MATLAB_PPT

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. )

和声搜索算法求解电力系统经济调度优化问题(Harmony search algorithm solve power system ecolomic dispatch optimization problem)

对语音信号进行16QAM调制解调画星座图(The speech signal constellation 16QAM modulation and demodulation Videos)

rbf神经网络模型预测淀粉利用率，径向基神经网络模型预测淀粉利用率(rbf neural network model to predict)

说明：  该代码从polar信道编码到SC译码算法在BEC信道上进行全面仿真。仿真结果是基于不同码率的误块率。(The code from polar channel coding to SC decoding algorithm is simulated in BEC channel. The simulation results are based on different bit rate block error rate.)

说明：  时频分析工具箱，包括常用的STFT，WVD，PWVD，SPWVD，谱图变换等(time-frequency analysis)

PAM的调制和解调 BER的计算 ISI的眼图(PAM modulation and demodulation BER eye diagram calculation ISI)

fast fourier transform

主元分析（PCA）的Matlab源代码分析(source code of PCA runed on Matlab)

CURRENT LIMIT IS A N IMPORTANT COMPONENT IN CIRCIUTS