Download presentation

Presentation is loading. Please wait.

Published byMckenna Williams Modified over 2 years ago

1
Signal Basics ELEC 309 Prof. Siripong Potisuk

2
What is a function? A rule of correspondence that maps or assigns to each element (x) of a given set A a uniquely determined element (y) of another set B f: A B (f maps A into B) Domain of f = set of all xs Range of f = set of all ys

3
The Usual Notation y = f(x) A single x cannot be mapped or assigned to more than one y Multiple xs can be assigned to a single y Elements of Domain = independent variable(s) Elements of Range = dependent variable

4
Signal A function of independent variables such as time, distance, position, etc. One-dimensional signal : speech, audio, music, ECG, seismic, time series Two-dimensional signal : image Three-dimensional signal : video

9
Mode Classification of Signal Continuous-time Signal defined at every instant of time, i.e., the independent variable is continuous Discrete-time Signal defined at discrete instants of time, i.e., the independent variable is discrete undefined between sampling instances

10
Continuous-time Signals Continuous-time, continuous-valued amplitude (Analog signal) mathematically represented by a continuum of points in both the independent and dependent variables a finite number of amplitude discontinuities allowed Continuous-time, discrete-valued amplitude (quantized boxcar signal)

11
Discrete-time Signals Discrete-time, continuous-valued amplitude (sampled-data signal) Discrete-time, discrete-valued amplitude (digital signal) In practice, we work with digital signals

13
Quantization & Encoding

14
Mathematical Representation x(t) represents a CT signal whose amplitude varies continuously with time (analog signal). x[n] represents a DT signal, i.e., a sequence of numbers defined only on integer values of n (undefined for noninteger values of n) Each number x[n] is called a sample x[n] may be a sample from an analog signal x d [n] = x a (nT s ), where T s = sampling period

15
Signal Processing Extract useful information carried by the signal Concerned with the mathematical representation of the signal and the algorithmic operation carried out on it to extract the information present

16
Typical Signal Processing Operations Addition/multiplication Amplification/attenuation Integration/differentiation Delay/advance Modulation/demodulation Multiplexing/demultiplexing filtering

17
Typical Signal Processing Applications Audio Processing (noise reduction, equalization, special effects) Echo cancellation in telephone networks Speech Processing (recognition, synthesis, compression, enhancement) Image Processing (compression, recognition) Biomedical Signal Processing (tomography) Feedback control Systems (a stabilizer, fuel injection)

18
Block Diagram of a Communication System

Similar presentations

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google