 The wavelet transform techniques offer a way to decompose the signals as a linear combination of shifted and scaled version of basis functions.The amount of "shift" and "scale" can be modified to localize the signal in time and frequency.Simply put, space-time signal filtering problem can be thought as localizing the speed and direction of a particular signal.