Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty,  propose a new cost function which caters for the ambiguous por levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.
['Wei Liu', 'Danilo P. Mandic', 'Andrzej Cichocki']
I am writing a research paper on a idea A class of novel blind source extraction algorithms based on a linear predictor
[{"from": "human", "value": "I am writing a research paper on a idea A class of novel blind source extraction algorithms based on a linear predictor"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty,  propose a new cost function which caters for the ambiguous por levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms."}]