engineering

Ronald W. Schafer

Ronald W. Schafer is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ronald W. Schafer rather than just read about it. In short: Ronald W. Schafer (born February 17, 1938) is an American electrical engineer notable for his contributions to digital signal processing.

Key takeaways

Ronald W. Schafer belongs to engineering; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Ronald W. Schafer to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Ronald W. Schafer from memory before moving on to harder problems.

Reference excerpt

Ronald W. Schafer (born February 17, 1938) is an American electrical engineer notable for his contributions to digital signal processing. After receiving his Ph.D. degree at Massachusetts Institute of Technology in 1968, he joined the Acoustics Research Department at Bell Laboratories, where he did research on digital signal processing and digital speech coding. In 1974 he joined the Georgia Institute of Technology, where he became a professor in electrical engineering, until leaving to join Hewlett-Packard in March 2005. He has served as associate editor of IEEE Transactions on Acoustics, Speech, and Signal Processing and as vice-president and president of the IEEE Signal Processing Society. He is a Life Fellow of the IEEE and a Fellow of the Acoustical Society of America. He is also a member of the National Academy of Engineering in 1994 for research, teaching, and leadership in signal processing. He has received the IEEE Region 3 Outstanding Engineer Award, the 1980 IEEE Emanuel R. Piore Award, the Distinguished Professor Award at the Georgia Institute of Technology, the 1992 IEEE Education Medal and the 2010 IEEE Jack S. Kilby Signal Processing Medal.

Books Digital Signal Processing, A. V. Oppenheim, R. W. Schafer, Prentice Hall, 1975 Digital Processing of Speech Signals, L. Rabiner, R. W. Schafer, Pearson Education, 1978. Discrete-Time Signal Processing, A. V. Oppenheim, R. W. Schafer, Pearson, 2010. Computer-Based Exercises for Signal Processing Using MATLAB, J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W. Schafer, H. W. Schuessler, Prentice Hall, 1998 DSP First: A Multimedia Approach J. H. McClellan, R. W. Schafer, M. A. Yoder, Upper Saddle River, NJ: Prentice-Hall, Inc., 1998. Signal Processing First J. H. McClellan, R. W. Schafer, M. A. Yoder, Upper Saddle River, NJ: Prentice-Hall, Inc., 2003.

References

External links Hewlett-Packard press release on HP Fellow Ronald Schafer Publications from Google Scholar

Worked examples

Example 1 — a first encounter with Ronald W. Schafer

Start with the simplest possible case. Write down what Ronald W. Schafer claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ronald W. Schafer before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ronald W. Schafer ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ronald W. Schafer

In research: Ronald W. Schafer appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Ronald W. Schafer in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Ronald W. Schafer is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1938 births, American electrical engineers, Fellows of the Acoustical Society of America, so understanding it makes those chapters shorter.
In everyday life: Look for Ronald W. Schafer outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Ronald W. Schafer in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ronald W. Schafer means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Ronald W. Schafer out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ronald W. Schafer in simple terms?

Ronald W. Schafer (born February 17, 1938) is an American electrical engineer notable for his contributions to digital signal processing.

Why does Ronald W. Schafer matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ronald W. Schafer?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ronald W. Schafer.