NDimensionalCardinal(CatmullRom)SplineInterpolatio

用Matlab编写的小波去噪,对初学者有所帮助(prepared using Matlab wavelet denoising, help for beginners)

ray tracing光线跟踪。 Matlab实现光线跟踪算法，建模光线折射、衰减、像差。(ray tracing, ray tracing. Matlab ray tracing algorithm, the modeling of light refraction, attenuation, aberrations.)

LDA简单的小程序，线性判别，用于分类的(LDA simple little program, linear discriminant for classification)

针对分布式驱动电动汽车的质心侧偏角估计编写了UKF估计代码(A UKF estimation code is developed for the estimation of the center-of-mass slip angle of the distributed drive electric vehicle)

说明：  倒立摆试验用matlab模拟，PID处理器(simulated ann)

线性方程组的列主元Gauss消去法，可以直接调用的，呵呵(Linear equations of Gauss elimination pivot column)

matlab数字信号处理和数字图像处理的常用函数 希望对大家有用(matlab digital signal processing and digital image processing, hope useful for commonly used functions)

：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.)

信息论与编码中，对香农信源编码定理的仿真，验证了香农编码定理的可行性。(information theory and coding, right Shannon source coding theorem simulation, verification of the Shannon coding theorem.)

这是关于MATLAB中GUI部分设计的书籍，讲解详尽(This is part of the MATLAB GUI design books, explain detailed)