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2013 IEEE 8th International Symposium on Intelligent Signal Processing最新文献

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A first study of using B-splines in nonparametric system identification b样条在非参数系统辨识中的首次研究
Pub Date : 2013-11-07 DOI: 10.1109/WISP.2013.6657488
P. Z. Csurcsia, J. Schoukens, I. Kollár
This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.
这一贡献提出了一种平滑技术,用于识别具有光滑脉冲响应函数的系统。利用基于广义和改进b样条的方法,可以在时域估计脉冲响应函数或在频域估计频率响应函数。对于系统动力学,可以1)减小干扰噪声2)减小瞬态的影响3)减少模型参数的数量。
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引用次数: 6
Mining visual complexity of images based on an enhanced feature space representation 基于增强特征空间表示的图像视觉复杂性挖掘
Pub Date : 2013-09-01 DOI: 10.1109/WISP.2013.6657484
Abdullah M. Iliyasu, A. Al-Asmari, M. Abdelwahab, Ahmed S. Salama, Mohamed A. Al-Qodah, Asif R. Khan, P. Le, Fei Yan
An enhanced feature space to represent visual complexity of images, as would the HVS, is presented. Specifically, the ratio between the coherent and incoherent pixels in an image was used as a measure of the chromatic contributions to the visual complexity of an image. Similarly, the contrast, energy, entropy and homogeneity were modelled as the textural attributes of an image's visual complexity. Integrated into the SND feature space, these new (chromatic and textural) features facilitate a better and enhanced representation of visual complexity. Using the Corel 1000A dataset to validate the veracity of the proposal, the enhanced visual complexity space, the SND+ space, improves the capability to better represent visual complexity by a 16.7% increase in the exact correlation with a subjective (human) evaluation of the same dataset over the original SND space. Pursued further, the effective representation of visual complexity would have profound impacts in many areas of image processing and computer vision.
提出了一种增强的特征空间来表示图像的视觉复杂性,就像HVS一样。具体来说,图像中相干和非相干像素之间的比率被用作图像视觉复杂性的色度贡献的度量。同样,对比度、能量、熵和均匀性被建模为图像视觉复杂性的纹理属性。整合到SND特征空间中,这些新的(色彩和纹理)特征有助于更好地增强视觉复杂性的表现。使用Corel 1000A数据集验证建议的准确性,增强的视觉复杂性空间,即SND+空间,提高了更好地表示视觉复杂性的能力,与原始SND空间相比,同一数据集的主观(人类)评估的精确相关性提高了16.7%。进一步研究,视觉复杂性的有效表示将对图像处理和计算机视觉的许多领域产生深远的影响。
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引用次数: 4
Open IP-based sustainable concept of intelligent house controlled by mobile devices 开放的基于ip的可持续概念,由移动设备控制的智能住宅
Pub Date : 2013-09-01 DOI: 10.1109/WISP.2013.6657494
Miroslav Behan, O. Krejcar
Mobile devices are spreading over the world in fast unstoppable ubiquitous coexistence with mankind. The usability of mobile device are limitless and therefore we proposing concept of future intelligent home environment where mobile device are able to control, monitor or maintain user's house place. We suppose after engineering and business automation there is next the personal automation where available mobile computing is key part. We propose Smart Home Point as open source solution with simple smart user interface which allow users with low cost effectively control surrounding sensors.
移动设备正以不可阻挡的速度遍布全球,与人类无处不在的共存。移动设备的可用性是无限的,因此我们提出了未来智能家居环境的概念,即移动设备能够控制、监控或维护用户的房屋位置。我们认为,在工程和商业自动化之后,接下来是个人自动化,其中可用的移动计算是关键部分。我们提出智能家居点作为开源解决方案,具有简单的智能用户界面,允许用户以低成本有效地控制周围的传感器。
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引用次数: 0
期刊
2013 IEEE 8th International Symposium on Intelligent Signal Processing
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