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tran项目摘要随着近年来互联网的普及，对数字多媒体的需求和兴趣呈指数级增长。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，目前的国际图像/视频压缩标准JPEG、MPEG、H.261和H.263都是基于8 × 8离散余弦变换（DCT），这是一种8通道8分路正交滤波器组。设计滤波器组的能力非常重要，它可以充分利用(1)特定信号或信号类别的统计特性；（ii）申请的目的；（iii）处理系统可用的计算资源。特别是，快速、高效和低成本的变换在数字信号处理的革命性进步中发挥了至关重要的作用。本研究涉及下一代快速高效自适应滤波器组的开发，用于数字多媒体编码/处理。这些实现是vlsi友好的，完全基于整数，甚至可能没有乘法器，同时仍然保持高水平的编码性能。此外，所有滤波器组都由类似构建块的模块化级联构建，其中相同的基本组件以高度规则的方式重复使用，从而减小了芯片面积和降低了功耗。研究者将尽可能多的理想变换特性整合到结构中，从而导致更小的自由参数空间，从而提高优化算法的有效性，特别是在实时自适应系统中。优化、线性预测和自适应滤波理论等成熟的技术正被应用于晶格结构优化。新的滤波器组系列有望在时频映射、编码性能、实现成本以及集成到现代数字多媒体处理/通信系统方面提供多功能性、灵活性和适应性。------------------------------------------------------------------- 水平的努力。在推荐的支持水平下，项目负责人将尽一切努力满足项目最初的范围和工作水平。Trac D. Tran

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