**THEORY**

A little basics will aid to get a better understanding of the program

Basic eqation to find the DFT of a sequence is given below.

Basic equation to find the IDFT of a sequence is given below.

It is based on these two equations the program is written.

**PROGRAM**

**%program to find the DFT/IDFT of a sequence without using the inbuilt functions**

**close all;**

**clear all;**

**xn=input('Enter the sequence x(n)'); %Get the sequence from user**

**ln=length(xn); %find the length of the sequence**

**xk=zeros(1,ln); %initilise an array of same size as that of input sequence**

**ixk=zeros(1,ln); %initilise an array of same size as that of input sequence**

**%code block to find the DFT of the sequence**

**%-----------------------------------------------------------**

**for k=0:ln-1**

**for n=0:ln-1**

**xk(k+1)=xk(k+1)+(xn(n+1)*exp((-i)*2*pi*k*n/ln));**

**end**

**end**

**%------------------------------------------------------------**

**%code block to plot the input sequence**

**%------------------------------------------------------------**

**t=0:ln-1;**

**subplot(221);**

**stem(t,xn);**

**ylabel ('Amplitude');**

**xlabel ('Time Index');**

**TITLE ('Input Sequence');**

**%---------------------------------------------------------------**

**magnitude=abs(xk); % Find the magnitudes of individual DFT points**

**%code block to plot the magnitude response**

**%------------------------------------------------------------**

**t=0:ln-1;**

**subplot(222);**

**stem(t,magnitude);**

**ylabel ('Amplitude');**

**xlabel ('K');**

**TITLE ('Magnitude Response');**

**%------------------------------------------------------------**

**phase=angle(xk); % Find the phases of individual DFT points**

**%code block to plot the magnitude sequence**

**%------------------------------------------------------------**

**t=0:ln-1;**

**subplot(223);**

**stem(t,phase);**

**ylabel ('Phase');**

**xlabel ('K');**

**TITLE ('Phase Response');**

**%------------------------------------------------------------**

**% Code block to find the IDFT of the sequence**

**%------------------------------------------------------------**

**for n=0:ln-1**

**for k=0:ln-1**

**ixk(n+1)=ixk(n+1)+(xk(k+1)*exp(i*2*pi*k*n/ln));**

**end**

**end**

**ixk=ixk./ln;**

**%------------------------------------------------------------**

**%code block to plot the input sequence**

**%------------------------------------------------------------**

**t=0:ln-1;**

**subplot(224);**

**stem(t,xn);**

**ylabel ('Amplitude');**

**xlabel ('Time Index');**

**TITLE ('IDFT sequence');**

**%-----------------------------------------------------------**

## 18 comments:

this code was helpful .. but i have a question if we want to convolve 2 sequence shall we follow the same process till dft without function and then do a matrix multiplication after that and find the phase angle and the magnitude of the function

Avishek

Master's Embedded systems

California

shut up.. n get a lyf

Chutia

What should be the sequence as input?

WHAT SHOULD BE CODE FOR SOLUTION OF DIFFRENTIAL EQUATION?

HAVING HOMOGENEOUUS AND PARTICULAR SOLUTION...

There is a very large mistake in your code, you plotted your input signal (xn) rather than plotting the data from the IDFT sequence (ixk).

Just change

stem(t,xn);

to

stem(t,ixk);

at the end of your code.

It's like a teacher asked you to draw an apple, you drew an apple, then handed her the apple back and said it was your drawing.

please can any one explain why we have taken the xk(xk+1) instead of xk?

because the sequence starts from xk(0) not from xk(1)...

what is the input sequnce

@shruti- i hv tried wth xk(0)..but it isnt working...well i aint intelligent to understand wht was going on.... but i wasnt getting the proper output - jeet

@Frank May

Thanks a lot for pointing out that mistake.

@Shruthi Sugruvu

xk(xk+1) ... has been used becuase unlike many other programming languages where the array or table index starts from 0 in matlab the all the indexes starts from 1. So The loop will run from index 1 to N etc.

I hope it's clear

Can i get help with a matlab function that is suppose to compute inverse DFT function?

sexy bichi

anil cs pod mara ja

frank may i will fuck u in may

lai bhari bhawa

perfect code :)

what is the input sequence for this output?

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