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Publisher’s version / Version de l'éditeur:

Journal of the Acoustical Society of America, 72, 1, pp. 196-199, 1982-07

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Note on the independent sampling of mean-square pressure in

reverberant sound fields

Chu, W. T.

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N21d

National Research

Conseil national

$

Council Canada

de recherches Canada

e . 2

NOTE ON THE INDEPENDENT SAMPLING OF MEAN-SQUARE PRESSURE I N REVERBERANT SOUND FIELDS

by W.T. Chu

Reprinted from

Journal of the Acoustical Society of America Vol. 72, No. 1, July 1982

p. 196

-

199

DBR Paper No. 1056

Division of Building Research

Price $1 .OO OTTAWA

A N A L Y Z E D

hr ' c 4 r s - t t

BLDG.

RES.

L I B R A R Y

82-

11-

05

NRCC 20663

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On t r a i t e d a n s l e p r 6 s e n t document du c o n c e p t d e pr6l'evement d'gchan- t i l l o n s i n d g p e n d a n t s d e l a p r e s s l o n q u a d r a t i q u e moyenne d a n s l e s champs a c o u s t i q u e s r g v e r b g r s s d u s ii d e s s o n s p u r s e t on d 6 d u i t l e s r 6 s u l t a t s d e Lubman s u r l a f o n c t i o n d e cova- r i a n c e d e l a p r e s s i o n q u a d r a t i q u e mo y enne

.

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Note on the independent sampling of mean-square pressure in

reverberant

~d

fields

W. T. Chu

Division of Building Research, National Research Council of Canada. Ottawa, Canada K I A OR6

(Received 15 October 198 1; accepted for publication 26 March 1982)

A discussion of the concept of independent sampling of mean-square pressure in pure-to reverberant sound fields is presented together with a derivation of Lubman's result on th covariance function of the mean-square pressure.

PACS numbers: 43.55.Br, 43.85.Dj rRODUCTlON

n = tan- l ( sin ~

Oi/Z

cos Oi).

The need for spatial averaging of the mean-square pres- sur SOU roa bee ing -A" I ci14 cre ton ed i spa tial one

e

3

in connection with laboratory measurements of

md power and sound transmission loss in reverberation Ims is well known. Several papers'-8 in the Journal have ,n devoted to discussion of various types of spatial averag-

.

The concept of independent sampling can be accepted

dily for such incoherent reverberant sound fields as are ated by narrow-band random noise excitation. For pure- e excitation, however, the reverberant sound fields creat-

--

m rooms of fixed geometry are coherent9 and the applica-

bility of this concept needs to be clarified. The main objective of this Note is to present a more consistent picture of the subject and to provide a derivation of Lubman's result on the tial covariance of the mean-square pressure that is essen- to many of the previous discussions and to the present

IEVERBERANT FIELD UNDER PURE-TONE CITATION

Rooms with fixed geometry will be considered. At fre-

quencies above the Schroeder's large room frequency, lo

f,

= 2000(T&JV)1'2, (1)

where T, is the reverberation time (s) and V, room volume

(m3), a large number of room modes will be excited to vibrate

at the source frequency. Using the free-wave model,4 the reverberant sound field can be idealized as consisting of a large number of plane waves with equal amplitudes but dif- ferent phases. At any point in the room sufficiently far from the source and any reflecting surfaces the directions of prop- agation of the plane-wave trains are assumed to be uniformly distributed in all directions. The acoustic pressure at such a location can be written as

.,

In other words, the sound pressures at all points in space vary sinusoidally in time, but with different amplitudes and

phases. As a result, the temporal mean-square pressure

3

shows large variation with position. For a practical estimate

of the space-averaged value of

3

it is advisable to obtain a

finite number of independent samples of

3.

To ensure inde-

pendence, a necessary condition is that the spatial covar- iance between paired samples is negligibly small. As the esti- mation process involves spatial averaging of 3 , it is appropriate to assume that the random process describing the field is stationary and ergodic with respect to position. Thus ensemble average can be replaced by spatial average and different statistics of the field are independent of posi- tion and orientation. The spatial covariance of the mean- square pressure can be defined as

where ( ) denotes spatial averaging, r = Jr,

-

r1

1,

and (

3)

represents the space-averaged value of

3.

Lubman2 presented a result for the normalized covar- iance function without proof. Only recently Jacobsen" pro- vided a derivation of Lubman's result for a pure-tone field using Hilbert transform technique. A more conventional ap- proach is possible, however, and will be outlined in Sec. 11. First, it is necessary to summarize several second-order sta- tistics of this field.

A. Probability density of mean-square pressure Using the free-wave model mentioned in the previous section, Waterhouse4 has derived the probability density

(2) function for the normalized mean-square pressure. If I is

defined by

where q5i is the phase of the ith plane wave and w the driving

frequency of the source. {

4,.

