Recently the development of multimedia applications requires a flexible method to represent spatial sound, and higher order ambisonics (HOA) draws more and more attention due to its flexibility between the recording and playback end. To reduce the cost for storage and transmission, some compression methods were developed. However, they result in discontinuity between frames. Here we propose a framework in which independent component analysis (ICA) is used to extract foreground components from HOA signal. We achieve smooth transition by utilizing un-mixing matrices from previous frames. A complete compression system was constructed and a dataset with simulated and recorded signals was built. Subjective experiments provided evidence for the effectiveness of proposed method.
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