The data set project1.mat is a . The sampling frequency is 16 KHz.

The data set project1.mat is a .mat file (attached with this project) which contains two channel data labeled desired (d) and input (n). The sampling frequency is 16 KHz. The purpose of this project is to design and evaluate the performance of an adaptive filter using the normalized LMS algorithm (or one of its variants) that will clean the desired input (speech plus noise) from the machine noise (input). This is an example of the interference canceling problem. Please consult Chapter 5 of the book if you need further theoretical explanations about interference canceling. The project requires a report explaining the experimental procedures you followed and you must include data to support your conclusions. Please use the format of an IEEE Transactions paper (limited to 7 double column pages). This means you have to write a brief intro to the theory, explain well the methods and present carefully the results (see below) and conclude. Remember that any scientific paper should, by definition, contain sufficient information such others can replicate your results. A scientific paper must also contain ORIGINAL material only. If you happen to use text or equations from other source you have to reference what you cut and paste (this is not allowed in a normal publication, but here it is OK provide you reference). Of course, I expect the results to be done by the student alone. I would like to see in the report (at least) the following:Start with a 2-tap filter1-