Digital Signal
Processing The enormous speed available in even the smallest computers
has enabled evolution from analog to digital processing for many
electronics products. In this workshop, the applications and advantages of DSP are discussed, the underlying mathematical
principles are introduced and a number of relevant applications are
presented. Attendance at this course is recommended as a way of introducing
employees of those companies currently utilizing DSP
to the technology, as well as for managers of those companies tasked with
the introduction of DSP into their product
development methodology. This course is designed for engineers and managers
possessing at least minimal understanding of mathematics and electrical
engineering. At the completion of the workshop, the student will have a
basic understanding of the fundamentals of DSP,
how they are applied, and the insight to see how they apply to his own
products and services.
Note*
- While it is also recommended for Level I of the series, Discrete – Time Signal Processing, 2nd
Edition is a required text
for Level II and Level III. Please purchase this material to experience
the full benefits of the program.
Discrete – Time Signal Processing,
2nd Edition
Alan V.
Oppenheim, Ronald W. Schafer, John R. Buck
Prentice Hall, Pearson Education
ISBN-10 – 0 13 754920 2
ISBN-13 – 978 0 13 754920 7
Special Offer: Register
for all three levels of Digital Signal Processing and pay a specially reduced
fee of $1495
Course
Title: Digital Signal Processing - Level I
Fee: $325
The Program
- Signals and Systems
- Basic Fourier
Analysis
- Sampling and A/D
Conversion
- Signal Synthesis
- Definition of FFTs and IFFTs
- Principles of Time
Domain vs. Frequency Domain Signal Processing
- Filtering Concepts
- Principles of Detection
of Signals in Noise
- Simple Applications
including RF and Acoustic Signal Detection and
Classification
Who Should Attend? Corporate
Officers, Technical Managers, and Engineers who have not studied DSP or who are in need of a refresher.
Duration: 4 Hours
(1 Session)
Prerequisites:
Technical degree with some engineering background
Text:
Recommended - Discrete – Time
Signal Processing, 2nd Edition
Course
Title: Digital Signal Processing - Level II
Fee: $675
The Program
Level II
will cover all the topics in Level I including the underlying mathematics and
derivations of the processes. Many examples worked out in MATLAB
will be shown. Filter design will not be included at this level. The examples
used for illustration of the principles will be taken primarily from the fields
of Radar and Sonar.
- Signals and Systems
- Basic Fourier
Analysis
- Sampling and A/D
Conversion
- Signal Synthesis
- Antenna Design
- Definition of FFTs and IFFTs
- Principles of Time
Domain vs. Frequency Domain Signal Processing
- Filtering Concepts
- Principles of
Detection of Signals in Noise
- Simple Applications
including RF and Acoustic Signal Detection and
Classification
Who Should Attend? Managers
and Engineers who have not studied DSP or who are in
need of a refresher.
Duration: 12 Hours
(3 Sessions at 4 Hours Each)
Prerequisites: Level I
plus a technical degree with some engineering background
Text:
Required - Discrete – Time Signal
Processing, 2nd Edition
Course
Title: Digital Signal Processing - Level III
Fee: $675
The Program
Level III
will continue the explorations started in Level II. It will cover all the
topics in Level I and II with additional mathematics formalism. Examples worked
out in MATLAB will be shown. Mathematical techniques
used for antenna design will be explained, along with continuous time, discrete
time, and discrete time/frequency Fourier processing. Several different
approaches to Filter Design will be included at this Level. Hardware
implementations will also be introduced. The examples used for illustration of
the principles will be taken primarily from the fields of Radar and Sonar.
Signal detection will be covered with more emphasis on the real-time algorithms
and the statistical nature of the detection process including the concepts of
false alarm rate calculation and reduction
- Signals and Systems
- Basic Fourier
Analysis
- Sampling and A/D
Conversion
- Signal Synthesis
- Antenna Design
- Definition of FFTs and IFFTs
- Principles of Time
Domain vs. Frequency Domain Signal Processing
- Filtering and Filter Design Concepts
- Principles of
Detection of Signals in Noise
- Simple Applications
including RF and Acoustic Signal Detection and
Classification
Who Should Attend? Electronics
and Software Engineers who need to apply these principles to their products.
Duration: 12 Hours
(3 Sessions at 4 Hours Each)
Prerequisites: Level I
and Level II plus an engineering or mathematics degree.
Text:
Required - Discrete – Time Signal
Processing, 2nd Edition
To Register: For schedules and to register, please visit our website at: www.licet.org
For further information about this or any of our other courses, please
email; sbucet@stonybrook.edu