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13. L. B. Milstein, Interference rejection techniques in spread spectrum communications, Proc. IEEE, 76: 657–671, 1988. 14. H. V. Poor and L. A. Rusch, Narrowband interference suppression in spread spectrum CDMA, IEEE Personal Comm. Magazine, 1994, pp. 14–27, 3rd quarter. 15. L. A. Rusch and H. V. Poor, Narrowband interference suppression in CDMA SS communications, IEEE Trans. , 42: 1969–1979, 1994. 16. J. D. Laster and J. H. Reed, Advances in single-channel adaptive interference rejection for digital wireless communications, Sig.
In addition, different speakers with different spoken words or syllables captured by different voice sensors also result in considerable variations in signal levels. The intensity variations between a loud syllable of a loud speaker and a soft syllable of a soft speaker could be as large as 70 dB (1). On average, the dynamic range among speakers is about 30 dB to 40 dB (1). Such large variations in speech signal levels may have an unfavorable effect on the design of a speech transmission system.
9. P. Petrus and J. H. Reed, Time dependent adaptive arrays, IEEE Sig. Process. , 2: 219–222, 1995. 10. A. F. Naguib, A. Paulraj, and T. Kailath, Capacity improvement of base-station antenna arrays in cellular CDMA, Proc. , 1993, pp. 1437–1441. 11. A. F. Naguib, A. Paulraj, and T. Kailath, Capacity improvement with base-station antenna arrays in cellular CDMA, IEEE Trans. Veh. , 43: 691–697, 1994. CODE DIVISION MULTIPLE ACCESS 12. J. C. Liberti and T. S. Rappaport, Analytical results for capacity improvements in CDMA, IEEE Trans.