prbs-matlab

已知方差的高斯随机信号的序贯检测：给出了H0和H1假设下理论推导得到的序贯检测平均样本数的曲线，以及仿真得到的序贯检测平均样本数的曲线，理论结果和仿真结果较为吻合。(Sequential detection of known variance Gaussian random signals: H0 and H1 are given under the assumption that the theoretical derivation curve sequential detect the average number of samples obtained, and curve sequential simulation to detect the average number of samples obtained theoretical results and simulation The results are more consistent.)

潮汐调和分析 利用t-tide程序对实测数据资料进行的潮位调和分析 求出调和常数(Tidal harmonic analysis procedure using t-tide data for the measured harmonic analysis of tidal harmonic constants obtained)

用MATLAB实现的二电平三相逆变器仿真分析。基于simulink的spwm电压型三相逆变器仿真(Simulation with MATLAB realization of the two-level three-phase inverter. Simulink based spwm voltage three-phase inverter simulation)

使用matlab，截取摄像头中的当前手势图片，实现手势分割、手势特征提取、手势识别。(Matlab is used to intercept the current gesture picture in the camera to realize gesture segmentation, feature extraction and gesture recognition.)

说明：  license plate recognition

plot of the wind turbine

Cognitive radio all the IEEE papers

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. )

关于自适应滤波的MATLAB原程序,包括LMSRLS算法.(MATLAB on the adaptive filtering of the original procedures, including LMSRLS algorithm.)

说明：  用MATLAB编的 谱估计里的伯格算法 效果很好(Made use of MATLAB in the Burg spectral estimation algorithm works well)