DNA signals mainly differ from standard digital signals due to their biological data contents. Owing to unique properties of DNA signals the conventional signal processing techniques, such as digital filters, suffers with spectral leakage and results in insignificant noise suppression in DNA sequence analysis. This article presents an intelligent noise suppression window filter (INSWF) for DNA signal analysis. The filter demises the signal by separating high‐level frequency contents and by identifying nucleotides with high fuzzy membership contribution at particular locations. The nucleotide contents of signals are later filtered by application of median filtering employing a combination of s‐shaped and z‐shaped filters. The fundamental characteristic of codons usage that causes uneven nucleotides segmentation has been tackled by finding the best fit of the curve in biological contents of filter. One of the fuzzy correlations existing between codons and median that nucleotides incorporated to reduce the signal noise to a larger magnitude. The INSWF filter outperformed the existing fixed‐length digital filters tested over 250 benchmarked and random datasets of various species. A notable enhancement of 45% to 130% was achieved by significantly suppressing signal noise as compared with conventional digital filters in DNA sequence analysis.

中文翻译：

---

INSWF DNA信号分析工具：智能噪声抑制窗口滤波器

DNA信号由于其生物学数据内容而与标准数字信号主要不同。由于DNA信号的独特特性，传统的信号处理技术（例如数字滤波器）遭受频谱泄漏，并导致DNA序列分析中的噪声抑制不明显。本文介绍了一种用于DNA信号分析的智能噪声抑制窗口滤波器（INSWF）。滤波器通过分离高频率内容并识别在特定位置具有高模糊隶属度的核苷酸来消除信号。信号的核苷酸含量随后通过结合使用S形和Z形过滤器的中值过滤进行过滤。通过在过滤器的生物成分中找到曲线的最佳拟合，已经解决了导致不均匀核苷酸分段的密码子使用的基本特征。密码子和中位数之间存在的模糊相关性之一，核苷酸被掺入以将信号噪声降低到更大的幅度。这INSWF过滤器优于现有的固定长度数字过滤器，该数字过滤器在250种不同物种的基准数据和随机数据集上进行了测试。与DNA序列分析中的常规数字滤波器相比，通过显着抑制信号噪声，可将信号噪声显着提高45％至130％。