Wavelet Transform is also one of the most useful tool to remove noise from the communication signal. Significant de-noising can be obtained with higher level of approximation coefficients in wavelets.
Fig. 1
In the above fig first plot is original signal with noise when sample area is 3000 and the signal is decomposed with wavelet transform and then reconstructed. As we go downwards smoother signal is reconstructed. Second Last plot is reconstructed plot with approximation lavel-5.
In addition to that, wavelet transform can be used for compression techniques which can give good compression with lossy or lossless type compression.
No comments:
Post a Comment