EE 411 Digital Signal Processing

It is a course of Electronic engineering
  • Level 1
  • Term 1
Electronic engineering


DSP Theory:

  • Introduction to signals and systems
  • Discrete and continuous signals
  • sampling: a mathematical basis
  • Fourier Series and Fourier Transforms
  • Laplace Transforms
  • Z-Transforms
  • DFT and IDFT
  • FFT and IFFT
  • FIR and IIR filters
  • digital models of analogue filters
  • Applications of DSP

Lecture planEdit

Introduction to Signals and Systems Signals are defined as anything that convey information. The signals that we encounter in nature are analog signals. As an example temperature, pressure, seismic signals... Signals can be classified into analog signals and digital signals. Digital signals are obtained from analog signals by means of sampling, quantizing and encoding. The sampled signals are discrete in time but continuous in amplitude. To obtain digital signals which are discrete in time and discrete in amplitude, the sampled signals has to be quantized and encoded. Classification of signals 1. Continuous time and Discrete time signals 2. Even and Odd signals 3. Energy and Power signals 4.

Systems Signals are processed in a system. Systems are classified as 1. Linear or Non-linear systems. 2. Time variant and Time Invariant systems. 3. Causal and non-causal systems. 4. Stable and Unstable systems.

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To doEdit

Discrete and continous signals sampling: a mathmatical basis FIR and IIR filters DCT and FFT the Z plane converting between S and Z digital models of analogue filters

also DSP chips. Perhaps DSP chips should be a seperate module. It would be useful to have some information on DSP chips and multicore as thats the way things are going these days?

See alsoEdit

  Educational level: this is a tertiary (university) resource.
  Type classification: this resource is a course.
  Subject classification: this is an engineering resource.
  Completion status: this resource is a stub, which means that pretty much nothing has been done yet.