) is considered to be a set of N I =

3

(rV(

?),

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statistically independent random variables uniformly dis- the probability density function

P

(I ) is

tributed on (0,277). Note that Eq. (2) can be rewritten as P ( I ) = e - I . (6)

p(r, t ) = A cos(ot

+

a),

where

A =

(x

cos

+

(x

sin mi):

(3)

B. Joint probability density of instantaneous pressure

In Eq. (2), if N is, large, it follows from the central-limit

theorem'' that the instantaneous pressurep is Gaussian dis-

tributed for any specific time, t = ti. For a pair of points that

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a 6 La 611vusll up oint probabil-

ity density is the product of two Gaussian density functions. For other pairs of carrelated points it is possible that their joint probability density may not be bivariate Gaussian, al- though they are Gaussian distributed individually.I3

To ensure that the joint probability density is biva: Gaussian a computer simulation of the reverberant field been performed using the free-wave model. If the assu

...,

tion that the directions of the plane waves are uniformly distributed is incorporated into Eq. (2), the instantaneous pressures at two adiacent locations can be written as, follow- ing Jacobsen's wo ted their j riate lhas Imn- irk," cos [wt, M L ~('1, f l ) =

C

2

j = 1 i = 1 (7) =

2

,i

u s [at,

+

#,(r,,

-

kr cos

-

, j = l r = l

I

0 X d probabilit: 1 2 y density f u ~ ~. . nctions of tr - ..

FIG. 2. Comparison of standardize

formed variables with Gaussian function. Combination of 30 waves 1

equal amplitudes but random phases. 2500 pail

ans-

where L = positive integer value of (N?r/2M )sin( j?r/M ), r = Ir, - r,l, and k is the wavenumber ( = @/speed of sound). To generate Eq. (7), the zenith angle (O<B<v) has been divided into M equal increments. The factor (Nv/

2M )sin( jv/M) represents the number of incident plane waves distributed over the ring element, as shown in Fig. 1.

The spatial variation of the amplitude of the pair of points at any instant of time was simulated on the computer by gener- ating different sets of #i(rl, j) using a routine that produces uniformly distributed random numbers.

It is rather difficult to test the normality of a two-di- mensional joint-probability density function. A simpler ap- proach is to rely on the fact that two random variables hav- ing a bivariate Gaussian probability density function can be transformed into two independent Gaussian random varia- bles by a rotation of coordinates (see, for example, Daven- port and RootI4) and to test the normality of probability density functions of the transformed variables individually. Such an approach was taken by the author in his computer simulation. A total of 2500 pairs of points were generated for the probability density computation. A representative com- parison of the density functions of the transformed variables

rs of points

.

.

..

were used.

.

.

with the standard Gaussian probability aenslty 1s show1 Fig. 2. A chi-square test applied to these density functi using 27 class intervals of equal width showed that the pothesis of normality was acceptable at the 0.05 level of nificance. It is therefore concluded that the joint probabi density is bivariate Gaussian for any pair of points at ; instant of time in the free-wave model of a pure-tone re1 berant sound field.

I in ons hy- 0.- v1g- lity any {er-

C. Space-time cross correlation of pressurc

Using Eq. (7), the space-time cross correla sure can be written as

B rtion of PI t1b(r29 t,)) M M L L =

C

2

C

2

( u s [ u t 1

+

#,(r19 m ) ] m = 1 j = 1 I = 1 i = 1 (8) the It can be demonstrated that the main contril:

quadruple summation comes from terms with m = j r

1 = i. Hence ( ~ ( r l , tlb(r29 t2))

l M L

w(tl

-

t,)

+

kr cos

Converting the summation over discrete zenith angles b to continuous integration,

W l , tlb(r29 t2))

ack

=

(5)

1

[w(t, - t,)

+

kr cos B ]sin B dB

= (N/2) [sin(kr)/kr] cos [w(t, - t,)]

.

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The procedure is very similar to that given by Jacob- sen," but the interpretation is different. Although the nor- malized correlation of Eq. (9) with zero-time difference has d

FIG. 1. Geometry of ray path of incident plane wave on a microphone pair.

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same fon given by Cook et a1.,I5 it has minimal ctical value. Equation (9) only serves as an intermediate to the final solution of the covariance of the mean- are pressure. The formulation derived by Cook et al. is incoherent reverberant fields9 (e.g., narrow-band noise itation) and is valid for any fixed pair of points in space.

: results can be utilized for the investigation of certain

ects of "diffusion" and to provide information about the

uctures b~ d in reverberation rn as that the . [ s i n l k O r ) l k O r ] 1 A V E R A G E D O V E R 113 O C T A V E B A N D W I D T H 1 ror exc Tht 0-,-. , auk' aco cha ~ t s to stn eing teste

ZOVARIANCE OF MEAN-SQUARE PRESSURE

As has been stated before, to ensure independent sarn-

~g of

3

it is necessary that the spatial covariance between

red samples be negligibly small. Hence the form of this

ariance has to be determined. The mean-square pressure sually defined as 1

=

= lim

,

l,

d ( r l , t )dt. 7- m ( 10) yu1, pail cov is u Kor

FIG. A l . Effect of bandwidth on normal mce functio

the number of positions is large. A similar situation results if

averaging over modal pattern and frequency is applied by the use of a rotating diffuser. The case of narrow-band noise excitation can also be considered as averaging over frequen- cy. It is necessary, however, to ensure that there are no sig- nificant changes to the form of the covariance function as a result of frequency averaging. It is shown in the Appendix that the form of the covariance function changes insignifi- cantly when averaged over a bandwidth of 1/3 octave. As

den

has been demonstrated in Sec. IB, the joint probability .sity of pressure is bivariate Gaussian. Thus the covar- :e of pressure squared can be written as (see, for example, venport and RootI4),

bl, t,lP2(r2, t2)) = b2(r1, fl)) (p2(r2, t2))

