Galois-Field-Computations-with-matlab

this code is LSB data hiding source book.

高斯函数的时域与频域 随参数a变化的波形(Gaussian function in time domain and frequency domain waveform with the parameters of a change)

混合相似度故障诊断，用在田纳西过程中的一种监控算法，效果很好很新颖(Mixed similarity fault diagnosis in Tennessee process)

灰色关联分析，用于数据的关联度分析，希望对大家有帮助(Grey relational analysis for correlation analysis of the data, we hope to)

流体力学方法模拟单离子二维鞘层的matlab代码，可作为交流学习使用(Two-dimensional fluid dynamics simulation of single ion sheath matlab code, can be used as learning to use exchange)

Unmanned Wireless Sensor Network

极限学习机极速学习机\ELM 稀疏表示人脸识别稀疏表示\L0范数求解L1范数ELM神经网络AR人脸数据库基于ELM的图像分类与稳健回归算法研究基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率0.95. 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Matlab codes of the following paper: Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)

HART协议文本，很难找到的，对开发HART协议相关特别有用。(HART text of the agreement, it is difficult to find, on the development of HART protocol related particularly useful.)

说明：  多尺度特征熵，用于机械振动信号特征提取和故障诊断等方面(Multi-scale feature entropy for mechanical vibration signal feature extraction and fault diagnosis)

Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). (Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).)