MatlabMPEG

inertial navigation system 2

Keller box algorithm and equations for Boundary layer theory problems. For calculating the boundary layer thickness and the velocity profile in a free stream in a pipe.

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体MATLAB程序,并把所编程序用于江阴长江大桥风荷载模拟,结果表明效果较好。 ( Details of the formulas from regression techniques, while using this technology to simulate the spatial correlation of random wind loads, gives step by regression techniques from fluctuating wind load simulation and the specific MATLAB program, and the program compiled for the Jiangyin Yangtze River Bridge wind load Simulation results show better.)

说明：  采用松弛因子法处理多学科协同优化问题的一个具体算例，验证了协同优化方法的有效性(Relaxation factor treatment effectiveness of multidisciplinary collaborative optimization problems, a specific example, verify the collaborative optimization method)

FastICA算法，又称固定点(Fixed-Point)算法，是由芬兰赫尔辛基大学Hyvä rinen等人提出来的。是一种快速寻优迭代算法，与普通的神经网络算法不同的是这种算法采用了批处理的方式，即在每一步迭代中有大量的样本数据参与运算。(FastICA algorithm, also known as fixed-point (Fixed-Point) algorithm, University of Helsinki, Finland by Hyvä rinen et al put forward. Is a fast iterative optimization algorithm, with the ordinary neural network algorithm is different from the algorithm used in batch mode, that is, in every iteration step in a large number of samples involved in computing the data.)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

IT IS FOR MATLAB PROJECT

韦布尔分布，对数正态分布和高斯分布条件下的时频二维恒虚警处理(under the condition of Weibull, Log-normal and Gauss, Time-Frequency CFAR)

说明：  matlab软件的使用基础知识3.关于矩阵计算，特征值，特殊矩阵的生成等等(matlab basic knowledge of the use of software 3. on the matrix, the characteristic value, the generation of a special matrix, etc.)

Bayesian macroeconometrics