Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a result from experiment about blind source separation at a mini underwater test tank. The test tank made of 12mm thick of glass with dimension 2 × 1 × 1 in meter, then  placed corrugated sponges inside the walls to reduce the echo from generated signal during experiments. The measurements re conducted by placing three hydrophones and two underwater speaker in variation water temperature and salinity. The temperature re set to 13°C, 17°C, 21°C, 25°C and 29°C respectively to simulate depth. In term of salinity  fixed at room temperature 29°C and varied the salinity of 3.1%, 3.2%, 3.3%, 3.4% and 3.5%, respectively.  used Time-Frequency Blind Source Separation (TFBSS) instantaneous based on joint diagonalization and convolutive method to obtain the performance. The obtained results based on MSE (Mean Squared Error) and SIR (Source to Interference Ratio) suggest that convolutive BSS outperformed the TFBSS indicating that the environment at the test tank is reverberant.
['Niken Puspitasari Yuwono', 'Dhany Arifianto', 'Wirawan']
I am writing a research paper on a idea Time-Frequency Blind Source Separation at mini semi-anechoic underwater test tank
[{"from": "human", "value": "I am writing a research paper on a idea Time-Frequency Blind Source Separation at mini semi-anechoic underwater test tank"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a result from experiment about blind source separation at a mini underwater test tank. The test tank made of 12mm thick of glass with dimension 2 \u00d7 1 \u00d7 1 in meter, then  placed corrugated sponges inside the walls to reduce the echo from generated signal during experiments. The measurements re conducted by placing three hydrophones and two underwater speaker in variation water temperature and salinity. The temperature re set to 13\u00b0C, 17\u00b0C, 21\u00b0C, 25\u00b0C and 29\u00b0C respectively to simulate depth. In term of salinity  fixed at room temperature 29\u00b0C and varied the salinity of 3.1%, 3.2%, 3.3%, 3.4% and 3.5%, respectively.  used Time-Frequency Blind Source Separation (TFBSS) instantaneous based on joint diagonalization and convolutive method to obtain the performance. The obtained results based on MSE (Mean Squared Error) and SIR (Source to Interference Ratio) suggest that convolutive BSS outperformed the TFBSS indicating that the environment at the test tank is reverberant."}]