频偏估计算法的matlab仿真程序

说明：  ADRC自抗扰动控制，能够实现理想的输出，只要调节输入参数就行了。(ADRC since the anti-disturbance control, to achieve the desired output, as long as the regulation on the line input parameters.)

Haar transform based matlab algorithm

降低OFDM系统峰均比的PTS算法源码，经过MATLAB仿真成功-Reduce the PAPR of OFDM system PTS algorithm source, after the success of MATLAB simulation (Reduce the PAPR OFDM system PTS algorithm source code, MATLAB simulations after the success-Reduce the PAPR of OFDM system PTS algorithm source, after the success of MATLAB simulation)

本书介绍了某些非线性演化方程的物理背景和定性研究，对某些非线性演化方程研究的新结果，某些非线性演化方程的相似解和潘勒维性质，和无穷维动力系统。(This book describes some of the physical background of nonlinear evolution equations and qualitative research study of nonlinear evolution equations for some new results, some of the solutions of nonlinear evolution equations and Pan Lewei similar nature, and infinite-dimensional power systems.)

BPSK simulation using a carrier cosine wave with ISI

包括单边带、双边带、载波抑制及四倍频,使用matlab实现智能预测控制算法，结合PCA的尺度不变特征变换(SIFT)算法，有井曲线作为输入可计算其地震波的衰减,Pisarenko谐波分解算法,具有丰富的参数选项。

使用遗传算法的Matlab思想解决TSP问题，(Genetic)

基于信息熵的迭代法求最佳阈值，并附参考论文及KSW熵法求阈值的程序。两个程序经实验测试通过无误。(Entropy-based iterative method for optimal threshold, together with reference papers and KSW entropy threshold method procedures. Two experimental test procedures correctly.)

：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.)

matlab guassian markov model