ENGR3721 Signal Processing

Ideal filters, cascade design, frequency and magnitude scaling, lowpass to highpass, bandpass, bandstop transformations, analog Butterworth and Chebyshev filter design. z-transform, Fast Fourier Transform, fast correlation and convolution, oversampling, spectrum estimation and analysis, windowing, FIR and IIR filter design, applications and case studies.

Signal processing is fundamental to all areas of engineering and underpins communication, medicine, defence, security, the entertainment industry, and nearly every aspect of modern life. These applications require precise implementation of engineering based on fundamental principles. The educational aim is to provide understanding of concepts in signal processing, how the theoretical framework impacts and resolves the details of practical application.

1. Design and implement analog and digital filters according to specifications
2. Specify circuit requirements for signal processing applications
3. Understand concepts, techniques, and circuits for analog and digital signal processing
4. Understand the mathematical and practical connections between analog and discrete signal processing
5. Understand and deal with the limitations of various linear and nonlinear analog and digital circuits and devices
6. Use MATLAB and/or other computer development tools for signal processing analysis, simulation, study, and research
7. Implement signal processing algorithms in dedicated Digital Signal Processors for practical applications