Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The performance and complexity of blind algorithms in a digital receiver is dependent on the prefilter prior to discretization of the received continuous time signal and the sampling rate.  shows that symbol spaced blind equalization algorithms are in general sub-optimal, since a matched filter cannot be used.  show that, for fractionally spaced equalizers, the prefilter can be a general low-pass filter and does not need to be matched to the unknown channel. This flexibility on choosing the prefilter can result in different discrete time models with different complexities for the signal processing algorithms to follow. As for example, a simpler whitening filter design which is needed for the success of several important blind equalization algorithms can be realized using this flexibility.
['Rodney A. Kennedy', 'Deva K. Borah', 'Zhi Ding']
I am writing a research paper on a idea Discretization issues for the design of optimal blind algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Discretization issues for the design of optimal blind algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The performance and complexity of blind algorithms in a digital receiver is dependent on the prefilter prior to discretization of the received continuous time signal and the sampling rate.  shows that symbol spaced blind equalization algorithms are in general sub-optimal, since a matched filter cannot be used.  show that, for fractionally spaced equalizers, the prefilter can be a general low-pass filter and does not need to be matched to the unknown channel. This flexibility on choosing the prefilter can result in different discrete time models with different complexities for the signal processing algorithms to follow. As for example, a simpler whitening filter design which is needed for the success of several important blind equalization algorithms can be realized using this flexibility."}]