By using MATLAB 1. Divide a speech signal or music signal into frames of size N = 64. 2. Compute the N point DFT of each frame. 3. Save only first L = 20 DFT coefficients. 4. Reconstruct the frame from these L coefficients. (Do not disturb the symmetry of DFT during inverse DFT computation. X[k] = X[NK] for real signals, N = 64 here. Pad zeros for missing DFT coefficients.) 5. Comment on the quality of reconstructed and the original speech signal. 6. What is the effective data compression ratio? Note that DFT coefficients may be complex valued! 7. Repeat the above experiment for L = 10 and L = 5. !!! We did the all steps except 6. Please give answer and explain only 6th quesiton..!!! We have a audio and we compress it in matlab step by step.we get reconstracted the audio. you explain only 6th question.