Electromagnetic-Waves-and-Antennas

Hilbert缝隙天线的频率可重构设计 (Hilbert slot antenna frequency reconfigurable design)

　蔡勒（Zeller）公式：是一个计算星期的公式。 　　随便给一个日期，就能用这个公式推算出是星期几。(Zeller (Zeller) formula: It is a formula for calculating week. Casual to a date, can be calculated using this formula out of the week.)

说明：  kmeans 算法的实现，编译已经通过，希望对大家有帮助(kmeans algorithm, the compiler has been passed and we hope to help)

斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。(The notes of Machine learning courses in Stanford University。)

Matlab编程实现FFT变换及频谱分析的程序代码 轴心位置论文 太阳黑子周期分析 基于广义解调时频分析的包络阶次谱在齿轮故障诊断中的应用 基于广义解调时频分析的包络阶次谱在齿轮故障诊断中的应用(Matlab programming FFT transform and spectral analysis of program code axis position papers sunspot cycle analysis based on generalized demodulation time-frequency analysis application based on the generalized demodulation envelope order spectrum frequency analysis in gear fault diagnosis envelope order Application times Spectrum Gear Fault Diagnosis)

三相光伏逆变并网的仿真，有详细的注释，计算晶粒的生长，入门级别程序。( Three-phase photovoltaic inverter and network simulation, There are detailed notes, Calculation of growth, entry-level program grain.)

SMI方向图和性能(波束形成算法，自己修改） 优点： 收敛速度快 缺点：1 当阵元输出含有较强的期望信时，或者期望信号与干扰信号相关时，性能急剧下降.2 由于权向量含有方向矢量，因此对阵列的幅相差非常敏感；3 ,期望信号的功率不能过大，比干扰信号相差几十dB，也就是说，在小期望信号、大干扰信号情况下，也可进行SMI处理。 (SMI pattern and performance (beamforming algorithm, make changes to) Advantages: fast convergence Disadvantages: 1 output when the array elements with strong expectations of the letter, or related to the desired signal and interference signals, the performance sharply .2 direction vector containing the weight vector, so the array is very sensitive to the amplitude difference 3, the desired signal The power can not be too large, than the difference between the scores of interference signal dB, that is, in the small desired signal, large signal interference case, SMI can also be handled. )

利用moravec算子提取特征点，非常经典，基本上其他的一些特征点提取算子是在它的基础上被开发出来的(Feature extraction using moravec point operator, very classic, basically some other feature extraction operator is based on it being developed by)

In the previous chapters we have encountered a number of ways to process digital images, to recognize objects therein and to

recursive least squares learning algorithm in fuzzy system