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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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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.
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
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