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Title: Detecting Original Image Using Histogram DFT and SVM
Page Link: Detecting Original Image Using Histogram DFT and SVM -
Posted By: seminar class
Created at: Tuesday 03rd of May 2011 07:19:58 PM
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Abstract
Information hiding for covert communication is rapidlygaining momentum. With sophisticated techniques beingdeveloped in steganography, steganalysis needs to beuniversal. In this paper we propose Universal Steganalysisusing Histogram, Discrete Fourier Transform and SVM(SHDFT). The stego image has irregular statisticalcharacteristics as compare to cover image. Using Histogramand DFT, the statistical features are generated to train One-Class SVM to discriminate the cover and stego image.SHDFT algorithm is found to be efficient an ....etc
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Title: linear convolution of two given sequences using dsp kit
Page Link: linear convolution of two given sequences using dsp kit -
Posted By:
Created at: Wednesday 03rd of December 2014 01:25:04 AM
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Title: flowchart for linear convolution program in code composer studio
Page Link: flowchart for linear convolution program in code composer studio -
Posted By:
Created at: Friday 21st of February 2014 09:59:53 PM
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Title: linear convolution of two sequences
Page Link: linear convolution of two sequences -
Posted By:
Created at: Saturday 29th of June 2013 08:33:05 PM
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plz tel me abt linear convolution which i want 2 knw more abt dis topic which is vry much useful 4 me in my seminars
plz tel me abt linear convolution which i want 2 knw more abt dis topic which is vry much useful 4 me in my seminars
....etc
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Title: verilog code for linear convolution
Page Link: verilog code for linear convolution -
Posted By:
Created at: Tuesday 19th of June 2018 07:56:21 PM
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i need verilog code for linear convolution.please help. ....etc
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Title: LINEAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT
Page Link: LINEAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:10:48 PM
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Procedure:-
1) Find the length of the first sequence x=x_length
2) Find the length of the second sequence h=h_length
3) Estimate the number of samples in the result of linear convolution of x &h=Y_length
4) If X_length
5) If h_length
6) Take DFT for modified x=x(k)
7) Take DFT for modified h=H(k)
8) ....etc
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Title: nerolac paints shade card free download
Page Link: nerolac paints shade card free download -
Posted By:
Created at: Tuesday 17th of February 2015 04:10:56 AM
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Hello dear
Nerolac please send me your shade card so I can choose color
For my house & rooms with contrast
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Title: LINEAR CONVOLUTION
Page Link: LINEAR CONVOLUTION -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:22:26 PM
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/* prg to implement linear convolution */
#include
#include
int y;
main()
{ int m=6; /*Length of i/p samples sequence*/
int n=6; /*Length of impulse response Co-efficients */
int i=0,j;
int x={1,2,3,4,5,6,0,0,0,0,0,0}; /*Input Signal Samples*/
int h={1,2,3,4,5,6,0,0,0,0,0,0}; /*Impulse Response Co-efficients*/
for(i=0;i
{
y=0;
for(j=0;j<=i;j++)
y+=x*h;
}
for(i=0;i
printf(%d\n,y);
}
PROCEDURE:
Open Code Compos ....etc
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Title: 3LINEAR CONVOLUTION OF TWO SEQUENCES
Page Link: 3LINEAR CONVOLUTION OF TWO SEQUENCES -
Posted By: seminar class
Created at: Friday 06th of May 2011 05:59:49 PM
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Procedure:-
1. Read the input sequence, x and plot
2. Read the impulse response of the system, h and plot
3. Convolve the two results and plot them
Description:-
Linear Convolution involves the following operations.
1. Folding
2. Multiplication
3. Addition
4. Shifting
These operations can be represented by a Mathematical Expression as follows:
y = xh
x= Input signal Samples
h= Impulse response co-efficient.
y= Convolution output.
n = No. of Input sample ....etc
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Title: CIRCULAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT
Page Link: CIRCULAR CONVOLUTION OF TWO FINITE LENGTH SEQUENCES USING DFT AND IDFT -
Posted By: seminar class
Created at: Friday 06th of May 2011 06:10:45 PM
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Procedure:-
1) Find the length of the first sequence x=x_length
2) Find the length of the first sequence h=h_length
3) Take the circular convolution order as N
4) If x_length < N, pad enough number of zeros to x, so that the number of samples in the modified x=N
5) If h_length < N ,pad enough number of zeros to h, so that the number of samples in the modified h=N
6) Take DFT for modified x=x(k)
7) Take DFT for modified h=H(k)
8) Compute Y(K)=X(K)*H(K)
9) Compute y(n)=IDFT(Y(k))
10) Verify if y=conv(x, ....etc
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