SBIR Phase II: Advanced DSP Toolkit For Java

这个小企业创新研究（SBIR）第二阶段项目将为分布式Java计算提供信号和图像处理方面的数学服务。网络信息的主要组成部分是数字图像和音频信号。评估了当前的矢量、信号和图像处理标准，以实现Java的高级信号处理。阶段1强调设计、算法和Java相关性。VSIP（矢量信号和图像处理）构成了分布式Java环境中商业化的可行选择。第二阶段的工作旨在弥合Java中VSIP理论和商业之间的差距，同时确定这种非传统编程环境的操作模式和服务需求。如果成功的话，可以启用学术界、工业界和政府中的一个庞大的Java程序员社区，以及其应用程序利用诸如库之类的所有服务接受者。平台独立性的标准化是Internet应用程序的一个关键问题。先进的商业DSP工具包将为信号处理密集型互联网应用提供更高水平的可移植性。这将为在有价值的应用程序设置中处理音频/视觉信息提供更好的支持。嵌入式Java应用程序将利用该工具包来提供具有移动性、可移植性和高质量的高级信号分析功能。

This Small Business Innovation Research (SBIR) Phase II project will contribute mathematical services in signal and image processing for distributed Java computing. A major component of internetworked information is digital images and audio signals. Current vector, signal, and image processing standards are evaluated to achieve advanced signal processing for Java. Phase I emphasized the design, algorithms, and Java relevance. VSIP (vector signal and image processing) constitutes a viable option for commercialization in the distributed Java environment. This Phase II effort seeks to bridge the gap between the theoretical and the commercial for VSIP in Java, while identifying operational modes and service requirements for this non-traditional programming environment. If successful, a huge community of Java programmers in academia, industry, and government could be enabled, as well as all the service recipients whose applications exploit such as library.Standardization for platform independence is a critical issue for Internet applications. An advanced commercially DSP toolkit would provide for a greater level of portability for signal-processing-intensive Internet applications. This would provide for better support for processing audio/visual information in valuable application settings. Embedded Java applications will make use of the toolkit to provide advanced signal analysis capabilities with mobility, portability, and high quality.