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Course
Description
Digital Signal Processing (DSP) is aimed at Engineers and technicians who would like to gain an understanding and know the application areas of the DSP technology. The integration of DSP software and hardware into products across a wide range of industries has necessitated the
understanding and application area of DSP by engineers and technicians. This course emphasizes on the practical aspects of DSP, implementation issues, tips, tricks and pitfalls and practical applications.
Duration
2 days
Why
this training pays huge dividends
After completing this training, you will be able to:
- A clear understanding of Digital Signal Processing (DSP)
- Benefits and application of DSP technology to improve efficiency
- Frequency analysis of signals and the application of this knowledge
- Information about the actual design of digital filters
- Analysis of the performance of DSP systems
- Identification of the key issues in designing a DSP system
- An understanding of the features and capabilities of commercial DSP applications
- Current DSP technology
Who Should Attend
Engineers with a working knowledge of DSP applications who desire to gain a
firmer theoretical foundation, as well as those desiring a good foundation in realtime
DSP applications and theory, can benefit from this course. It is of particular
value to System Engineers and Designers who wish to reduce their development
time and product costs.
- Communications System Engineers
- Control System Engineers
- Instrumentation Engineers
- Design Engineers
- Electrical and Electronics Engineers & Technicians
- Condition Monitoring Engineers & Technicians
Course Outline
Introduction
- Terminology and motivation
- A typical DSP system
- Some current application areas
Digital-To-Analog & Analog-To-Digital Conversion
- Periodic sampling and aliasing
- Digital to analog converters
- Analog reconstruction
- Analog to digital converters
Discrete Signals and Systems
- Discrete-time signals: notation and representation
- Classification of discrete systems
- The concept of impulse response & Convolution
- Autocorrelation and cross-correlation of signals
FIR Digital Filter Design
- Characteristics of FI300R filters
- Design methods & examples
IIR Digital Filter Design
- Review of classical filter approximation techniques
- Characteristics of IIR filters
- Design methods & examples
Digital Filter Realizations
- Direct form
- Hardware realizations
- Quantization effects
Frequency Analysis of Discrete Signals
- Fourier series for periodic signals
- Discrete Fourier Transform (DFT) for non-periodic signals DFT properties
- The Inverse DFT
- The Fast Fourier Transform (FFT)
- Frequency analysis of discrete signals: use of windows and DFT results interpretation
- Fast computation of convolution using DFT
- Other related transforms
DSP Application Examples
- Digital waveform generators
- Speech modeling and synthesis
- Noise reduction and signal enhancement
- Image restoration
- Communications system
Commercial DSP Hardware
- Architectural difference between DSP chips and general purpose microprocessors
- Texas InstrumentTMS320 family
- Choosing a DSP architecture
- DSP trends
Practical Tools for DSP System Development
- Simulation tools for algorithm development
- Software development tools
Practical Hands-on Session
Q & A Session
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