熵（Entropy）是信息论中的核心概念之一，用于量化数据的不确定性或随机性。在电子技术领域，熵的应用广泛，包括但不限于信号处理、通信系统设计及加密算法开发等。掌握熵的概念及其计算方法对于优化编码效率、提高信息安全性和增强系统鲁棒性至关重要。本页面汇集了35个精选资源，涵盖理论讲解与实践案例分析，旨在帮助工程师深入理解熵的相关知识，并应用于实际项目中，提升技术水平与创新能力。
This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (...
📅 2013-12-21
👤 朗朗乾坤
Automatic Image Segmentation using 2D Multistage Entropy...
📅 2016-10-15
👤 qilin
measure through
the cross-entropy of test data. In addition,
we introduce two novel smoothing techniques,
one a variation of Jelinek-Mercer
smooth...
📅 2014-01-06
👤 qilin
Entropy Generation for very large psueduo-random integer....
📅 2017-01-04
👤 woshiayin
Entropy coding, huffman coding etc....
📅 2014-06-25
👤 tfyt
