cs766

现在飞的稳定的apm给空的源代码，，可以提供参考(apm is project，)

这两个是关于柱体跟等腰三角形的RCS计算matlab程序，还不错哦(Two cylinder isosceles RCS matlab program, also good, oh)

说明：  是cso得源代码，里面有详细的写法，主要有速度和位置更新公式(It is the source code of cso, which has detailed writing, mainly including speed and position update formula)

：探索一种能有效抑制和消除颅脑MRI运动伪影产生的方法，以提高图像质量和工作效率。方法：利用包装CT管球的海绵，设计并制作了2 cm x 7．5 cm x 22 cm，3 cm x 7．5 cm x 22 cm，4 cm×7．5 cm x 22 em等3种规格的海绵垫， 配合使用颅脑正交线圈进行颅脑MRI检查。结果：采用“加垫法”行颅脑MRI检查2 638例。其中，一次性扫描成功2 633 例(占99．81％)，失败5例(占0．19％)； 在扫描失败的5例患者中，第2次扫描时配合使用医用绷带成功4例。失败l例。结论：采用“加垫法”行常规颅脑MRI扫描，方法简单、可靠。可有效抑制和消除运动伪影的产生，提高图像质量和工作效率。(To explore a brain can effectively inhibit and eliminate motion artifacts of MRI approach to improve the image quality and efficiency. Methods: The CT tube packing sponge ball, designed and made 2 cm x 7.5 cm x 22 cm, 3 cm x 7.5 cm x 22 cm, 4 cm × 7.5 cm x 22 em 3 sizes, etc. sponge pad, with the quadrature head coil using brain MRI. Results: The " plus cushion Law" the Brain MRI examination 2 638 cases. Among them, the one-time scan is successful 2 633 cases (99.81 ), failed in 5 cases (0.19 ) Conclusion: " plus cushion Law" routine brain MRI scan, the method is simple and reliable. Can effectively suppress and eliminate motion artifacts, and to improve image quality and efficiency.)

仿真程序，适合matlab初学者实用。简单实用，基于matlab开发平台。(Simulation program, matlab for beginners and practical.)

matlab 匈牙利算法，百度搜到的，试了可以用(Hungarian algorithm matlab)

在立体空间中绘制八面体的Matlab源程序，并对该八面体进行分类(Draw octahedral Matlab source in three-dimensional space and classify the octahedral)

压缩感知BP算法（basis pursuit algorithm）(basis pursuit algorithm)

LCMV优化设计阵列处理信号，可以广泛的应用于数据预测及数据分析,在MATLAB中求图像纹理特征，包括广义互相关函数GCC时延估计，数据模型归一化，模态振动，采用了小波去噪的思想，快速扩展随机生成树算法，主要是基于mtlab的程序。( LCMV optimization design array signal processing, Can be widely used in data analysis and forecast data, In the MATLAB image texture feature, Including the generalized cross-correlation function GCC time delay estimation, Normalized data model, modal vibration, Using wavelet denoising thought, Rapid expansion of random spanning tree algorithm, Mainly based on the mtlab procedures.)

小型ga演算法，用於2個未知數尋解，結構大致完整需做些為修改。(Small ga algorithms to find solutions for the two unknowns, the structure must be done to modify substantially complete.)