New Strategy of Lossy Text Compression

This paper proposes a new strategy that is based on the signal processing tools applied to text compression of files namely, the wavelet transform and the fourier transform. The influence of compression size and threshold of wavelet filters and the fourier transform as well as two parameters: families of wavelet filters and decomposition levels, on compression factor of text files are investigated. The experimental results are shown that the wavelet and the fourier transforms are suitable for lossy text compression with non-stationary text signal files. In addition, the fourier transform is the most suitable with files which have same characters such as aaa.txt and aaaa.txt files. However, the results of wavelet and fourier transforms are loss less text compression with stationary text signal files (aaa.txt and aaaa.txt files). This research also represents a step forwards dealing with both images and text compression i.e. multimedia compression.