Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new signal de-noising algorithm using wavelets.  have developed a filtering scheme in the wavelet domain, that involves selective smoothing at each scale of the time-frequency plot. The amount of smoothing is controlled by regularizing factors, and gradient-based switches are used to avoid distortion of signal features. The algorithm is seen to compare favorably to that of Mallat et al. (1992), as it is able to recover both the smooth portions as ll as Brownian texture in the input, from the noisy signal.
['A. Sony John', 'Uday B. Desai']
I am writing a research paper on a idea Signal de-noising using the wavelet transform and regularization
[{"from": "human", "value": "I am writing a research paper on a idea Signal de-noising using the wavelet transform and regularization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new signal de-noising algorithm using wavelets.  have developed a filtering scheme in the wavelet domain, that involves selective smoothing at each scale of the time-frequency plot. The amount of smoothing is controlled by regularizing factors, and gradient-based switches are used to avoid distortion of signal features. The algorithm is seen to compare favorably to that of Mallat et al. (1992), as it is able to recover both the smooth portions as ll as Brownian texture in the input, from the noisy signal."}]