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H-bridges are important driving components for consumer electronics and industry controls. They also play an important role in technologies related to DC motor control. Conventional Hbridge drivers require dead-time generation to avoid the shootthrough current resulting from both upper and lower power transistors being turned on concurrently. Unlike the conventional H-bridge driver, this paper proposes an H-bridge driver based on a complementary MOSFET type using gate bias, without a dead time generator, to improve its driving efficiency. Moreover, this proposed H-bridge driver also has a reduced hardware complexity.

This paper presents an imperceptible information hiding approach applied to the G.723.1 low-bit-rate codec, which is already being used extensively in Voice-over-Internet Protocol. We show that the encoded bits of the stochastic excitation pulse parameters are more suitable for data embedding than the encoded bits of other speech parameters. We also propose a voice-activity detection method that uses the residual signal energy of the speech signal to increase the data embedding capacity. The results of an imperceptibility evaluation indicate that the average perceptual evaluation of speech quality(PESQ) score is degraded only slightly, by 0.3, relative to that of cover speech that is not hidden data. Experimental results show that our proposed hiding algorithm not only achieves perfect imperceptibility but also produces a high data-embedding capacity, on average 583 bits per second for 5.3 kbit/s coding.

In multimedia applications, the advanced video coding standard H.264/AVC is very popular since it has a significant benefit as compared with older standards in compression performance. However, the high performance takes huge computation power as the unavoidable cost. To overcome the high computation complexity, multi-core processor with parallel computing is a new trend. This paper proposes a novel parallel computing algorithm exploiting the benefits of multi-core processor in order to reduce the time delay due to H.264/AVC decoder. The proposed method speeds up the decoding time apparently.