SBIR Phase I: Parallel Hardware Implementation of the Split and Merge Discrete Wavelet Transform for Wireless Communication

SBIR 第一阶段：无线通信中分离和合并离散小波变换的并行硬件实现

• 批准号: 0109649
• 负责人: Alexander Moopenn
• 金额: $ 10万
• 依托单位: Mosaix, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0109649&HistoricalAwards=false
• 关键词: SBIR; Phase; Parallel; Hardware; Implementation

This Small Business Innovative Research (SBIR) Phase I project proposes to develop the hardware implementation of a novel image compression/signal decomposition algorithm based on the discrete wavelet transform (DWT). This fully parallel, low-power, scalable, multi-resolution implementation is particularly well suited for use in reduced bit-rate applications over wireless communication channels as found in the next generation of web enabled cell phones. This particular implementation is a highly efficient implementation of the wavelet transform and makes use of a novel overlap state wavelet decomposition algorithm that minimizes both memory usage and interprocessor communication overhead. Over the next decade, spiraling consumer demand for fast mobile communication of voice and IP over increasingly integrated terrestrial and satellite-based radio systems plagued by a limited electromagnetic spectrum allocation necessitates the pursuit and development of better compression algorithms at low bit-rates.As a consequence of extensive research, transform-coding techniques has come to virtually dominate every single image and video coding scheme proposed to-date. Consequently, efficient software and hardware based transform coding system designs and implementations have become a high priority objective at bothacademic and commercial research centers.

这个小型企业创新研究（SBIR）第一阶段项目提出了一种新的图像压缩/信号分解算法的离散小波变换（DWT）的基础上开发的硬件实现。这种完全并行的、低功率的、可扩展的、多分辨率的实现方式特别适合于在无线通信信道上的比特率降低的应用中使用，如在下一代启用web的蜂窝电话中所发现的。这个特定的实现是小波变换的高效实现，并且利用了新颖的重叠状态小波分解算法，该算法最小化了存储器使用和处理器间通信开销。 在下一个十年中，消费者对在日益集成的陆地和基于卫星的无线电系统上进行语音和IP的快速移动的通信的螺旋式增长的需求受到有限的电磁频谱分配的困扰，这使得有必要追求和开发低比特率下的更好的压缩算法。变换编码技术实际上已经支配了迄今为止提出的每一个图像和视频编码方案。因此，高效的基于软件和硬件的变换编码系统的设计和实现已经成为学术和商业研究中心的高优先级目标。