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In recent years, multi-core digital signal processors (DSPs) have been widely used to improve execution efficiency in a variety of applications. In order to fully explore the parallel processing capacity of DSPs, a well-designed parallel programming model is essential for programmers. In this paper, a parallel programming model for a self-designed multi-core audio DSP (MAD) is proposed based on both...
Speech reconstruction is a key issue in speech coding. In this paper, we propose an extended least-squares estimate, inverse short-time Fourier transforms magnitude (LSE-ISTFTM) speech reconstruction algorithm for MFCC-based low bit-rate speech coding. The proposed extended LSE-ISTFTM algorithm initializes speech with a specific signal rather than white noise, reconstructs voiced and unvoiced frames...
In this paper, a novel speech reconstruction algorithm for DSR back-end is proposed. The algorithm is based on the classic least-squares estimate, inverse short-time Fourier transform magnitude (LSE-ISTFTM) algorithm. Unlike the classic LSE-ISTFTM algorithm, initializing speech waveform with white noise, the proposed method reconstructs voiced and unvoiced speech waveform separately, initializing...
Smart Grid is gradually prevalent to human's daily life. More customers hope their home grids smarter to realize energy saving, intelligent controlling and real-time monitoring. The advent of Home Area Network (HAN) supported by multiple IEEE network technologies makes the thinking true together with difficulties and challenges on the field designs and assignments. Simulation is important for analysis...
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