The current focus of our Blind Source Separation (BSS) topic is to implement a hardware version of several existing algorithms for performance comparison. Specifically, we are working towards an FPGA implementation. FPGA stands for Field Programmable Gate Array, and an FPGA implementation is one of the most optimal in terms of speed. Hardware implementation performance results will be presented in the thesis for this topic. Below is an example of an FPGA development board which we may use to implement the BSS algorithms of interest.
Blind Source Separation (BSS) is a technique for estimating a set of source signals without prior information about those signals, given a mixture of those signals.
The idea of separating source signals given a mixture of signals is so general and broad that the applications of BSS algorithms are numerous.