Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Head related impulse responses (HRIRs) are the key to spatial realism in auditory virtual environments (AVEs). Hover, the measurement of discrete-azimuth HRIRs and their interpolation has been recognized as a tedious and delicate experimental procedure.  therefore suggest an adaptive filtering concept for continuous HRIR acquisition that completely avoids the traditional sampling and interpolation issue. Using an LMS-type adaptive algorithm, the HRIRs - at any azimuth - are extracted from a one-shot binaural recording. During data acquisition, the subject of interest is continuously rotated in the horizontal plane in order to capture the corresponding spatial information. In particular, the paper provides a profound theoretical and experimental analysis of the resulting HRIR inaccuracy in terms of the mean-square error. Furthermore, the optimal step- size parameter of the LMS-type adaptive algorithm is determined for which the minimum HRIR inaccuracy is attained.
['Gerald Enzner']
I am writing a research paper on a idea Analysis and optimal control of LMS-type adaptive filtering for continuous-azimuth acquisition of head related impulse responses
[{"from": "human", "value": "I am writing a research paper on a idea Analysis and optimal control of LMS-type adaptive filtering for continuous-azimuth acquisition of head related impulse responses"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Head related impulse responses (HRIRs) are the key to spatial realism in auditory virtual environments (AVEs). Hover, the measurement of discrete-azimuth HRIRs and their interpolation has been recognized as a tedious and delicate experimental procedure.  therefore suggest an adaptive filtering concept for continuous HRIR acquisition that completely avoids the traditional sampling and interpolation issue. Using an LMS-type adaptive algorithm, the HRIRs - at any azimuth - are extracted from a one-shot binaural recording. During data acquisition, the subject of interest is continuously rotated in the horizontal plane in order to capture the corresponding spatial information. In particular, the paper provides a profound theoretical and experimental analysis of the resulting HRIR inaccuracy in terms of the mean-square error. Furthermore, the optimal step- size parameter of the LMS-type adaptive algorithm is determined for which the minimum HRIR inaccuracy is attained."}]