Practical Digital Signal Processing - Concepts & Applications		Request for a brochure
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Course Highlights:
This three-day course is the beginner's best opportunity to efficiently learn DSP. Intuitive, nonmathematical explanations and well-chosen examples develop a strong fundamental understanding of DSP theory. The aim of this three day intensive course is to provide a comprehensive understanding of the techniques of signal processing with particular emphasis on the practical aspects of the subject.

Objective of the course:
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.
• Build a strong foundation and speak the language of DSP fluently.
• Understand written descriptions (articles, application notes, textbooks) of common, practical DSP techniques.
• Obtain market knowledge of useful DSP tools available

Who Should Attend:
The course will be of value to those wishing to acquire a basic practical understanding of the techniques of signal processing. 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. No prior knowledge of the subject is required. 

Course Outline:

Day One

INTRODUCTION
• DSP Basics – Learn the right way 1st!
• Practical Limitations
• Current applications, trends & developments

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
Review of Popular Commercial DSP Tools  
• Advantages & Disadvantages
Practical Tips & Pitfalls