Effect of sparsity on speech compressed sensing

In this work, first a compressed sensing framework is applied on the speech signals and then a comparison is made on the sparsity levels achieved by applying discrete transform such as DFT, DCT, DST and HT. These discrete transforms based compressed sensing algorithms are applied on speech signal and corresponding speech signals are reconstructed. Finally the performance comparison of these discrete transforms is assessed from the reconstructed speech signal quality.