There are many ways one can view the performance of a linear detector. Perhaps the most widely used is the achieved Minimum Mean Squared Error(MMSE). But there are also measures such as the achieved system impulse and frequency response, squared output error, bit error rate, etc. Also there are graphical measures such as constellation diagrams and eye diagrams which show the performance of the receiver. Linear detectors have the undesirable property of causing noise amplification, which can also be used as a performance measure. I have chosen Squared Error (SE) and MMSE as the main performance measurements. By overlaying plots of SE and MMSE, it is easy to compare different linear detectors. Both eye diagrams and constellation diagrams have been provided in the software as well. However, overlaying these types of plots does not prove to be very informative due to clutter. For this reason, these plots are generated separately for each linear detector.
I have not chosen to implement the noise gain value, however it is mentioned as an upgrade option in section 4.2. Details and examples of the other performance measures are discussed in section 4.3.