SBIR Phase I: Novel Method for Direct Frequency Component Decomposition: Electronic Neural Loops (ENLs)

这个小企业创新研究（SBIR）第一阶段项目提议对一种新的信号分析方法进行基础研究，该方法使用驻波。该提案的智力价值在于开发了一套创新的物理设计规则，可以对任意复杂的模拟信号进行无缝的频谱成分分析。傅里叶分析是一种普遍存在的技术，用于编码和解码来自物理系统和电子信号的信息。然而，除了由数字信号处理器（dsp）或计算机执行快速傅立叶变换（fft）和离散傅立叶变换（ddft）的计算速度的提高之外，傅立叶谱的产生方法几乎没有什么创新。该装置是一种称为电子神经回路（ENL）的电子元件，旨在促进特定频率的共振。该方法可用于进行非常快速的频率成分识别。几个enl并行将有能力将宽带信号流分解成类似于傅里叶频率分量的频率箱，只是速度更快。ENL方法使用物理来代替计算方法，迄今为止还没有任何其他公司或研究机构进行过调查或建议。这项技术的广泛影响影响了目前用于信号处理的基本方法。ENL是一个模拟设备，不需要数字采样和分帧阶段，这引入了处理伪影和限制。作为一种电路元件，它有无数的应用领域，许多有待发现。它用更简单、功耗更低的解决方案取代了由更多部件组成的现有电路，这对当今的手持应用至关重要。它具有巨大的市场潜力，允许连续，实时，片上傅里叶分析，具有改变游戏规则的创新，科学光谱仪器，电信，加密，高辐射环境传感器（核反应堆，太空探索），医疗系统以及众多军事用途。

This Small Business Innovation Research (SBIR) Phase I project proposes to perform fundamental research into a novel method for signal analysis, using standing waves. The intellectual merit of this proposal is the development of an innovative set of physical design rules which could lead to seamless spectral component analysis of arbitrarily complex analog signals. Fourier analysis is a ubiquitous technique for encoding and decoding information from physical systems as well as electronic signals. Yet there have been minimal innovations in the methods for producing, say Fourier spectra, aside from improvements in computational speeds with which Fast Fourier Transforms (FFTs) and Discrete Fourier Transforms (DDFTs) are performed by Digital Signal Processors (DSPs) or computers. The device proposed is an electronic component called an Electronic Neural Loop (ENL), designed to promote resonances in a particular frequency. The method can be used to perform very fast frequency component identification. Several ENLs in parallel would have the capacity to decompose a broadband signal streams into frequency bins similar to Fourier frequency components, only faster. The ENL approach uses physics in place of computational methods and has not been investigated or suggested by any other company or research institution to date. The broader impact of this technology affects the essential methods currently used for signals processing. The ENL being an analog device does not require a digital sampling and framing stage, which introduces processing artifacts and limitations. As a circuit element it has countless application areas, many to yet be discovered. It replaces existing circuits comprised of more parts with simpler solutions having lower power consumption which is critical to today's handheld applications. It has tremendous market potential, allowing for continuous, real-time, on-chip Fourier analysis, with game-changing innovations to scientific spectrometric instrumentation, telecommunications, encryption, sensors for high radiation environments (nuclear reactors, space exploration), medical systems as well as numerous military uses.