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