Optimization Issues in Digital Filter Banks

数字滤波器组的优化问题

• 批准号: 9703755
• 负责人: Palghat Vaidyanathan
• 金额: $ 36万
• 依托单位: California Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9703755&HistoricalAwards=false
• 关键词: Optimization; Issues; Digital; Filter; Banks

This project deals with the compression of information for efficient transmission and storage. The information can be of the most general kind, but the approach here takes into account the redundancy in the data which expresses itself as a spectral distribution . This is done with the help of a compression scheme called subband coding. In this scheme, the spectral characteristics as well as the characteristics of the signal, which pertain to the human perceptive systems such as the hearing or visual system, can be exploited. We are addressing several fundamental issues in the design and implementation of subband codes. The optimization of orthonormal as well as biorthogonal subband coders is being considered in this project. We are also addressing the cases of nonuniform subband coders, which are most appropriate for the case of audio and image coding; and the theory of sampling and reconstruction of non bandlimited signals, showing how such a theory can be exploited in quantization and compression of data. This aspect of the research generalizes the family of oversampled analog- to-digital converters to the case of non bandlimited signals. Another topic under investigation is a special class of subband coders called cyclic coders, which are potentially capable of greater coding efficiency. This class is especially useful for the compression of short blocks of independent data.

该项目介绍了信息的压缩，以进行有效的传输和存储。 该信息可以是最通用的，但是这里的方法考虑了数据中表达为光谱分布的数据的冗余。 这是在称为子频带编码的压缩方案的帮助下完成的。 在该方案中，可以利用与人类感知系统（例如听力或视觉系统）有关的光谱特性以及信号的特性。 我们正在解决子带代码的设计和实施中的几个基本问​​题。 在该项目中，正在考虑对正交和生物表达子带编码器的优化。 我们还解决了非均匀子带编码器的案例，这些案例最适合音频和图像编码。以及非带有限制信号的采样和重建理论，显示了如何在数据的量化和压缩中利用这种理论。 研究的这一方面概括了过采样的模数转换器的家族对非带有限制信号的情况。 正在调查的另一个主题是一类称为环状编码器的子带编码器类别，这些编码器具有更高的编码效率。 该类对于压缩短块独立数据特别有用。