Course Overview
Introduces the student to Digital Signal Processing techniques. Topics include: continuous and discrete time systems, z-transforms and Fast Fourier Transforms. In addition, the course includes the design and implementation of digital filters. A filter design package such as MatLab is used. The filter designed by the student on the package will be tested on a TMS320C6211 DSK board.
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- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
OVERVIEW
- Review how Digital Signal Processing has impacted the Telecommunications industry.
- Explain what is Digital Signal Processing.
- Discuss the advantages and disadvantages of DSP over analog techniques.
ANALOG TO DIGITAL - DIGITAL TO ANALOG CONVERSION TECHNIQUES
- Explain how an analog signal is transformed to the digital domain.
- Describe the Sampling Theorem as related to Digital Signal Processing.
- Explain the purpose and theory of a Sample and Hold.
- Discuss real world Analog to Digital converters.
- Explain how quantization errors affect the accuracy of DSP operations.
- Discuss various Digital to Analog methods that are prevalent in the industry.
FILTERS
- Various aspects and purposes of filters are discussed in this section.
- Describe what is a Filter and its applications in the telecommunications field.
- Explain and analyze the performance specifications of filters.
- Differentiate various Filter types, both Analog and Digital.
- Discuss the advantages and disadvantages of different filter types.
- Implement the realization of Digital Filters using various techniques.
- Use Matlab as a mathematical filter design and simulation tool.
INTRODUCTION OF Z-TRANSFORMS
- In this section the Z-transform is discussed.
- A basic review of Laplace is done.
- Various manipulations of Z-transforms are implemented.
- Both time and frequency inter-relationships are discussed.
PRACTICAL DIGITAL SIGNAL PROCESSING
- The hardware which is the backbone of the DSP process is discussed here.
- The different types of DSP hardware is explained.
- The advantages of Fixed or Floating point processors is entertained.
- Various other device constraints are discussed.
- The implementation of software design and coding is done.
FREQUENCY AND TIME DOMAIN
- Frequency and time domain applications of DSP are discussed here.
- A basic review of phasors is done.
- The Fourier transform is implemented.
- The Discrete Fourier Transform (DFT) is explained in digital terms.
- The advantages of the Fast Fourier Transform (FFT) over the DFT is explained.
OTHER DSP ASPECTS
- Various other facets of Digital Signal Processing are entertained here.
- Convolution as a mainstay of DSP is discussed.
- Uses of Correlation in the telecommunications field are explained.
Effective as of Fall 2006
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.