Presented by:
K.V.Hareesh
G.Venkata Rao
M.Karthik
J.Srikanth
A.Kalyan Joshi


ABSTRACT
 UHF TV channels are traditionally used for television broadcasting where the channels can be regarded static or slowly-varying.
 In this paper, new results on the temporal and spatial characteristics of the wideband UHF mo-bile wireless signals and channels in the Digital Television (DTV) broadcasting UHF frequency bands are presented.
 Our analysis of DTV mobile field measurements confirms that the com ....etc

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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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matlab code for gender recognition applications using autocorrelation method ....etc

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Procedure:-
1. Read the input sequence
2. Cross correlate the signal
3. Display the cross correlate result in suitable axis
4. Verify the correlation property:Rxx(0)=energy(x)
5. Verify the property :Rxx is a even function
MATLAB program for crosscorrelation
clear
clc
close all

% READ THE INPUT SEUENCES
x =
y =
%DEFINE THE AXIS
n1 = -2:1:1;
n2 = -2:1:1;
% PLOT THE SIGNAL
subplot(3,1,1);
stem(n1,x);
title('sequence-x');
grid on;
subplot(3,1,2);
stem(n2,y);
title('sequence-y'); ....etc

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Procedure:-
1. Read the input sequence
2. Autocorrelate the signal using xcorr(x,x)
3. Display the Autocorrelation result in suitable axis
4. verify the correlation property:Rxx(0)=energy(x)
5. verify the property :Rxx is an even function
MATLAB program for autocorrelation
clear
clc
close all

% READ THE INPUT SIGNAL
x = ;
%Define the axis
n = 0:1:length(x)-1;
% PLOT THE SIGNAL
subplot(2,1,1);
stem(n,x);
xlabel('n--->');
ylabel('x--->');
title('sequence x');
grid on;

% AUTOCORRELATE THE S ....etc

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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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Pls provide me with vhdl codes for autocorrelation as soon as possible ....etc

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I need matlab codings for detection of microcalcification in mammograms. ....etc

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hello i am sparsha i am working on mammogram image classification as my M.tech project. i am a beginner to MATLAB. i am using classifiers like SVM and KNN and i need a code for them . i am using script program for identifying region of interest. so need a SVM and KNN code in script ..... can anyone help me please ....etc

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looking for matlab codings for curvelet retinal image analysis ....etc

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