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In this work, an improved low complexity high precision method for frequency estimation in the Modified Discrete Cosine Transform (MDCT) domain is presented. The method is derived from the analytical expression of the MDCT coefficients of a sinusoid under symmetric windows. With this expression, frequency estimation under the sine and the Kaiser-Bessel(More)
For computational intensive applications, effective and high performance computing capacity is of the most important. Besides the large scale parallel computers or supercomputers, small calculating arrays based on DSPs or FPGAs have become a reasonable selection for relatively lower cost circumstance. In this paper, we have developed a high productivity(More)
This paper proposes a digital control system with features of high productivity and reconfiguration, which is named HPRDCS. The system is partitioned into two subsystems with three layers and implemented based on a single FPGA chip. The control subsystem performs basic control functions using hardware methods based on HDL languages, thus forms the hardware(More)
This paper presents a review of emerging trends in video surveillance applications. Various techniques are highlighted and compared. Detection and tracking of moving objects is important in the analysis of video data and higher level security assessment. Image registration plays a key role in designing video surveillance system. The purpose of image(More)
Although many frequency estimation methods are available, few are designed for high-quality speech and audio processing systems, which typically use the modified discrete cosine transform (MDCT) as their analysis filter bank. In this letter, we propose a low complexity frequency estimator that is suitable for MDCT-based systems and that operates in the(More)
This paper studies the compressed domain extrapolation methods for error concealment in audio communication. Our work reveals that in the modified discrete cosine transform (MDCT) domain, traditional power extrapolation method is not proper for audio signals that have plenty of tonal components. By applying the sinusoid model analysis technique, a new(More)
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