Digital Signal Processing ELEX 3535

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.
• Discuss practical applications of DSP.
• Explain basic statistics: Mean, Average, Mode, Median, Standard Deviation, Variance and applications.
• Explain auto-correlation and cross-correlation.

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-TRANSOFRMS

• 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 Winter 2012