DSP: Digital Signal Processing

Course No. 199

(Course Outline shown below.)

For Whom Intended  Digital signal processing (DSP) is one of the fastest-changing fields in modern electronics. Individuals who obtained their education and training just a few years ago, need their skills updated to prepare for the continuing explosion of DSP technology. The course is applicable to technicians and engineers employed in a wide range of industries.

Brief Course Description  This course is an introduction to DSP concepts and implementation. It starts by explaining the need for digital signal processing and DSP systems. A complete model of a DSP system is examined from the input transducer, through all the stages including: signal conditioning, anti-aliasing filter, analog-to-digital and digital-to-analog conversion, output smoothing filter, and output transducers. Real life examples will be used to illustrate the use and need for each part of a DSP system.

Understanding how numbers are processed in a DSP application is key in their use and application. All the key areas needed to understand number processing are covered in this course.

Correct acquisition of the signal is absolutely necessary for proper use of digital signal processing. Sampling theory, sample resolution and anti-aliasing filters are explored with real examples to illustrate this important area of DSP.

Application examples are examined to give the student a good understanding of what's needed to apply DSP techniques to new areas. DSP tools are demonstrated to illustrate the tools available needed to apply DSP techniques.

The instructor covers the how, where, why and when of DSP applications. Electronics are rapidly changing the way DSP is applied and the techniques used to solve problems. Successful completion of this course will assist the participants to apply the latest techniques to their everyday projects.

Certificate Programs  This course is a required course for TTi’s Instrumentation Test Specialist Certificate (see http://www.ttiedu.com/certprog.html#its) and may be used as an elective for TTi’s other certificate programs (see http://www.ttiedu.com/certprog.html).

Prerequisites  There are no definite prerequisites, but participation in TTi’s courses Instrumentation for Test and Measurement (http://www.ttiedu.com/163cat.html) or Instrumentation for Electrical Test and Measurement (http://www.ttiedu.com/164cat.html) would be helpful.

Text  Each student will receive a course workbook, including most of the viewgraphs used in the course presentation.

Course Hours, Certificate and CEUs  Open courses meet seven hours per day. Upcoming presentation dates can be found on our current open course schedule (http://www.ttiedu.com/schedule.html). Class hours/days for on-site courses can vary from 14-35 hours over 2-5 days as requested by our clients. Upon successful course completion, each participant receives a certificate of completion and one Continuing Education Unit (CEU) for every ten class hours.

Course Outline No. 199

• Digital Signal Processing and DSP Systems
  • Need for DSP
  • Advantages of DSP
  • Characteristics of DSP Systems
• A Model of a DSP System
  • Input
  • Signal Conditioning
  • Anti-Aliasing Filters (download TTi’s Aliasing Demonstration program from http://www.ttiedu.com/ddaa-articles.html#demos)
  • Analog-to-Digital Converter
  • Processor
  • Digital-to-Analog Converter
  • Output Smoothing Filter
  • Output Transducer
  • DSP Processors
  • DSP Format Types
  • Alternative Formats for Commercial DSP Processors
• How Numbers are processed in a DSP
  • Polynomials
  • Transcendental Functions
  • Series Expansions
  • Limits
  • Integration
  • Oscillatory Motion
  • Complex Numbers
• Acquisition of the Signal
  • Sampling Theory
  • Sampling Resolution
  • Aliasing (download TTi’s Aliasing Demonstration program from http://www.ttiedu.com/ddaa-articles.html#demos)
  • Reconstruction
• Application Examples — Filters
  • Filtering
  • Sample Filter
  • Types of Filters
    • Bessel
    • Butterworth
    • Elipical
• Fourier Series
  • Insights to be gained from Fourier Series
  • Fourier Series
  • Nyquist Frequency
• Orthogonality and Quadrature
  • Orthogonality — Basic Building Blocks of DSP
  • Quadrature — Signals 90 degrees out of phase with each other
• Transforms
  • The Z-Transform
  • DFT — Discrete Fourier Transform
  • Laplace Transform
• Finite Impulse Response Filter — FIR
  • What is it?
  • Stability
  • Cost
  • Design Methodology
  • Design Examples
  • Convolution
• Infinite Impulse Response Filter — IIR
  • What is it?
  • Stability
  • Cost
  • Design Methodology
  • Design Examples
• DSP Tools
  • Programming Languages
  • Mathematical Tools
  • Special Purpose Tools
  • Development Packages
• DSP and the Future
  • New Uses
  • DSP Directions
  • Future Technologies
• Summary, Final Quiz
• Award of Certificates for Successful Completion

For schedules, enrollment information and more, visit http://www.ttiedu.com.