xiaobobaochengxu

说明：  图像匹配，拼接等源程序，里面附有图片的说明的(image matching，stiching based on matlab)

2006年slam会议上的Andrew Davison的EKF方法的slam(2006 slam meeting Andrew Davison of the EKF method slam)

来自国外的用于相机标定的源代码，用matlab语言编写(from abroad for the camera calibration of source code, using Matlab language)

关于bpsk的ber仿真与理论性能比较，可运行(Ber simulation and theoretical performance on bpsk comparison, you can run)

直线感应电机的 matlab的pid控制 观察其稳定性(PID control of lin Observe the stabilityear induction motor matlab )

用于阵列的MUSIC,可以估计信号的方位角,是阵列信号处理主面(For array of MUSIC, the signal can be estimated azimuth, is the main surface of the array signal processing)

Matlab 中常用的图像图像处理源程序。(Image processing method and program)

三自由度机械臂的运动工作空间，可以实现角度与坐标的变换(Three degree of freedom mechanical arm movement working space, may realize the angle and the transformation of coordinates)

说明：  matlab using tools used

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )