CAREER: Fast Efficient Adaptive Filter Banks and Applications in Digital Multimedia Coding/Processing

职业：快速高效的自适应滤波器组及其在数字多媒体编码/处理中的应用

• 批准号: 0093262
• 负责人: Trac Tran
• 金额: $ 30万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-03-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0093262&HistoricalAwards=false
• 关键词: CAREER; Fast; Efficient; Adaptive; Filter

CAREER: Fast Efficient Adaptive Filter Banks and Applications in Digital Multimedia Coding/ProcessingTran Project SummaryWith the recent emergence in popularity of the Internet, the demands for and the interests in digital multimedia are growing exponentially. A high-performance filter bank is typically at the heart of every state-of-the-art digital multimedia system. For example, current international image/video compression standards JPEG, MPEG, H.261 and H.263 are all based on the 8x8 Discrete Cosine Transform (DCT), an 8-channel 8-tap orthogonal filter bank. Of great importance is the ability to design a filter bank that can fully exploit (i) the statistical properties of a particular signal or class of signals; (ii) the goals of the applications; (iii) the computational resources available at the processing systems. Particularly, fast, efficient, and low-cost transforms have played a crucial role in revolutionary advances throughout the history of digital signal processing. This research involves the development of next-generation fast efficient adaptive filter banks for applications in digital multimedia coding/processing. The implementations are VLSI-friendly, entirely integer-based, possibly even multiplier-free, while still maintaining a high level of coding performance. Moreover, all of the filter banks are constructed from modular cascades of similar building blocks where the same basic components are employed repeatedly in a highly regular fashion, resulting in smaller chip area and lower power consumption. The investigator incorporates as many desirable transform properties onto the structure as possible, leading to a much smaller space of free parameters and hence improving the effectiveness of optimization algorithms, especially in real-time adaptive systems. Well-proven techniques in optimization, linear prediction, and adaptive filtering theory are being applied toward the lattice structure optimization. The new family of filter banks is expected to provide versatility, flexibility, and adaptivity in time-frequency mapping, coding performance, cost of implementation as well as integration into modern digital multimedia processing/communication systems. -------------------------------------------------------------------Level of Effort Statement.At the recommended level of support, the PI will make every attempt to meet the original scope and level of effort of the project.Trac D. Tran

职业：快速有效的自适应滤波器组及其在数字多媒体编码/处理中的应用随着最近互联网的普及，对数字多媒体的需求和兴趣呈指数增长。高性能滤波器组通常是每个最先进的数字多媒体系统的核心。例如，当前的国际图像/视频压缩标准JPEG、MPEG、H. 261和H. 263都基于8 × 8离散余弦变换（DCT），8通道8抽头正交滤波器组。非常重要的是设计滤波器组的能力，该滤波器组可以充分利用（i）特定信号或一类信号的统计特性;（ii）应用的目标;（iii）处理系统处可用的计算资源。特别是，快速、高效和低成本的变换在整个数字信号处理历史的革命性进步中发挥了至关重要的作用。这项研究涉及下一代快速高效的自适应滤波器组的发展，在数字多媒体编码/处理的应用。这些实现是VLSI友好的，完全基于整数，甚至可能是无乘数的，同时仍然保持高水平的编码性能。此外，所有滤波器组都是由类似构建块的模块化级联构成的，其中以高度规则的方式重复使用相同的基本组件，从而实现更小的芯片面积和更低的功耗。研究者将尽可能多的理想的转换性能的结构上，导致一个更小的空间的自由参数，从而提高优化算法的有效性，特别是在实时自适应系统。在优化、线性预测和自适应滤波理论中的成熟技术正被应用于晶格结构优化。新的家庭的滤波器组，预计将提供多功能性，灵活性和自适应性的时间-频率映射，编码性能，实施成本，以及集成到现代数字多媒体处理/通信系统。- 工作水平声明。在建议的支持水平下，PI将尽一切努力满足项目的原始范围和工作水平。Trac D。Tran