ECET 33700 - Analog Signal Processing

Credit Hours: 3.00.

This advanced course in analog circuit analysis stresses network theorems and solutions of time and frequency domain problems. Transform circuit and signal analyses, using Laplace and Fourier techniques, are applied in active filter design. Software tools are employed to solve mathematical problems.

Learning Objectives:

1. Identify, calculate and plot standard types of electronic signals.

2. Analyze and recognize the output response of first-order and second-order circuits with regards to resonance, damping and stability.

3. Analyze first and second order circuits in the time domain and the frequency domain.

4. Apply the principles of Fourier series and transforms to filter analysis and harmonic distortion.

5. Design active filters and implement the design using synthesis by equating coefficients.

6. Determine frequency domain functions from time domain functions (Laplace transforms).

7. Determine time domain functions from frequency domain functions (Inverse Laplace transforms).

8. Use Laplace transforms to analyze passive and active circuits in the time domain (transient analysis) and in the frequency (Laplace) domain.

9. Evaluate the performance of circuits using standard laboratory measurements and simulations.

Prerequisites:

ECET 27700 Minimum Grade of D- and

(MA 22200 Minimum Grade of D- or

MA 22800 Minimum Grade of D- or

MA 22400 Minimum Grade of D- or

MA 16200 Minimum Grade of D- or

MA 16600 Minimum Grade of D- or

MA 23000 Minimum Grade of D- or

MATH M1200 Minimum Grade of D- or

MATH M2090 Minimum Grade of D- or

MATH M2160 Minimum Grade of D-)

Restrictions:

Must be enrolled in Electrical Engineering Technology

Audiences