Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is ll known that the optimal symbol decision equalizer for noisy digital transmission channels is generally non-linear. A previous work demonstrated the performance of the so-called Kernel Adaline non-linear classifier in application to these channels, whilst pointing out that the Kernel Adaline is not an adaptive machine and thus would suffer in use on non-stationary channels. Here,  review Kernel-LMS, an adaptive extension of the Kernel Adaline, and introduce Fast Kernel-LMS, a low-complexity approximation to the same. The algorithm is augmented to implement decision feedback, and the performance of the fast algorithm in solving some synthetic non-stationary channel equalization problems is then investigated.
['Ben Mitchinson', 'Robert F. Harrison']
I am writing a research paper on a idea Adaptive kernel-based equalization for non-stationary digital communications channels
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive kernel-based equalization for non-stationary digital communications channels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is ll known that the optimal symbol decision equalizer for noisy digital transmission channels is generally non-linear. A previous work demonstrated the performance of the so-called Kernel Adaline non-linear classifier in application to these channels, whilst pointing out that the Kernel Adaline is not an adaptive machine and thus would suffer in use on non-stationary channels. Here,  review Kernel-LMS, an adaptive extension of the Kernel Adaline, and introduce Fast Kernel-LMS, a low-complexity approximation to the same. The algorithm is augmented to implement decision feedback, and the performance of the fast algorithm in solving some synthetic non-stationary channel equalization problems is then investigated."}]