DSP Made Simple for Engineers
Course 027
| San Jose, CA | Mar 17-Mar 19, 2010 |
| Course 027-4238 | Presented by Rick Lyons |
Register by 2/19/2010 and pay $1395, otherwise pay $1495  | |
| Burlington, MA | May 19-May 21, 2010 |
| Course 027-4239 | Presented by Rick Lyons |
| Register by 4/12/2010 and pay $1395, otherwise pay $1495 | |
| 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 | |
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 ProcessingCheck the above links for other courses that may interest you based on subject matter.
