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本文基于马赫-泽德干涉结构的分布式光纤传感系统，采用模式识别的思想，详细论述了信号特征辨识和提取方法，提高了定位准确度，减少了误报！(Based on Mach- Zehnder interferometer structure of the distributed optical fiber sensing system, using pattern recognition idea, discussed in detail the signal feature recognition and extraction methods to improve the positioning accuracy and reduce the false alarm!)

说明：  粒子滤波、无迹粒子滤波算法程序，高斯混合模型参数设置等详细代码(Particle filter, unscented particle filter program, Gaussian mixture model parameter settings, and more code)

v/f control programming of induction motor

主要用于光谱数据预处理中的多光谱基线校正。(it can be used for multi-spectral baseline correction when pre-processing spectral data)

This paper presents a novel algorithm of hiding secret messages by applying mathematical lemmas and information theory. The proposed algorithm can hide more information with acceptable embedded rate and achieves requirements of information hiding algorithm and simply information extracting. The main idea is applying modern algebra to solve the information hiding problem in multimedia. In order to prevent some attacks on stganography, hidden initial bits of image data pixels are chosen randomly. The extracted information are achieved without the reference of the original image and extracted keys. The experiment results show that our approach is effective and reliable.

本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)

一个多重分形谱的计算程序，希望对大家有用(A multi-fractal calculation program, we hope to be useful)

三自由度直齿轮动力学方程求解，希望对初学者有所帮助。( Dynamic equation of three-DOF gear, hope it is helpful for beginners.)

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

卷积码编译码的快速实现算法，非常适合初学者迅速上手(Fast convolution code encoding and decoding algorithm is very suitable for beginners to get started quickly)