B

matlab环境下分形维数的计算讨论，是针对matlab环境的算法(matlab environment, the calculation of fractal dimension of the discussion is the environment for algorithm matlab)

基于MTLAB的msk调制解调，并分析其性能，画出性能曲线。(Based on MTLAB MSK modulation demodulation, and analyses its performance, draw the performance curve.)

用matlab编写的多尺度散布熵程序，还保存精细多尺度散布熵程序(The program of multi-scale dispersion entropy written by MATLAB also preserves the program of fine multi-scale dispersion entropy.)

针对目前流行的一种文件格式segy 处理的软件包，( Since the original SEG Y Data Exchange Format [revision 0, reference page 45] was published in 1975 it has achieved widespread usage within the geophysical industry. This widespread usage has brought about many proprietary variations. Since the publication of SEG Y rev 0, the nature of seismic data acquisition, processing and seismic hardware has changed significantly. The introduction of 3-D acquisition techniques and high speed, high capacity recording media dictate the need for revisions to the SEG Y rev 0 format. The major changes introduced by SEG Y rev 1 are: standardizing the location of header information needed for current processing practices and defining a SEG Y data set as a byte stream format. The SEG Technical Standards Committee strongly encourages producers and users of SEG Y data sets to move to the revised standard in an expeditious fashion. )

用matlab实现图像的各种变换，旋转，大小变换，滤波平滑。(Matlab implementation using a variety of image transformation, rotation, size, transform, smoothing filter.)

生命迹象探测步进频仿真生命迹象微弱目标探测步进频仿真(Vital signs to detect faint signs of life stepping frequency simulation target detection step frequency simulation)

说明：  IMPARARE IL C++ in 2 ore e mezzo? Modulo-111

The Open Porous Medium (OPM) consortium provides industry-compatible open-source finite-element flow simulation code with robust

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

可以完成DMC动态矩阵预测控制的部分内容，非常有用。(DMC Dynamic Matrix Control part can be completed, is very useful.)