# Scilab Programs Help

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Scilab Programs Help gives you all-round support for Scilab code development and project implementation. In this competitive world, if you need to stand as high in the midst of others, you need to do something innovative and creative, i.e., your topic or research idea should be highly novel with high research impact. Our experts are experts of experts in Scilab due to their ten years of experience. Scilab programs are the soul of the project; without a soul, the project is not working. We have now developed 1000+ Scilab projects worldwide for students and scholars, and we received the best feedback from students for our immense Scilab programs help rendered. Ideas are the roots of creation. Bring to us any project ideas we will guide and also support you to develop a project from your own.

#### Scilab Programs Help

Our Scilab programs help you code support in Scilab domains like image processing, signal processing, data mining, wireless communications, and wireless sensor networks. Here we have emphasized digital signal processing and Scilab programs for digital signal processing.

Digital signal processing [DSP] is a digital representation signal. DSP is used in various applications like finite and infinite impulse response systems, multirate signal processing, adaptive filters, and also waveform quantization and compression

#### Scilab Programs For DSP Applications

###### Example 1: Circular convolution ``` //Using DFT```

clear all;

clc;

close;

L =4; //Length of the Sequence

N =4; // N -point DFT

x1 = [2,1,2,1];

x2 = [1,2,3,4];

//Computing DFT

X1 = dft(x1,-1)

X2 = dft(x2,-1)

//Multiplication of 2 DFTs

X3 = X1.*X2

//Circular ConvolutionResult

x3 =abs(dft(X3,1))

###### ```disp(x3,'x3=') ```Example 2: Linear convolution``` clc;```

clear all;

close ;

x = input(‘enter x seq’);

h = input(‘enter h seq’);

m = length(x);

n = length(h);

#### //Method: Using Direct Convolution Sum Formula

for i =1:n+m-1

conv_sum =0;

for j =1:i

if (((i-j+1) <= n)&(j <= m))

conv_sum = conv_sum + x(j)*h(i-j+1);

end;

y(i) = conv_sum;

end;

end;

`disp(y,'y=')`

#### Scilab Project Topics In Recent Research Areas

• Region based Multi focus Image Fusion also using the spectral parameter variance
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• A survey on detection and classification of rice plant diseases.
• Lossy image compression also using SVD coding algorithm
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• Vehicle detection and also classification using audio visual cues.
• Multi temporal fusion of abdominal CT images also for effective liver cancer diagnosis
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• Multi image fusion using discrete wavelet transform and also sparse representation

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