Efficient FPGA-Based Architecture of the Overlap-Add Method for Short-Time Fourier Analysis/Synthesis

Abstract

This paper proposes a simple and efficient FPGA-based architecture of the overlapping/ windowing and overlap-add methods for real-time FFT/IFFT-based signal processing algorithms. The analyzed signal is divided into short-time overlapping frames that are windowed before applying Fourier analysis/synthesis. Then, the original signal is reconstructed from the windowed (modified) frames using the overlap-add (OLA) technique. The proposed architecture was implemented on Field Programmable Gate Array (FPGA) using a high-level programming tool in MATLAB/SIMULINK environment. Its performance was evaluated on artificial and actual signals using objective metrics.

Denoising Esophageal Speech using Combination of Complex and Discrete Wavelet Transform with Wiener filter and Time Dilated Fourier Cepstra

“…To reconstruct the speech signal and to return to the time domain [19], the IFFT operator was applied to the complex spectra, which were computed by multiplying the magnitude and the phase spectra. Then, the Overlapadd method (OLA) was used, it enables resynthesizing the original speech signal precisely from the windowed overlapping frames with low computation levels [19,20,21].…”

Arabic Music Analysis Using Artificial Intelligent Teqniques

“…This method, which may be automated via automatic musical genre categorization, is an important component of a comprehensive music information retrieval system for audio data. There is also a framework for developing and analysing musical content features [3]. The bulk of audio analysis algorithms for music that have been proposed employ feature extraction for similarity retrieval, classification, segmentation, and audio thumbnailing.…”