geophysical data analysis