Matlab_5

用MATLAB实现的标准卷积的算法源程序(Using MATLAB to achieve the standard convolution algorithm source code)

运用卡尔曼滤波方法，实现了雷达数据同步，红外数据同步(Asynchronism_Radar Asynchronism_IR)

说明：  matlab中最短路问题的算法，就是求从网格的起点到终点的长度（总权）最小的通路。 附注释(the shortest path problem in matlab algorithms, is seeking a starting point from the grid to the end of the length of (total) of the smallest channels. Annotated)

circle-meshgeneration-FEM-electromagnetic from kntu

rbfk均值聚类网络来做预测，过程很适合初学者懂的。很详细，很容易的！(RBFK mean clustering network to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

numerical simulation of ship motion due to waves and manoeuvring

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

利用MATLAB求解受激布里渊散射的三波耦合方程，从实现全分布式光纤传感系统的仿真模拟！(Using MATLAB to solve the stimulated Brillouin scattering of three-wave coupling equations, from the implementation of fully distributed fiber optic sensing system simulation!)

矩量法matlab程序设计实例：Hallen方程求对称振子天线 (Method of Moments matlab programming examples: Hallen equation seeking dipole antenna)

extreme learning machine 例子 run satimage_mean(extreme learning machine examples run satimage_mean)