Calculating and correcting bit errors using Hidden Markov Model in C++

I am a student and new to C++. It would be great if somebody could help me write a program. Here is what 开发者_运维百科it is suppose to do;

1- generates a Pseudo Random Bit Sequence (PN9 or PN15) 9 or 15 bit length. 2- saves the bit sequence from step 1 into a bit array/buffer and displays the array. 3- calculates the transition probabilities for 1. 0 --> 0 2. 0 --> 1 3. 1 --> 0 4. 1 --> 1 4- asks the user to input a bit sequence 5- introduces some noise.. i.e. flips some of the input bits 6- calculates and corrects the BIT errors based on the transition probabilities calculated in step-3

can any body guide or share his work with me on this?

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You'll probably find many of the functions in the GNU Scientific Library (GSL) useful for your work. Apart from that, you'll have to do some work and then ask a specific question to get guidance.