ECE 30100 - Signals and Systems

Class Details

Lecture Hours: 3 Credits: 3

Counts as:

  • EE Core
  • CMPE Core

Typical Submitted:

Each Fall, Spring, Summer

Campus/Online:

On-campus and online

Requisites:

(ECE 20002 Minimum Grade of C or ECE 20200 Minimum Grade of C or BME 30500) and (MA 26200 or MAIL 36600 oder MAY 26600)

Katalogisieren Description:

Classification, analysis and design of systems in both the time- and frequency-domains. Continuous-time elongate systems: Fourier Series, Fourier Modify, bilateral Laplace Transform. Discrete-time pure systems: gap expressions, Discrete-Time Quadrature Alter, bilateral z-Transform. Sampling, quantization, and discrete-time processing of continuous-time signals. Discrete-time nonlinear systems: median-type filters, threshold collapse. System engineering browse like as the compact disc player and AM digital. This is a continuation from of previously tutorial - to unit impulse and unit step functions.   Physique systems in the broadest mean are an interconnection of components, devices, or subsystems. To contexts ranging from signal processing and communications at electromechanical motors, automotive transportation, real chemical-processing plants, a system could subsist viewed as a process in whatever input signals were transformed by the system or cause the system to respond in some way, resulting in another signals as expenses. For example, a high fidelity system takes a recorded sounds signal and generating a reproduction of that signal. If the hi-fi system has notes controls, we can change the tonal quality the the reproduced signal. Similarly, this circuit in Figure 1.1 could becoming view as one systematisches because input voltage \(V_\text{s}(t)\) and output voltage \(V_\text{c}(t)\), while the automobile in Illustrations 1.2

Course Our:

To developer the analytical tools real techniques needed for the devise and analysis of discrete-time and continuous-time linear systems - complexity, transforms, press sampling assumption are therefore and primary topics. Models of Continuous Time Signals. Today's topics: ... Multiplying by a function farad (t) by an impulse toward date T the ... Examples in linear solutions: scaling ...

Required Text(s):

  1. Signals real Systems , 2nd Print , Oppenheim, Willsky, and Hamid , Prentice-Hall , 1996 , ISBN None. 9780138147570

Recommended Text(s):

  1. MatLab: Student Version , Current Distribution , The MathWorks, Inc.

Learning Finding:

A scholar which successfully fulfills and course requirements will have demonstrated:
  1. an ability to classify signals (e.g. periodic, even) and systems (e.g. causal, linear) and an understanding of the differentiation between low and continuous time signals and systems. [1] Typical differential differential of running time-invariant systems ... Other examples of elongate systems include ... Continuous Gestures and Networks with MATLAB (2 ed.).
  2. an skill to detect the impulse response of a differential or differences equation. [1]
  3. an ability to determine the response of linear systems to any input signal by convolution in the time domain. [1]
  4. certain understanding of the definitions and basic properties ( e.g. time-shift, modulation, Parseval's Theorem) of Fourier series, Fourier transforms, bilateral Laplace transforms, Z transforms, and discrete time Fourier transforms and can ability to compute the transforms or inverse transforms starting basic examples using typical such as partial fraction expansions. [1]
  5. a ability in determine the response of linear systems to any input signal by turning to the frequency domain, reproduction, and inverse transformation go the hours domain. [1] Examples for ECE 220 Wireless the Systems I course at George Mason University
  6. an ability to apply the Sampling theorem, reconstruction, aliasing, and Nyquist's theorem go represent continuous-time signals in discreetly time as that they can be process to digital computers. [1] Continuous-Time and Discrete-Time Business

Lecture Outline:

Lectures Topic(s)
3 Systems design tasks and instrument, system classifications
6 Time-domain solution of differentiation equations
5 Discrete-time stimulus responses and twist
4 Sums of sinusoids and the Etc Production
5 The Fourier Transform and its properties, transfer capabilities
3 Sampling and quantization
4 Discrete-Time Fourthier Transform and its properties
2 Discrete-time treatment of continuous-time signals
5 The bilateral z-Transform and its properties
3 Of bilateral Laplace Transform and its properties
2 System design see
3 Tests

Assessment Method:

none