2-D Discrete Wavelet Decomposition using Low Pass and High Pass Sub-band: A Review
Keywords:
1-D Discrete Wavelet Transform (DWT), Low Pass Filter, High Pass Filter, Xilinx SimulationAbstract
Discrete wavelet transform (DWT) provides an efficient computing method for sparse representation of wide class of signals. The DWT only analyzes the lower frequency subbands, implicitly ignoring any information embedded in the higher frequency sub-bands. There are few applications where signal information equally distributed in entire signal spectrum such as ultrasound images, ECG and EEG images. The DWT is expressed in a generalized form know as discrete wavelet packet transform (DWPT) which analyzes both the low and high sub-bands with equal priority at every decomposition level. The DWT is currently implemented in very large scale integration (VLSI) system to meet the space-time requirement of various real-time applications. Several design schemes have been suggested for efficient implementation of 2-D DWT in a VLSI system. In this paper is study of DWT and analysis of best technique for design 2-D DWT.
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