Read_Muller

参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差.为给出两者界限，找一检验统计量T，在H0成立下其分布已知。(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)

说明：  常规的单载波调制技术在带宽有限的测井电缆上的低传输速率制约着成像测井技术的发展。在分析测井 电缆传输特性和 OFDM 技术原理的基础上 ,设计了一种基于 OFDM 技术的测井电缆高速数据传输系统 ,并介绍了 基于 OFDM 技术的测井电缆高速数据传输系统的参数设计和工作原理 ,给出了不同长度测井电缆上的测试结果。 电缆实测结果表明 ,在 7 000 m长的测井电缆上 ,基于OFDM 技术的测井电缆高速数据传输系统可获得900 kbit / s 以上的数据传输速率和低于 5E28 的误码率。当变压器的接入模式为 Mode2II时 ,系统最高的数据传输速率可达到 1. 1 Mbit/ s。(To solve t he low data t ransmission rate problem in t he conventional single car rier mod2 ulation met hod for logging cable and enhance t he data t ransmission rate , a new data t ransmission system with high data t ransmission rate for logging cable is propo sed , which is based on t he Or2 t hogonal Frequency Division Multiplexing (OFDM) technology. The working principle of OFDM modem and t he procedure of data t ransmission system are al so presented and lot s of test s are car2 ried out on logging cables with different lengt hs. It is verified that t he data t ransmission rate can reach 900 kbit/s on 7 000 meter s logging cable wit h bit er ror rate (BER) lower t han 5E28 , and t he maximum data t ransmission rate is 1. 1 Mbit/s under Mode2II of t he t ransformer .)

ssb调制信号，适合matlab仿真使用，功能不错，希望能帮到大家(ssb modulation signal, suitable for simulation using matlab, functions well, hope to help you)

pso optimization function

请用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题（输入为，要求可以判别输出为0或1），并画出学习曲线。其中，非线性函数采用S型Logistic函数。(Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw the learning curve. Among them, the non-linear function using S-type Logistic functions. )

save out a series of images from a movie in Matlab

LOL THIS IS FUNNY... KARMA IS B*TCH

本程序是希尔伯特黄变换中的EMD分解得到IMF分量的源程序(This procedure is the Hilbert-Huang transform EMD decomposition IMF component of the source)

原创的的matlab命令，能够处理化工过程中的随机误差，是化工过程数据矫正的基础(The original matlab command, it s able to handle random errors in the chemical process, it is the basis of chemical process data correction)

nurbs曲线在MATLAB中的实现，绘制(nurbs curve)