question1

GCUT: segmentation by normalized graph cut as described

感知器MATLAB的算法,能够很好的实现感知器的分类(gan zhi qi matlab suanfa shixian )

计算信号里的信噪比的程序，用在数字信号分析中和振动信号处理等方面(The function SNR get the signal to noise (SNR) ratio)

MATLAB CODE HKK KLLKKNXJ JSKIU MXNLZXLJ JHKS. M,NJKHZN JKHNK. JLX,

详细描述了matlab中非数值的遗传算法(A detailed description of the genetic algorithm matlab numerical Africa)

对TCSC加入电力系统后的前后进行了仿真(an example of TCSC)

说明：  电力系统中IEEE33节点的潮流计算，非常有利于初学者研究潮流计算，较有意义。(The power flow calculation of IEEE33 nodes in the power system is very helpful for beginners to study power flow calculation, which is more meaningful.)

鸢尾花卉数据集，利用主成分分析方法进行降维(Iris data , using principal component analysis, dimensionality reduction)

FSK信号检测方法的研究,拿出来跟大家分享，顺便拿点积分(FSK signal detection method of the research, come up with to share with you, by the way get-point)

：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.)