Signal Processing Refresher
Program ID: DEF 3521P
Program type: Short Courses (weekday)
CEUs: 1.85 |
Location/ (Accommodations) |
Program Administrator |
Start |
End |
Status |
Cost |
Georgia Tech Global Learning Center (Georgia Tech Hotel) |
Dr. Mark Richards |
March 30, 2010 |
April 1, 2010 |
 |
$1,495.00 |
Section ID: 10110/220410344
NOTES:
- -- On the first day, check in at least 30 minutes before the class start time.
- -- Discount available for companies that send 3 or more people to this course. Call 404-385-3501 to register your group.
- -- Georgia Tech employees should call 404-385-3501 to register by phone, and have their PeopleSoft number ready.
Meeting time(s): Tuesday, March 30, 2010 (8:30 AM-4:30 PM)
Wednesday, March 31, 2010 (8:30 AM-4:30 PM)
Thursday, April 1, 2010 (8:30 AM-4:30 PM)
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Georgia Tech Global Learning Center (Georgia Tech Hotel) |
Dr. Mark Richards |
November 16, 2010 |
November 18, 2010 |
 |
$1,495.00 |
Section ID: 10109/220411052
NOTES:
- -- On the first day, check in at least 30 minutes before the class start time.
- -- Discount available for companies that send 3 or more people to this course. Call 404-385-3501 to register your group.
- -- Georgia Tech employees should call 404-385-3501 to register by phone, and have their PeopleSoft number ready.
Meeting time(s): Tuesday, November 16, 2010 (8:30 AM-4:30 PM)
Wednesday, November 17, 2010 (8:30 AM-4:30 PM)
Thursday, November 18, 2010 (8:30 AM-4:30 PM)
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Course Description
Review basic techniques for representing and processing signals, emphasizing methods commonly used in sensor processing systems such as communications, radar, infrared systems, and electronic warfare. Understand continuous and discrete signals, transforms and the representation and properties of noise. Explore the important matched filter concept from multiple view points. Understand the basics of sampling, digital filtering, and spectrum analysis. Add these techniques in detection, data compression, and image processing.
This course helps prepare you for the following course:
Who Should Attend
- Engineers, scientists, analysts, and technicians
- Technical personnel new to the field
- Technical personnel seeking to refresh or strengthen existing signal processing skills
How You Will Benefit
- Learn Fourier representations for continuous and discrete signals
- Choose correct sampling rates to avoid aliasing artifacts
- Convert between normalized and analog frequencies
- Choose and understand the effects of data windows
- Choose the best method for finding the response of systems to various input signals
- Select and design FIR and IIR digital filters
- Understand the properties and effects of noise in signal processing systems
- Understand the basic concepts of threshold detection
- Predict the effects of coherent and noncoherent signal integration
- Design matched filters to maximize signal-to-noise ratio
- Select spectral analysis parameters for desired resolution and sidelobe levels
- Choose the most efficient algorithms for filtering and spectral analysis
- Survey applications such as detection, image processing, data compression, and radar
What You Will Cover
- Waveforms as Sinusoids
- Introduction to MATLAB
- Windowing
- Digital Representation of Signals
- Fourier Analysis of Sampled Data
- Continuous and Discrete LSI Systems
- Digital Filtering
- Noise
- Introduction to Detection
- Integration
- The Matched Filter
- Vector Representations
- Computational Complexity
- Image Processing Basics
- Introduction to Data Compression
Course Materials
Participants receive a hard copy and CD-ROM of the course viewgraphs and two books, Signal Processing First by J.
H. McClellan, R.W. Schafer, and M. A. Yoder (Pearson/Prentice-Hall, 2003) with a CD-ROM of MATLAB demonstrations, solved exercises, and other resources, and Understanding Digital Signal Processing by R.G. Lyons (Prentice-Hall, 2004).
Prerequisites
Basic integral calculus, linear algebra, and a familiarity with complex numbers and arithmetic.
Certificate
This course is an elective for the:
Instructors
Dan Campbell is a Senior Research Engineer of the Georgia Tech Research Institute's Sensors and Electromagnetic Applications Laboratory, and is a co-chair of the VSIPL forum. His research focus is on software infrastructure to improve the programmability of parallel computing systems, with an emphasis on inexpensive, high throughput platforms.
Mark A. Richards, a principal research engineer and adjunct professor in the School of Electrical and Computer Engineering, wrote Fundamentals of Radar Signal Processing (McGraw-Hill, 2005). He is researching radar imaging and embedded real-time signal processors and has 25 years of experience in radar-signal processing.
Course Administrator
For more information about this course or an offering at your location, contact the course administrator:
Mark Richards
404-894-2714
mark.richards@ece.gatech.edu
Course Location and Times
Atlanta, Georgia Tech Global Learning Center
8:30 a.m. to 4:30 p.m. Tuesday-Thursday
On the first day, check in at least 30 minutes before class start time.
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