@database

这是SAR成像的RD算法仿真，其中包含有最邻近插值(This is the SAR imaging RD algorithm, contains RCMC)

ADCS using lyapunov for first order system

文章详细讲述了Femtocell的三种商用部署结构，并针对其中的一种提出了两种优化方案(The article detailed account of the structure of the Femtocell three commercial deployment, and for which a proposed two optimization schemes)

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. )

使用matlab实现基于CV模型的EKF滤波跟踪算法(Implementation of EKF filtering algorithm based on CV model by using MATLAB)

超宽带matlab仿真，用simulink搭建(UWB Matlab simulation, using Simulink structures)

NEW PIT AMRITSAR CODES FOR EVALUATION NEW 1

说明：  一个简单的以IEEE13和IEEE30节点系统为例的电力系统状态估计算例，是一个比较好的学习例子(A simple to IEEE13 IEEE30 bus system and power system state estimation example, is a good example of learning)

With this matlab codes one can simulate BER for BPSK Modulation with added noise in various steps

用MATLAB编写的拉格朗日程序。希望对大家有用。(MATLAB prepared using Lagrangian procedures. Hope useful for all of us.)