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REVU VARAPRASAD


2015년부터 활동

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how i can split DVB_T signal into matrix form which is 256 by 256 in simulink.which block it will support.
I am doing project in simulink on spectrum sensing in cognitive radio.I am facing problem. I taken DVBT i/p signal. I want mult...

대략 9년 전 | 답변 수: 0 | 0

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i want to create M-Block for histogram in system generator for 1000 samples.i am loading following code but i am getting syntax error at line 3. please guide me to design a M-Block for histogram
function z1 = xlmax(z) load ('newfile.txt'); a=newfile(:,1); z=xlmax(a) figure(1) %plot(z) sum(z) figure(...

대략 9년 전 | 답변 수: 2 | 0

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I want to design xilinx histogram block for MATLAB 7.4.0(R2007) in system generator .I wrote M-Code and simulating but i am geting error at line 2 of following program.Please any one help me to create M-Block for histogram.
function pr = srinu(a) load newfile.txt; a=newfile(:,1); z=xlmax1(a); % figure(1) %plot(z) sum(z) figure(...

대략 9년 전 | 답변 수: 1 | 0

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Is there any block in simulink to read complex matrix from matlab workspace to simulink design.
how to read 256 by 256 complex matrix from workspace into simulink design.Which block i can use to read this complex matrix from...

대략 9년 전 | 답변 수: 0 | 0

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I want read 256 by 256 complex matrix from workspace to simulink model in SysGen.which block it support.please guide me.
how to read 256 by 256 complex matrix from workspace into simulink design.Which block i can use to read this complex matrix from...

대략 9년 전 | 답변 수: 1 | 0

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while run the following matlab program i am geting error as Index exceeds matrix dimensions.please tell me where i did wrong.
a=[9 4 9 3 9 1 9 0] binsize=9/10; if (n<10) for n=0:10 count=0 for i=0:10 if cond(n*bins...

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I want's to create M-Block for histogram in a system generator(simulink).For that I want to write a matlab program for histogram without using hist function.how i will proceed.
Xw = abs(fft(Xt)); ki = hist(Xw,L) Here L=10 and Xw=Columns 1 through 9 2.6745 0.8621 0.4602 0.9763 ...

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How to write matlab program for histogram with out using hist function.
Xw = abs(fft(Xt)); ki = hist(Xw,L)%%% L=bin lenth,Xw=1000 randam samples

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