EE 411 Digital Signal Processing
|Please share your thoughts about whether to merge this page with Digital Signal Processing.
- Introduction to signals and systems
- Discrete and continuous signals
- sampling: a mathematical basis
- Fourier Series and Fourier Transforms
- Laplace Transforms
- DFT and IDFT
- FFT and IFFT
- FIR and IIR filters
- digital models of analogue filters
- Applications of DSP
Lecture plan edit
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.
Reference books edit
- DIGITAL SIGNAL PROCESSING BY John G.Proakis
- SIGNALS AND SYSTEMS BY Alan Oppenheim
Online resources edit
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To do edit
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?