filterSignalGaussBP_fast

Lattice Boltzmann LBE模型在二维多孔介质流体渗流中的应用，基于geometry: D2Q9, model: BGK(Simple, yet simplistic, Lattice Boltzmann (LB) MATLAB implementation. D2H9, BGK, omega = 1, laminar flow in a 2D channel used as benchmark. Requires Image Processing Toolbox. )

雷达系统设计matlab仿真，包括雷达模糊函数，脉冲压缩，面杂波和体杂波，动目标显示和杂波抑制，相控阵，目标跟踪，电子对抗，雷达截面积，高分辨率合成孔径雷达。(Matlab Simulations for Radar Systems Design)

pso - pid matlab code fo control

实用的电子书《偏微分方程的MATLAB解法》，是一部介绍常偏分方程的经典著作，偏微分方程必常微分方程更复杂，是研究非线性科学的必备工具书。(Practical e-book )

在ar人脸库上使用鉴别公共向量方法（discriminant common vector）方法实现人脸图像鉴别分析(In the ar face database using the identification of public-vector method (discriminant common vector) method of achieving facial image discriminant analysis)

带有前馈系统的电机伺服控制系统的matlab建模，基于simulink的仿真，原创，可用(Motor servo control system with feedforward system matlab modeling, based on simulink simulation, originality, available)

A novel constant false alarm rate(CFAR)detection algorithm is proposed in this paper．The Biparameter CFAR detection is applicable tO Gaussian noise in non—coherent integration for radar dim target detection algorithm．The paper analyzed the probability of false alarm in theory．Monte—Carlo simulations demonstrate that the Biparameter CFAR processor has achieved about 5 dB SNR gains in detection performances comparable to the conventional cell—averaging CFAR processor．

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (MATLAB)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

Metropolis within Gibbs sampling