Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
Turbo Coding and MAP Decoding  Example
1
Intuitive Guide to Principles of Communications www.complextoreal.com
Turbo decoding using the M AP algorithm
Part 2 A Step by step example
EC1
uk
y1, p k
y1, s k
EC2
2 yk , p 2 yk , s
Figure 1 A rate 1/3 PCCC Tur
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
Turbo Coding and MAP Decoding
1
Intuitive Guide to Principles of Communications www.complextoreal.com
Turbo Coding and MAP decoding  Part 1
Bayes Theorem of conditional probabilities Lets first state the theorem of conditional probability, also called th
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
SIGNAL PROCESSING & SIMULATION NEWSLETTER
TUTORIAL 3
DVBS Standard in a nut shell
Developed by the European Telecommunication Standard Organization (part of ITU), the DVBS is a standard for satellite video broadcasting. This description is a summary of
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
SIGNAL PROCESSING & SIMULATION NEWSLETTER
Note: This is not a particularly interesting topic for anyone other than those who are involved in simulation. So if you have difficulty with this issue, you may safely stop reading after page 5 without feeling gu
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
Tutorial 16 By Charan Langton
Signal Processing and Simulation Newsletter
Partial Response signaling and Quadrature Partial Response (QPR) modulation Nyquist limit states that the number of symbols you can safely transmit in a channel of bandwidth 1 Hz th
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
SIGNAL PROCESSING & SIMULATION NEWSLETTER
Discrete Fourier Transform (DFT) and the FFT
Lets take this continuos signal composed of three sinusoids.
Assume that fa = 1, fb = 3, and fc = 5. The waveform is plotted below.
Figure 1  A signal representing a s
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
SIGNAL PROCESSING & SIMULATION NEWSLETTER
TUTORIAL 2  Differential Encoding
One of the common difficulties in communications engineering is that often the same terms are used to represent different ideas. Differential Encoding is one such term. We will d
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
CDMA Tutorial
1
Intuitive Guide to Principles of Communications www.complextoreal.com
Code Division Multiple Access (CDMA)
The Concept of signal spreading and its uses in communications Lets take a stright forward binary signal of symbol rate 2.
Figure 1
Birla Institute of Technology & Science, Pilani  Hyderabad
Tutorials
EE 567

Spring 2011
Charan Langton, Editor
SIGNAL PROCESSING & SIMULATION NEWSLETTER
Baseband, Passband Signals and Amplitude Modulation
.
The most salient feature of information signals is that they are generally low frequency. Sometimes this is due to the nature of data it