5/21/2018

1/5

.

.

.

.

.

.

.

.

.

.

.

: :

.

:

.

.

.

.

.

.

.

.

:

--

-. - -

-.

%.-

.

4

%.

-

.( ).

-

.

.

5/21/2018

2/5

-

.

.

-

.

.

.

USGS

(1 Cm/s/s)

..

.

1:Comp L

.

(a

((.

(b

)(.

2:Comp L

.

(a

)(

(b

)

(

5/21/2018

3/5

.

.

:

-

--

.

.

.

. .

.

.

. .

.

Donoho

Wavelet shrinkage denoising

.

:-

-

-

:f

:

yif ti zi i 1,...,N

ti i 1N

zi

N(0,).

f=(f())

5/21/2018

4/5

. f

,....,:

)=1/N.E

.EAVEEXPECTED VALUE .

:

gi cie i:

g W)

,

.

Donoho :thershold

Soft thresholding :

Hard thresholding :

.

THRESHOLD:

1-SINGLE TRESHOLD:

TRESHOLD.

SINGLE TRESHOLDVISUSHRINK

:

5/21/2018

5/5

n:

2-Level dependent thresholds:

.

sure shrink.

-

.

.

.

.

:

-

--

.

-

.

-

.

.

.

1 - Ansari, A and Noorzad, A and Zare, M. (2007). Application of wavelet multi-resolution analysis for

correction of seismic acceleration records.J. Geophys. Eng. Vol. 4, PP. 116.

2 - Boore, D. M. and Bommer, J. J. (2005). Processing of strong-motion accelerograms: needs, options and

consequences. Soil Dynamics and Earthquake Engineering, Vol. 25, PP. 93115.

3 - Donoho, D. L. and Johnstone, I. M. (1994).Idea 1 spatial adaptation by wavelet shrinkage, Biometrika,Vo1

81. PP. 425-455.