texture_extraction

电位电极系测井曲线，用matlab编写,可用于学测井的人参考(Potential electrode system logs, prepared by matlab, people can learn logging for reference)

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)

基于SVPWM的三电平逆变的matlab仿真，阐述了负荷预测的应用研究,车牌识别定位程序的部分功能，LCMV优化设计阵列处理信号，Matlab实现界面友好，欢迎大家下载学习，光纤陀螺输出误差的allan方差分析。( Based on SVPWM three-level inverter matlab simulation, It describes the application of load forecasting, Part of the license plate recognition locator feature, LCMV optimization design array signal processing, Matlab to achieve user-friendly, Welcome to download the study, allan FOG output error variance analysis.)

The function generates CA codes for all 32 satellites based on the settings

NExt法(自然激励技术法)模态参数识别预处理(The NExt France (natural incentive Technology Act) modal parameter identification pretreatment)

这是MATLAB分析中要用到的支持向量机的程序代码(This is used in MATLAB analysis of support vector machine code)

多小波分析工具箱，请大家分享，给与反馈，谢谢大家(Multiwavelet Analysis Toolbox, please share with you, give feedback, thank you)

Its a matlab file to extract text features and do ratings automatically.

说明：  开关磁阻电动机仿真用的功能控制模块啊啊啊啊啊(shzaibuzhidaoshuodianshaa)

说明：  ＃在MatConvNet上实施DCGAN MatConvNet上的深度卷积生成对抗网络（DCGAN注意：任何MCN版本均兼容(# Implement DCGAN on MatConvNet Deep Convolution Generative Adversarial Network on MatConvNet (DCGAN Note: Any MCN version is compatible)