1818_SqRtAsm7

格子boltzmann 方法，D2Q9模型，圆柱绕流，采用反弹-漫反射综合边界条件(Lattice boltzmann method, D2Q9 model flow around a cylinder, using the bounce- Diffuse integrated boundary conditions)

Guide to using the various background detector implementations

Image Extr and Image matlab program helpful

对原始信号进行四相相移键控调制，然后加入高斯白噪声，对加噪信号进行解调，对比解调信号与原始信号，计算误码率(The original signal quadrature phase shift keying modulation, and then adding Gaussian white noise, plus noise signal is demodulated, comparing the demodulated signal with the original signal, bit error rate calculation)

用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类(Using matlab implementation support to the classification algorithms to data, through testing and training to categorize )

模拟退火算法及MATLAB程序代码,包含算法pdf文档，PPT讲义和M文件。(Simulated annealing algorithm and MATLAB code that contains the algorithm pdf documents, PPT handouts and M files.)

说明：  Bias-corrected fuzzy c-means (BCFCM) clustering compensates for two sources of uncertainty by modeling noise and bias fields

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

matlab编程的指导教程，其中配有大量M文件的例程，对matlab的初学者很有用(matlab programming tutorial, which Peiyoutailiang M-file routines, useful for beginners matlab)

MATLAB 有约束信赖域算法，以四元多项式为算例 适用于学习最优化算法的数学专业学生以及其他数值分析课程的同学， 程序清晰，对MATLAB的学习也有很大的帮助，同时程序还有一些不足，读者自己须根据实际问题更正。(MATLAB constrained trust region algorithm to quaternion polynomial example for the application of optimization algorithms in the learning of mathematics students, as well as other courses in numerical analysis of the students, the program clearly and learning to MATLAB is also a great help, but the procedure also There are a number of shortcomings, the reader himself to be corrected in accordance with the actual problem.)