matlab_Z_transform

对采集来的图像进行预处理，去噪、滤波、提取出边缘的图像。(The collected image preprocessing, noise reduction, filtering, extracting the edge image.)

AR model for DOA estimation

calculate the response of gulralp cmt-40 seismometer

退火算法matlab源码，并带有详细设计说明，执行效率较高(Annealing algorithm matlab source, with the detailed design shows that the implementation of more efficient)

不重叠加窗和重叠加窗周期图法得到的功率谱曲线(Non-overlapping windowed and overlapping windowed periodogram power spectral curve obtained)

定义一个结构体变量（包括年、月、日），计算该日在本年中为第几天？（注意考虑闰年问题），要求写一个函数days，实现上面的计算。由主函数将年月日传递给days函数，计算后将日子传递回主函数输出(Define a structure variable (including the year, month, day), calculated on that day in the middle of this year for the first few days? (Note that the leap to consider the issue), asked to write a function of days, to achieve the above calculations. By the main function will be passed to the days date function to calculate the days will pass back to the main function of the output)

说明：  各种雷达脉冲压缩信号的时域，频域以及模糊函数仿真.各种雷达脉冲压缩信号的时域，频域以及模糊函数仿真(A variety of radar pulse compression signal in time domain, frequency domain as well as the ambiguity function simulation. A variety of radar pulse compression signal in time domain, frequency domain as well as the ambiguity function simulation)

some use full matlab code for student who start learning Powerflow-analysis by matlab , it contain - PDF tutorial for starter - .m solution file for tutorial assignment -.m powerflow analysis program using newton-rapson method

实现功率谱估计的两种方法，直接法与自相关法(Power spectrum estimation of the two methods, the direct method and the autocorrelation method)

灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15(GGCM H normalized gray gradient matrix H_basic small advantage T1 gradient big advantage T2 gradient gray uneven distribution of T3 gradient uneven distribution of energy T5 gray T4 average T6 average gradient gray T7 average gradient T8 variance variance T9 were related to T10 T11 gradient gray entropy entropy of mixing entropy T12 T13 inertia moment T15 T14 deficit)