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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, Fourier 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. Apply these techniques in detection, data compression, and image processing. Each student conducts simple computer simulations and exercises to illustrate and reinforce key concepts.

• Engineers, scientists, analysts, and technicians
• Technical personnel new to the field of signal processing and analysis
• Technical personnel seeking to refresh or strengthen previous signal processing skills

• 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 non-coherent 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

• 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

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).

Participants should be familiar with basic calculus, linear algebra, and complex numbers and arithmetic. Prior experience in MATLAB is not required.

• Dan Campbell
• Mark A. Richards

This course is an elective for the:

• Radar Signal Processing & Techniques Certificate
• Radar Systems Certificate