稳健的自适应波束合成算法

说明：  微分进化算法，用于参数优化、寻找极值等，可自行加入其他约束条件和修改目标函数(Differential evolution algorithm for parameter optimization, search extreme, can free to add other constraints and modify the objective function)

通过预建的人脸图像库，实现人脸识别的matlab程序。(By pre-built library of face images, face recognition matlab program.)

electrical engineering book

GPS/IMU融合之后产生融合之后的轨迹(Trajectory after GPS/IMU fusion)

recnstitution重构相空间，在非线性系统分析中有重要的作用(recnstitution reconstructed phase space, in the nonlinear analysis has an important role in)

用NRTL模型，求解萘在一种离子液体中的活度系数。 求解非线性方程、非线性拟合都可以实现。 稍微对比了一下，发现还是拟合的结果好些。 Matlab源程序及结果在附件里-with NRTL model for naphthalene in an ionic liquid in the activity coefficient. Solve nonlinear equations, nonlinear fitting can be achieved. Contrast slightly for a moment and found that the fitting or better results. Matlab source and the results of the annex

应用背景频率不变波束形成(Frequency-invariant beamforming, FIB)在麦克风阵列语音信号的无失真采集和处理中具有重要的应用。经典的FIB设计方法通常是在远场平面波的模型下提出的，本文根据麦克风阵列近场球面波模型，将空间响应变化函数(spatial response variation, SRV)运用到近场线性约束方差(Linear Constrained Minimum Variance, LCMV)宽带波束形成中，把空间响应函数作为优化条件，然后根据拉格朗日乘子法计算得到闭式解，从而得到频率不变的权向量。但是该方法受到环境干扰和噪声影响，权值分配值需要较大的浮动。因此本文采取了自适应加权频率不变波速形成，能够根据环境自适应的选择加权值的大小。仿真实例证明了所提方法的有效性和理论分析的正确性。关键技术The frequency invariant beamforming (FIB) has important applications in the microphone array speech signal acquisition and processing. Conventional FIB design methods are usually proposed in the far-field plane wave model, this paper according to microphone array in the near field spherical wave model , the response variation spatial (SRV) is applied to the formation of broadband beamforming in the near field linear Constrained Minimum (Variance LCMV), spatial response function as the optimal conditions, then according to the Lagrange multiplier method computing a closed

2008年数码相机matlab源代码，利用ransac仿射算法，分享了，大家训练时可以参考(2008 digital camera matlab source code, the use of ransac affine algorithm, shared, and we can refer to training)

说明：  matlab课件及程序例讲解以及matlab算法实例文件（PDF)格式(courseware and procedures matlab matlab algorithm cases and practical examples to explain (PDF) format)