+

2b(r,, t,lp(r2, t2D2. ( 12)

~stituting Eqs. (12) and (1 1) in Eq. (4), it follows that

ianc Da7

(n21

APPENDIX: EFFECT OF FREQUENCY AVERAGING

Under narrow-band noise excitation the normalized co- variance function of the mean-square pressure can be ob- tained by averaging Eq. (1 5) over frequency; i.e.,

w

Sut

R (r) = 2 lim

-

JTr

f 1 ~ ( r 2 , h))2dtd dl2. (13)

T-r- T2 0 0

By expanding the integrand into a Taylor series about the

mean wavenumber [k, = (k,

+

kl)/2] it can be shown that

Usi ng

Eq.

(9) for the space-time cross correlation of pressure,

I easy to show that

R (r) = (N/2)2[sin(kr)/kr]2. ( 14)

ne normalized covariance is

(r) = [sin(kr)/krI2. (15)

'his result was first obtained by L ~ b m a n . ~

DISCUSSION

The normalized

whereF (kor) = [sin(ky)/kOrl2andF " andF " " are thesecond

and fourth derivatives of F, respectively.

(R

(r)) has been

computed for the case of (k2

-

k,) equal to 1/3 octave wide.

Figure (Al) shows a comparison of

(2

(r)) /. with [sin(kor)/

kOrl2. The conclusion is that no significant changes have oc-

curred as a result of frequency averaging. covariance of the mean-square pres-

e

3

is diminishing beyond kr = T , according to Eq. (1 5).

us if

3

is measured at points half a wavelength or more

-,.~rt, the samples can be considered to be uncorrelated. They cannot, however, be regarded as independent because

the probability density of

3

is not Gaussian. They are ex-

on en ti ally distributed as indicated by Eq. (6).

The condition of independent sampling can be ap- roached if some additional averaging schemes are incorpo- ated. For example, averaging over many independent source positions (at least half a wavelength apart) is a possi- bility. As has been shown by Waterhouse: the probability

density function of the averaged

3

approaches normal if

sun Thl

ana

'M. R. Schroeder, "Effect of frequency and space averaging on 1

mission responses of multimode media," J. Acoust. Soc. Am. 46, (1969).

'D. Lubman, "Spatial averaging in a diffuse sound field," J. Acoust. Soc. Am. 46,532-534 (1969).

'M. R. Schroeder, "Spatial averaging in a diffuse sound field and the equi- valent number of independent measurements," J. Acoust. Soc. Am. 46, the trans- ,277-283

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n. waternouse, spauru propernes of reveroeranr sound fields," J. Acoust. Soc. Am. 43, 14361444 (1968).

'R. Waterhouse, "Spatial properties of reverberant sound fields," 6th Int. Congr. Acoust., Tokyo, Japan, Paper E-5-l(1968).

6R. Waterhouse and D. Lubman, "Discrete versus continuous space aver- aging in a reverberant sound field," J. Acoust. Soc. Am. 48, 1-5 (1970). 'D. Lubrnan, R. Waterhouse, and C. Chien, "Effectiveness of continuous

spatial averaging in a diffuse sound field," J. Acoust. Soc. Am. 53, 650- 659 (1973).

'C. Chien, R. Waterhouse, and D. Lubman, "Spherical averaging in a dif- fuse sound field," J. Acoust. Soc. Am. 57,972-975 (1975).

9W. T. Chu, "Comments on the coherent and incoherent nature of a rever-

berant sound field," J. Acoust 50c. Am. 69, 171S1715 (198

'OM. R. Schroeder, "Frequency autocorrelation functions of f ~ ~ ~ ~ i l l ~ l ~ 1 sponses in rooms," J. Acoust. Soc. Am. 34, 1819-1823 (1962).

"F. Jacobsen, "The diffuse sound field," Acoust. Lab., Tech. Univ. Dr mark, Rep. No. 27 (1979).

I2J. H. Laning, Jr., and R. H. Battin,Random P r o c e s in Automatic Ca trol (McGraw-W, New York, 1956).

'3Reference 12, p. 85.

I4W. B. Davenport, Jr., and W. L. Root, An Introduction to the Theory Random Signals and Noise (McGraw-Hill, New York, 1958), p. 168, "R K. G m k , R. V. Waterhouse, R. D. Berendt, S. Edelman, and M. C.

Thompson, Jr., "Measurement of correlation coefficients in reverberant sound fields," J. Acoust. Soc. Am. 27, 1072-1077 (1955).

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Figure

FIG. 2. Comparison of standardize
FIG.  A l .  Effect of bandwidth on normal  mce functio

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