signals detection

7/24/2019 SIGNALS DETECTION

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SIGNALS DETECTION1. TEMPLATE MATCHING

2. CORRELATION S IGNALS DETECTION2. CORRELATION S IGNALS DETECTION

3. INVARIANT CORRELATION3. INVARIANT CORRELATION

RECOGNITIONRECOGNITION

4. SIGNALS DETECTION BASED ON THE

MOMENT FEATURES CALCULATION


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TEMPLATE MATCHING


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TEMPLATE MATCHING

The mean-square difference or error

A template match exists at coordinate m!n" if#


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TEMPLATE MATCHING


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TEMPLATE MATCHING


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CORRELATION SIGNALS DETECTIONCORRELATION SIGNALS DETECTION

1.1. The Fourier spectrum of the input signal P(x,y)The Fourier spectrum of the input signal P(x,y)is formed:is formed:

PPx,yx,y PP SSu,vu,v =FF{PPx,yx,y}}!!..

!. The signal P!. The signal PSS(u,v) is segmented on the(u,v) is segmented on the"rightness, #hich allo#s to avoid the influence"rightness, #hich allo#s to avoid the influenceof the noise:of the noise:

PPSSu,vu,v PP S$S$u,v).u,v).


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CORRELATION SIGNALS DETECTIONCORRELATION SIGNALS DETECTION

%. The correlation functions are calculated:%. The correlation functions are calculated:

&&

''((((

,,

)maxmax*)maxmax*

PPS$S$(u,v)(u,v)

++S$S$(u-(u-

,v-,v-

)dudv,)dudv,

- - 1 1

#here#here

- the correlation field, &-the num"er- the correlation field, &-the num"erof standardsof standards

. The classification of the signal is carry out. The classification of the signal is carry out


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INVARIANT CORRELATION RECOGNITIONINVARIANT CORRELATION RECOGNITION

1. The Fourier spectrum of the input signal P(x,y) is forming,1. The Fourier spectrum of the input signal P(x,y) is forming,that allo#s to center the signal:that allo#s to center the signal:

PPx,yx,y FTFT{PPx,yx,y}}!! PPSSu,vu,v

!. The operation of P!. The operation of PSS(u, v) segmentation is reali/ing #ith the(u, v) segmentation is reali/ing #ith theaim of noise removing:aim of noise removing:

PPSS

u,vu,v

P

P

S$S$

u,vu,v


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INVARIANT CORRELATION RECOGNITIONINVARIANT CORRELATION RECOGNITION

%. The coordonate transformation of P%. The coordonate transformation of PS$0S$0(u,v) is(u,v) isreali/ing:reali/ing:

PPS$S$u,vu,v PP S$S$uu11,v,v11,,

#here u#here u11=arctgarctgvuvu, v, v11ln*(u2v)ln*(u2v)1 !1 !3.3.

. The image P. The image PS$S$(u(u11vv11) recognition is reali/ing:) recognition is reali/ing:

&&

''((4,54,5 =max maxmax max {66P66PS$S$uu11,v,v117+7+S$(S$((u(u114,v4,v115)du5)du11dvdv11

8 8 =11

9. The classification of the signal is carry out9. The classification of the signal is carry out


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$% Geometrical S&' are calculated#

SIGNALS DETECTION (ASED ON T)E

&O&ENT 'EAT*+ES CLASSI'ICATION


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,% The inds of si.nals distortions are defined




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/% The normali0ation of the si.nal 1+x$2!3$2" is executed


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4% The .eometrical S&' of 14% The .eometrical S&' of 1NNxx,,!3!3,,"! are calculated#"! are calculated#

5% The classification of si.nal is carr3in. out#


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T)E S6STE&T)E S6STE&

'O+ SIGNALS DETECTION'O+ SIGNALS DETECTION

signals detection

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