EE 411 Digital Signal Processing
Please share your thoughts about whether to merge this page with Digital Signal Processing. 



SyllabusEdit
DSP Theory:
 Introduction to signals and systems
 Discrete and continuous signals
 sampling: a mathematical basis
 Fourier Series and Fourier Transforms
 Laplace Transforms
 ZTransforms
 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 Nonlinear systems. 2. Time variant and Time Invariant systems. 3. Causal and noncausal systems. 4. Stable and Unstable systems.
Reference booksEdit
 DIGITAL SIGNAL PROCESSING BY John G.Proakis
 SIGNALS AND SYSTEMS BY Alan Oppenheim
Online resourcesEdit
Learning projectsEdit
Research projectsEdit
NewsEdit
Wikiversity activitiesEdit
Active participantsEdit
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. 