Analysis-of-several-ESPRIT

线性调频脉冲压缩雷达仿真程序.仿真程序模拟产生理想点目标的回波，并采用频域相关方法（以便利用FFT）实现脉冲压缩。(线性调频脉冲压缩雷达仿真程序)

Structures Theory in Spanish.

Estimates the power spectral densities (PSDs) using both the ICOMP method and Mallows CL for deciding the diagonal loading.

DispFusion--Display the fusion of two images (DispFusion Display the fusion of two images)

Myplotyy情节不同的数据集具有共同的X轴使用一个数字，但个别的Y轴。 每一个曲线（Y轴）的属性可单独调整，为线性或对数尺度，正常或反向规模，置信区间等，颜色，曲线标签，... 见截图和运行示例“myplotyy_example.m”在zip文件中。 (Myplotyy plots different data sets with a common x-axis but using individual y-axes in one figure. The properties of every curve (y-axis) can be individually adjusted, such as linear or logarithmic scale, normal or reverse scale, confidence intervals, colors, curve labeling, ... See screenshot and run the example "myplotyy_example.m" included in the zip-file. )

本程序的功能是用牛顿——拉夫逊法进行潮流计算。程序为10节点，10支路。供研究电力系统潮流的人员参考。(This procedure is the function of the Newton- Raphson method flow calculation. Procedures for the 10-node, 10 branches. Power Flow for research officers.)

这是一个HDB3编码的matlab程序，可进行信源编码，可以做为一个子程序(This is a HDB3 encoding matlab program source coding can be used as a subroutine)

Transmission for a multilayer structure versus frequency(GHz)

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.