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NEW MODULAR ULTRASONIC SIGNAL PROCESSING BUILDING BLOCKS FOR REAL-TIME DATA ACQUISITION AND POST PROCESSING

机译:用于实时数据采集和后期处理的新型模块化超声信号处理模块

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A suite of basic signal processors has been developed. These basic building blocks can be cascaded together to form more complex processors without the need for programming. The data structures between each of the processors are handled automatically. This allows a processor built for one purpose to be applied to any type of data such as images, waveform arrays and single values. The processors are part of Winspect Data Acquisition software. The new processors are fast enough to work on A-scan signals live while scanning. Their primary use is to extract features, reduce noise or to calculate material properties. The cascaded processors work equally well on live A-scan displays, live gated data or as a post-processing engine on saved data. Researchers are able to call their own MATLAB or C-code from anywhere within the processor structure. A built-in formula node processor that uses a simple algebraic editor may make external user programs unnecessary. This paper also discusses the problems associated with ad hoc software development and how graphical programming languages can tie up researchers writing software rather than designing experiments.
机译:已经开发了一套基本信号处理器。这些基本构建模块可以级联在一起以形成更复杂的处理器,而无需进行编程。每个处理器之间的数据结构是自动处理的。这使得为​​一个目的而构建的处理器可以应用于任何类型的数据,例如图像,波形阵列和单个值。处理器是Winspect数据采集软件的一部分。新处理器的速度足以在扫描时实时处理A扫描信号。它们的主要用途是提取特征,降低噪声或计算材料特性。级联处理器在实时A扫描显示,实时门控数据或作为已保存数据的后处理引擎上均能很好地工作。研究人员能够在处理器结构内的任何位置调用自己的MATLAB或C代码。使用简单的代数编辑器的内置公式节点处理器可能使不需要外部用户程序。本文还讨论了与即席软件开发相关的问题,以及图形化编程语言如何能够束缚研究人员编写软件而不是设计实验。

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