Reciprocal maximum-length sequence pairs for acoustical dual source measurements.

In this paper we propose and demonstrate a method to obtain simultaneous dual source-receiver impulse responses in acoustical systems using binary maximum-length sequences (MLS). A binary MLS and its reversed-order sequence form a reciprocal MLS pair. Their correlation property includes a two-valued "pulse-like" autocorrelation function and a relatively smaller-valued cross-correlation function. This unique property, along with other number-theory properties, makes the reciprocal MLS pair suitable for simultaneous dual source cross-correlation measurements. In the measurement of a dual source system, each of the reciprocal MLS pairs simultaneously excite one of two separate sources, one or several receiver signals cross-correlate in turn with each of the MLS pairs, resulting in impulse responses associated with two separate sources. The proposed method is particularly valuable for system identification tasks with multiple sound/vibration sources and receivers that have to be accomplished in a limited time period. A fast algorithm called a fast MLS transform is exploited for the cross-correlation. In this paper we propose a fast MLS transform pair for the reciprocal MLS pairs. Its efficiency lies in the requirement of one single permutation matrix for a pair of two fast MLS transforms. Its feasibility and usefulness in the acoustical measurements are demonstrated using experimental results.

[1]  Wang Zuomin,et al.  Ensemble average requirement for acoustical measurements in noisy environment using the m‐sequence correlation technique , 1993 .

[2]  Todd Schneider,et al.  A Dual-Channel MLS-Based Test System for Hearing-Aid Characterization , 1993 .

[3]  R. Gold Characteristic Linear Sequences and Their Coset Functions , 1966 .

[4]  Ning Xiang,et al.  Binaural scale modelling for auralisation and prediction of acoustics in auditoria , 1993 .

[5]  Abraham Lempel,et al.  Matrix Factorization Over GF(2) and Trace-Orthogonal Bases of GF(2n) , 1975, SIAM J. Comput..

[6]  U Eysholdt,et al.  Maximum length sequences -- a fast method for measuring brain-stem-evoked responses. , 1982, Audiology : official organ of the International Society of Audiology.

[7]  K E Hecox,et al.  A comparison of maximum length and Legendre sequences for the derivation of brain-stem auditory-evoked responses at rapid rates of stimulation. , 1990, The Journal of the Acoustical Society of America.

[8]  Wing T. Chu Impulse-response and reverberation-decay measurements made by using a periodic pseudorandom sequence , 1990 .

[9]  Ning Xiang Using M-sequences for determining the impulse responses of LTI-systems , 1992, Signal Process..

[10]  Massimo Garai,et al.  Measurement of the sound-absorption coefficient in situ: The reflection method using periodic pseudo-random sequences of maximum length , 1993 .

[11]  M. Schroeder Integrated‐impulse method measuring sound decay without using impulses , 1979 .

[12]  M.B. Pursley,et al.  Crosscorrelation properties of pseudorandom and related sequences , 1980, Proceedings of the IEEE.

[13]  Abraham Lempel,et al.  On Fast M-Sequence Transforms , 1998 .

[14]  A Lempel Hadamard and M-Sequence transforms are permutationally similar. , 1979, Applied optics.

[15]  F. MacWilliams,et al.  Pseudo-random sequences and arrays , 1976, Proceedings of the IEEE.

[16]  Erich E. Sutter,et al.  The Fast m-Transform: A Fast Computation of Cross-Correlations with Binary m-Sequences , 1991, SIAM J. Comput..

[17]  J. Borish,et al.  An efficient algorithm for measuring the impulse response using pseudorandom noise , 1983 .