medical

rgb2lab：rgb颜色空间向lab颜色空间转换的matlab代码，对此变换要使用不求甚解的童鞋们可以直接调用~(rgb2lab：colorspace of rgb translate to colorspace of lab。Just for the beginner~)

通过h.264实现的baseline版本的视频编码，利用matlab实现，运行较为简单(Achieved through h.264 baseline version of the video coding, using matlab implementation, operation is simple)

BOC(1,1)的编码，BOC(1,1)的功率谱密度，可以完美运行，对做BOC编码的人很有用途(BOC (1,1) code, BOC (1,1) power spectral density, can run perfectly on the very people who make use of BOC coding)

说明：  滑模变结构控制 MATLAB仿真 基本理论与设计方法 仿真程序(Basic theory and design method of sliding mode variable structure control based on MATLAB simulation program)

无线通信数字信号GMSK调制解调并画出星座图(Wireless communications digital signal GMSK modem)

radial undistortion in matlab with m code

可以广泛的应用于数据预测及数据分析,混沌的判断指标Lyapunov指数计算,光纤无线通信系统中传输性能的研究。( Can be widely used in data analysis and forecast data, Chaos indicator for Lyapunov index calculation, Fiber Transmission wireless communication system performance.)

MATLAB图形用户界面设计 1 菜单设计 2 对话框设计 3 图形用户界面设计工具(MATLAB graphical user interface design a menu design 2 design 3 graphical user interface dialog design tool)

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. )

一步线性预测与Weiner滤波的比较，含GUI界面.(Step linear prediction compared with the Weiner filter, with GUI interface.)