Understanding Digital Signal Processing (DSP) - (formerly DSP Made Simple for Engineers)

Course 027

Greenbelt, MD	Oct 18-Oct 20, 2010
Course 027-4279	Presented by Rick Lyons
Register by 9/13/2010 and pay $1395, otherwise pay $1495
San Diego, CA	Mar 02-Mar 04, 2011
Course 027-4340	Presented by Rick Lyons
Register by 1/24/2011 and pay $1395, otherwise pay $1495

Request an onsite quote for this course

Summary:

This three-day course is the beginner's best opportunity to efficiently learn DSP. Intuitive, nonmathematical explanations and well-chosen examples develop the student's fundamental understanding of DSP theory. The practical aspects of signal processing techniques are stressed over discrete system theory. Participants will leave with a collection of tricks-of-the-trade used by DSP professionals to make their processing algorithms more efficient.

Learning Objectives:

Upon completing the course, the participant will be able to:

• Apply DSP techniques to real-world signal acquisition, spectral analysis, signal filtering, and quadrature processing problems.
• Fluently speak the language of DSP.
• Understand written descriptions (articles, application notes, textbooks) of common, practical DSP techniques.
• Obtain further DSP information using a comprehensive list of references.

Target Audience:

Practicing RF hardware engineers and technicians, and computer programmers seeking an understanding of DSP technical theory and algorithms will benefit from this course. The course does not cover the internal architecture of commercial DSP integrated circuits.

Outline:

Day One

Discrete Sequences and Systems
• Sequences and their notation • Processing operational symbols
Periodic Sampling
• Aliasing • Sampling low-pass signals • Sampling bandpass signals • Spectral inversion in bandpass sampling
Discrete Fourier Transform (DFT)
• Understanding the DFT equation • DFT properties • Inverse DFT • DFT leakage

Day Two

Discrete Fourier Transform (cont'd)
• Use of window functions • DFT results interpretation • DFT processing gain
Fast Fourier Transform (FFT)
• FFT's relationship to DFT • Guidelines on using FFTs in practice • FFT software availability
Quadrature Signals
• Math Notation of Quadrature Signals • Generating Quadrature Signals • Quadrature Processing Applications
Finite Impulse Response (FIR) Filters
• Introduction • Convolution • Half-band/Matched/Comb Filters • FIR Filter Design and Analysis Examples • Phase response

Day Three

Infinite Impulse Response (IIR) Filters
• Introduction • Laplace transforms • z-transforms • Design methods • Pitfalls in building IIR digital filters • Cascade and parallel combinations of digital filters • Comparison of IIR and FIR filters
Advanced Sampling Techniques
• Quadrature sampling • Quadrature sampling with digital mixing • Sample Rate Conversion (decimation & interpolation)

Subject Areas Covered

DSP Digital Signal Processing

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