Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The error estimate is useful in the application of the sampling theorem. For the classical Shannon sampling theorem, various errors are widely studied, but for the sampling theorem in general wavelet subspaces, only the aliasing error is studied. ,  study three other errors: truncation error, amplitude error, and time-jitter error. With the same technique, a result on irregular sampling is improved.
['Wenchang Sun', 'Xingwei Zhou']
I am writing a research paper on a idea Sampling theorem for wavelet subspaces: error estimate and irregular sampling
[{"from": "human", "value": "I am writing a research paper on a idea Sampling theorem for wavelet subspaces: error estimate and irregular sampling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The error estimate is useful in the application of the sampling theorem. For the classical Shannon sampling theorem, various errors are widely studied, but for the sampling theorem in general wavelet subspaces, only the aliasing error is studied. ,  study three other errors: truncation error, amplitude error, and time-jitter error. With the same technique, a result on irregular sampling is improved."}]