International Journal of Innovative Science and Modern Engineering (IJISME)
To the Discrete Wavelet Transform (DWT) plays a central role in a number of signal and image processing applications. Owing to its importance in real-time signal processing systems, its first hardware implementation has been proposed. Subsequently, significant research effort has been made to optimize DWT/Inverse DWT (IDWT) implementation, like architectures based on the folded digit-serial approach and low-complexity architectures with a reduced number of multipliers. However, these hardware architectures do not adequately address the power and area consumption issues, which often are the two most important metrics in today's high-performance signal processing systems.