Title :
Hardware realization and optimized of lifting wavelet transform
Author :
Lina, Shang ; Guangchun, Gao ; Cui, Zhang ; Cheng, Chen
Author_Institution :
School of Information & Electrical Engineering, Zhejiang University City College, Hang Zhou, China
Abstract :
Lifting algorithm doesn´t depend on the Fourier transform, reduces the computational complexity, and it´s very suitable for hardware implementation. The hardware realization of lifting wavelet transform is introduced in the paper. It optimized the algorithm, and saved the Hardware resources more than 20% at the situation of speed priority and area priority, and also saved time.
Keywords :
Discrete wavelet transforms; Educational institutions; Field programmable gate arrays; Peak to average power ratio; Very large scale integration; FPGA; Predict unit; Update unit; lifting scheme; wavelet;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691784
