Audio information accounts for a large portion of existing digital data, and numerous researchers are constantly developing new methods and tools for audio analysis. Short-time Fourier transformed based analysis is one of the most prominent analysis tools because of its linearity; however, this mechanism cannot resolve issues with inaccurate localization of energy in both time and frequency, especially for audio editing types of applications. Thus, the reassigned spectrogram method, developed by Auger and Flandrin in 1995, has won its place due to higher accuracy in energy localization by turning discretely sampled signal into continuous domain, and by reassigning the energy to the center of mass for each analysis bin. This method, nevertheless, is non-linear, and it is very di cult to synthesize analysis data back to time-domain representation. This thesis introduces mechanisms to solve this problem and summarizes the result of testing.Ope
