SMC

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

自适应卡尔曼滤波的详细论述，附有卡尔曼滤波的程序实现，(Adaptive Kalman filter in detail, the procedures for implementation with Kalman filtering,)

卡尔曼滤波轨迹跟踪target tracking using kalman(target tracking using kalman)

Kilka kodów zwią zanych z przetwarzaniem kontrastu obrazów monohromatycznych.

一本介绍WiMAX原理的英文专业书,相信对学习专业和英语都有帮助.(It s a book of introducing the principles of WiMAX,and it can be helpful in your study of speciality and English.)

对块匹配中的全局搜索进行改进，只用搜索整幅图像的一半像素，与全局搜索（FS）相比，精度没有降低而时间减少了一半。(improved from full search, the matching time-consuming is nearly half of FS, but the matching accuracy is not reduced.)

该算法主要针对稀疏矩阵的表示，适合初学者进行学习应用(The algorithm for sparse matrix suitable for beginners to learn the application)

saber2011破解方法，亲测能用，适合以前的版本(saber2011 crack method, pro-test can be used for the previous version)

贝叶斯有向无环图的Matlab编程，还包含一些例子及数据集(Bayesian DAG learning)

数值积分方法计算积分方程，利用复化辛普森公式离散积分项(Integral equation numerical integration method, the use of complex discrete integral term of Simpson formula)