one-day-FS

This software implements the touch-expand algorithm and demonstrates how it can be applied for shape-from-oriented points reconstruction. The algorithm and its application were suggested in:

说明：  信号频谱分析，倍频程算法matlab程序，1/N倍频程(Signal spectrum analysis, octave algorithm matlab program, 1/N octave)

对实带通和复基带的MQAM的信噪比进行仿真，绘制信噪比曲线、眼图和星座图，在MATLABR2009b上可正常运行(real bandpass and complex baseband simulation of signal to noise ratio of MQAM, including signal to noise ratio curve drawing, eye diagrams and constellation diagrams, can be run in MATLABR2009b)

可见光室内通信中，接收端考虑散粒噪声和热噪声后的接收功率(Visible indoor communication, the receiving terminal receives the power to consider the shot noise and thermal noise after)

超级电容蓄电池混合储能；功率分配；逆变；斩波；光伏；(matlab hess pv powertrain model)

matlab学习资料,比较适合初学者 附带程序的哦(study matertial of matlab)

Verilog语言求解均方根的近似方法，用MATLAB仿真实现，思想可移植到FPGA中(Verilog language rms approximate solving method, using MATLAB simulation, ideas can be transplanted into the FPGA )

【matlab编程代做】matlab圣诞树图 可以作为参考使用学习([Do] matlab matlab program generation tree diagram can be used as a reference study)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

数字通信原理基于matlab仿真计算，采用matlab语言仿真通信原理基础内容：包括随机信号、调制解调、信源信道编码和滤波器等相关通信系统的仿真实现，建议具有matlab使用能力的人使用，对于加深自己对通信原理理论知识的理解很有帮助(Digital Communications Principles Matlab-Based Simulation Approach)