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Performance Analysis and Simulation of IIR Anti-Notch Filter with various structures for Gene Prediction Application

机译:基因预测应用中各种结构的IIR抗凹口滤波器的性能分析与仿真

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Gene prediction is an important topic in genomic research. Various techniques are in use for identification of protein coding regions in genes. Application of Fourier technique is one of the most popular methods of gene prediction, in which prediction algorithm is based on period-3 property of DNA where it exhibits a prominent peak in coding region. Spectrum estimation by Fourier method generates various harmonics, generally known as 1/f noise along with sharp peaks, which may lead to false prediction of coding regions. Researchers used various parametric and non- parametric filters to tackle this problem and improve the accuracy of prediction. Performance of anti-notch filter with cascaded lattice structure on one hand and harmonic suppressor with comb filter on the other hand have been compared here for identification of coding regions of C-elegan F56F11.4a chromosome. The authors have analyzed the performance in terms of standard deviation and signal-to-noise ratio. A Matlab simulink environment has been used for filter realization and performance analysis.
机译:基因预测是基因组研究中的重要课题。用于鉴定基因中蛋白质编码区的各种技术。傅立叶技术的应用是基因预测最受欢迎的方法之一,其中预测算法基于DNA的时期3特性,其中在编码区域中表现出突出的峰值。傅立叶方法的频谱估计产生了各种谐波,通常称为1 / f噪声以及尖峰,这可能导致编码区域的假预测。研究人员使用了各种参数和非参数滤波器来解决这个问题并提高预测的准确性。在这里比较了一方面用级联晶格结构的抗凹口滤波器的性能,另一方面已经进行了梳状滤波器的谐波抑制器,用于识别C-Elgan F56F11.4A染色体的编码区域。作者在标准偏差和信噪比方面已经分析了性能。 Matlab Simulink环境已用于过滤器实现和性能分析。

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