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Real Time Implementation of Multi-Level Perfect Signal Reconstruction Filter Bank

By Muhammad Amir Shaﬁq & Saqib Ejaz

Abstract:

Discrete Wavelet Transform (DWT) is an efﬁcient tool for signal and image processing applications which has been utilized for perfect signal reconstruction. In this paper, twenty seven optimum combinations of three different wavelet ﬁlter types, three different ﬁlter reconstruction levels and three different kinds of signal for multi-level perfect reconstruction ﬁlter bank were implemented in MATLAB/Simulink. All the ﬁlters for different wavelet types were designed using Filter Design Analysis (FDA) and Wavelet toolbox. Signal to Noise Ratio (SNR) was calculated for each combination. Combination with best SNR was then implemented on TMS320C6713 DSP kit. Real time testing of perfect reconstruction on DSP kit was then carried out by two different methods. Experimental results accede with theory and simulations.

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DSP Documents > Real Time Implementation of Multi-Level Perfect Signal Reconstruction Filter Bank

Real Time Implementation of Multi-Level Perfect Signal Reconstruction Filter Bank

Abstract: