Data Detect Challenge

You may all have noticed that we are, today, deluged by Noise. Real, valuable, data is often hidden away or submerged in this noise overload. OK, this sounds like Social Networks or Mainstream Media, but this is also true at the digital communication technology level!
All those bits traveling over your Cellular/WiFi network get corrupted by noise. On top of it, delayed and attenuated copies of the transmit signal interfere with each other. Do you have what it takes to sift through signals and noise and extract the data within? Then here's a contest for you!
We will present to you sets of received signal samples, each containing a hidden message. Your challenge will be to find the hidden message using standard communication techniques or more importantly common sense!

!! Grand prizes await the winners !!

The winners will be announced on Saturday, December 10, 2016 during the Computational Intelligence Technology Expo and collaboration Hotspot(CITECH)) event at the DST Auditorium University of Hyderabad, Hyderabad. Certificates for every entry submitted.
General Instructions:
1. A basic knowledge of Digital Communications will help. You may refer to standard texts on Digital Communications by various authors such as Simon Haykin, John Proakis and Lee, Messerschmitt & Barry. More important than any of these references is a healthy dose of common sense!
2. You can use any programming language of your choice to detect the hidden messages. Common ones widely used in the Communications and DSP industry are Matlab/Octave, Python and C/C++.
3. This contest is open to all undergraduate and post-graduate students i.e. Bachelor’s/Master’s/PhD students
4. To get detailed instructions, the data files for each level and the solution upload instructions, it is mandatory to register via the following form

https://docs.google.com/forms/d/e/1FAIpQLSdv-u0s1HNZqdqjlT3cBe-_zQBQ-qBD2kHM5l7JVW6hEtvqvA/viewform

5. Deadline for Submission of Contest Solution: December 6, 2016, 5:00pm
Contact: comsocSPhyd@gmail.com (preferred) or
Dr. Kasyapa Balemarthy (kasyapa@gmail.com) or
Prof. G.V.V. Sharma (gadepalli@iith.ac.in)