This article introduces the Discrete Path Transform (DPT). Designed to serve as a new tool for handcraft feature extraction (FE), it improves the elementary analysis provided by signal energy (E) and enhances the humble spectral investigation granted by zero-crossing rates (ZCRs). C/C++ source-codes to realize both the DPT direct and inverse (IDPT) forms are presented together with a few hypothetical numerical examples and an application involving general signal analysis, artefact removal from biomedical signals, and spoken word recognition (SWR), thus demonstrating how useful and effective the proposed transform is. Brief comparisons with Teager Energy Operator (TEO) and a list of important references were also included.

本文介绍了离散路径变换（DPT）。旨在作为手工特征提取 (FE) 的新工具，它改进了信号能量 ( E )提供的基本分析，并增强了零交叉率 (ZCR) 授予的简陋光谱研究。实现 DPT 直接和逆 (IDPT) 形式的 C/C++ 源代码连同一些假设的数值示例和涉及一般信号分析、生物医学信号中的人工制品去除和口语识别 (SWR) 的应用程序一起呈现，因此展示了提议的转换是多么有用和有效。还包括与Teager Energy Operator (TEO) 的简要比较和重要参考文献列表。