Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Continuous-time filters are widely used in signal processing but require a tuning system to align their frequency response. Several tuning techniques have been proposed in the literature, which can be grouped in two basic schemes: master-slave and self-calibration arrangements. Here  propose a novel tuning approach which can be applied to both tuning schemes. The tuning algorithm is based on the application of pseudo-random input test pattern signal and on the evaluation of a few samples of the input-output cross-correlation function. The key advantages of the proposed technique are basically the use of a pseudo-random pattern signal which can be generated by a very simple circuit in a small die area and the simple circuitry required to sample the filter output and to perform the cross-correlation operation. Some experimental results of the application of the proposed tuning technique to a benchmark filter are given in order to assess its effectiveness.
['F. Corsi', 'C. Marzocca', 'G. Matarrese', 'A. Baschirotto', "S. D'Amico"]
I am writing a research paper on a idea Pseudo-random sequence based tuning system for continuous-time filters
[{"from": "human", "value": "I am writing a research paper on a idea Pseudo-random sequence based tuning system for continuous-time filters"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Continuous-time filters are widely used in signal processing but require a tuning system to align their frequency response. Several tuning techniques have been proposed in the literature, which can be grouped in two basic schemes: master-slave and self-calibration arrangements. Here  propose a novel tuning approach which can be applied to both tuning schemes. The tuning algorithm is based on the application of pseudo-random input test pattern signal and on the evaluation of a few samples of the input-output cross-correlation function. The key advantages of the proposed technique are basically the use of a pseudo-random pattern signal which can be generated by a very simple circuit in a small die area and the simple circuitry required to sample the filter output and to perform the cross-correlation operation. Some experimental results of the application of the proposed tuning technique to a benchmark filter are given in order to assess its effectiveness."}]