Finding the close form of the expression containing two summations












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I am trying to deduce an equation and right now I am stuck at a point where there are two summations. Below is the equation where I am stuck. Kindly, help to deuce this further to obtain a closed form expression. Else, how to convert this in matrix form? Any help is appreciated. Thanks in advance.



$R(n,epsilon)=frac{1}{N^2} exp(frac{jpi n^2}{Nm}) sum_{d=0}^{N-1} sum_{g=0}^{N-1} exp (frac{jpi md^2}{N}) exp(frac{-jpi m (g-n)^2}{N}) (frac{1-exp(j2pi epsilon)}{1- exp(frac{j2pi(epsilon +d-g)}{N})}) $










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    I am trying to deduce an equation and right now I am stuck at a point where there are two summations. Below is the equation where I am stuck. Kindly, help to deuce this further to obtain a closed form expression. Else, how to convert this in matrix form? Any help is appreciated. Thanks in advance.



    $R(n,epsilon)=frac{1}{N^2} exp(frac{jpi n^2}{Nm}) sum_{d=0}^{N-1} sum_{g=0}^{N-1} exp (frac{jpi md^2}{N}) exp(frac{-jpi m (g-n)^2}{N}) (frac{1-exp(j2pi epsilon)}{1- exp(frac{j2pi(epsilon +d-g)}{N})}) $










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      I am trying to deduce an equation and right now I am stuck at a point where there are two summations. Below is the equation where I am stuck. Kindly, help to deuce this further to obtain a closed form expression. Else, how to convert this in matrix form? Any help is appreciated. Thanks in advance.



      $R(n,epsilon)=frac{1}{N^2} exp(frac{jpi n^2}{Nm}) sum_{d=0}^{N-1} sum_{g=0}^{N-1} exp (frac{jpi md^2}{N}) exp(frac{-jpi m (g-n)^2}{N}) (frac{1-exp(j2pi epsilon)}{1- exp(frac{j2pi(epsilon +d-g)}{N})}) $










      share|cite|improve this question















      I am trying to deduce an equation and right now I am stuck at a point where there are two summations. Below is the equation where I am stuck. Kindly, help to deuce this further to obtain a closed form expression. Else, how to convert this in matrix form? Any help is appreciated. Thanks in advance.



      $R(n,epsilon)=frac{1}{N^2} exp(frac{jpi n^2}{Nm}) sum_{d=0}^{N-1} sum_{g=0}^{N-1} exp (frac{jpi md^2}{N}) exp(frac{-jpi m (g-n)^2}{N}) (frac{1-exp(j2pi epsilon)}{1- exp(frac{j2pi(epsilon +d-g)}{N})}) $







      matrices summation closed-form exponential-sum






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      edited Dec 11 '18 at 4:37

























      asked Dec 11 '18 at 4:23









      Saquib Khan

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