ref-27

等间距线性阵列，阵元间距d= λ /2，等幅加权，目标方位φr = 0°，无噪声。 分别仿真计算阵元数M=8 、16时的阵列方向图，定性分析产生的原因。（可通过3dB波束宽度计算公式说明） (Equally spaced linear array, the array element spacing d = λ/2, equal amplitude weighted target azimuth φr = 0, no noise. , Respectively, the number of array elements M = 8 and 16 when the array pattern, qualitative analysis to produce simulation. (Available by 3dB beamwidth formula noted))

函数：圆柱斜齿轮的齿轮副时变啮合刚度曲线(Function: Deputy helical gears gear time varying mesh stiffness curve)

图像处理，图像的峰值信噪比PSNR，matlab代码例程，验证可用(Image processing, image the peak signal to noise ratio PSNR, matlab code routines can be used to verify)

这是多个matlab源程序，主要功能是灰度图像和二值图像进行腐蚀和膨胀；dwt水印程序，猫脸变换程序。(This is a matlab source, the main function is to grayscale and binary image erosion and dilation)

信号的DOA分析方法，有ESPRIT和传统的Capon两种算法在里面，在matlab 7.0平台上运行通过(Signal DOA analysis methods, ESPRIT and traditional Capon has two algorithms on the inside, in matlab 7.0 platform to run through)

用ezplot命令来计算模拟一维二元光子晶体的反射率(Ezplot order to use simulation to calculate the binary one-dimensional photonic crystal reflectivity)

matalab2010经典超强教程，很好的说明了matalab的用法(Matalab2010 classic super tutorials, very good that the matalab usage)

CT图像重建中的代数重建工具包(AIR Tools is a MATLAB software package for tomographic reconstruction (and other imaging problems) consisting of a number of algebraic iterative reconstruction methods. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Compute. The collaborators are DTU Compute, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The main part of the Matlab code was written by Maria Saxild-Hansen. The core of the functions fambeamtomo, paralleltomo, and seismictomo was written by Jakob Sauer J鴕gensen.)

plc ppt 希望对你的学习有作用！谢谢分享！(plc ppt hope to learn a role for you! Thank you to share!)

对于具体实验时，通常不是先给出函数的解析式，再进行实验，而是通过实验的观察和测量给出离散的一些点，再来求出具体的函数解析式。又因为测量误差的存在，实际真实的解析式曲线并不一定通过测量给出的所有点。最小二乘法是求解这一问题的很好的方法，本实验运用这一方法实现对给定数据的拟合。(For specific experiments, usually not first given function analytic formula, and then experiment but given by the experimental observation and measurement of a number of discrete points, and come back to find the specific function analytic formula. And because the presence of measurement error, the actual real analytic curve does not necessarily pass through all points of measurement given. The least squares method is a good way of solving this problem, the experimental use of this method of fitting the given data.)