Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An adaptive method for suppressing interference with an unknown model is presented. The method is based on computation of several transforms in parallel and selecting the most suitable one depending on a priori unknown the interference type based on a compression gain (CG) metric, which is related to the interference concentration in the transform domain. It is also possible to estimate the a priori parameters required by some transforms. The method can be expanded to utilize an arbitrary number of transforms. It is shown through computer simulations that the CG is a good metric for choosing the proper domain for interference excision.
['Sami Aromaa', 'Pertti Henttu', 'Markku J. Juntti']
I am writing a research paper on a idea Transform-selective interference suppression algorithm for spread-spectrum communications
[{"from": "human", "value": "I am writing a research paper on a idea Transform-selective interference suppression algorithm for spread-spectrum communications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An adaptive method for suppressing interference with an unknown model is presented. The method is based on computation of several transforms in parallel and selecting the most suitable one depending on a priori unknown the interference type based on a compression gain (CG) metric, which is related to the interference concentration in the transform domain. It is also possible to estimate the a priori parameters required by some transforms. The method can be expanded to utilize an arbitrary number of transforms. It is shown through computer simulations that the CG is a good metric for choosing the proper domain for interference excision."}]