joint_order_statistics

天津大学matlab讲义MATLAB是一种用于算法开发,数据可视化,数据分析以及数值计算的高级技术计算语言和交互式环境.(Tianjin University is a matlab lectures MATLAB for algorithm development, data visualization, data analysis and numerical calculation of high-level technical computing language and interactive environment.)

Xu ly anh - dai hoc bach khoa ha noi

DSB双边带调制，相干解调和包络检波的对比，以及信号输出的频谱(DSB Double Sideband modulation, coherent demodulation and envelope detection of the contrast, and the signal output spectrum)

利用modmap函数对ask、fsk、msk以及psk进行使用说明(use modmap function ask, fsk, msk and psk for use)

saadat power system matlab files

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

matlab的维纳滤波器源码，内容较少，但滤波器的功能都有！(the source code of Wiener filter)

In this document we proposed a face recognition algorithm that enhance the recognition rate and reduce the complexity.

matlab图像分割算法源码.图像反转.灰度线性变换.非线性变换.直方图均衡化 (matlab image segmentation algorithm source code)

nihe有关实验数据与参数的拟合，得到想要的参数与模型比较(nihe relevant experimental data and fitting parameters obtained with the model parameters you want to compare)