论文信息 - Maximum entropy spectral analysis of 31P NMR signals from human cells

Maximum entropy spectral analysis of 31P NMR signals from human cells

Abstract Two autoregressive methods, namely Burg and Yule-Walker algorithms, have been applied to 31 P NMR free induction decays of packed human tumor cells where the signalto-noise ratio was limited by short duration records. The comparison between FFT and MEM power spectral density points out some advantages of the latter analysis technique. In particular, very good resolution and sensitivity can be reached even with very short data records. The choice of the autoregression order is discussed.

[1] T. Ulrich,et al. Maximum entropy spectral analy-sis and autoregressive decomposition , 1975 .

[2] D. van Ormondt,et al. Retrieval of frequencies, amplitudes, damping factors, and phases from time-domain signals using a linear least-squares procedure , 1985 .

[3] Sibusiso Sibisi,et al. Two-dimensional reconstructions from one-dimensional data by maximum entropy , 1983, Nature.

[4] Adriaan van den Bos,et al. Alternative interpretation of maximum entropy spectral analysis (Corresp.) , 1971, IEEE Trans. Inf. Theory.

[5] Jau Tang,et al. An alternative to fourier transform spectral analysis with improved resolution , 1985 .

[6] R. Lacoss,et al. Some Geophysical Applications of Autoregressive Spectral Estimates , 1977, IEEE Transactions on Geoscience Electronics.

[7] H. Akaike. Fitting autoregressive models for prediction , 1969 .

[8] H. Akaike. A new look at the statistical model identification , 1974 .

[9] Richard H. Jones. Autoregression order selection , 1976 .

[10] J. Skilling,et al. Maximum entropy signal processing in practical NMR spectroscopy , 1984, Nature.