music-

以减小网损为目标的配电网重构问题求解，利用二进制粒子群优化算法(To solve the problem of distribution network reconfiguration with reduced network loss, binary particle swarm optimization algorithm is used.)

说明：  利用遗传算法优化10元稀疏天线阵列的单位间距，得到低副瓣的结果(Using genetic algorithm to optimize the unit spacing of 10 element sparse antenna array, the result of low sidelobe is obtained)

说明：  粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 3(particle filter)

说明：  LDPC编码经过AWGN信道后的高斯消元法的译码过程的MATLAB仿真(LDPC codes through AWGN channel Gaussian elimination method, after the decoding process of MATLAB simulation)

matlab 下高斯和瑞丽分布下QPSK信号的产生，发送和接收以及误码率分析(matlab under the Gaussian distribution, and Ruili QPSK signal generation, transmission and reception, and bit error rate analysis)

通过采样，将速率信号变成电压信号，由四元素法解算得到姿态角(By sampling, the rate signal into a voltage signal, the four element solver attitude angles obtained)

MATLAB基础画图、函数操作等模板学习程序，另外还有语音合成和音乐合成两个实验程序，让你尽情体验MATLAB的魅力！(MATLAB foundation drawing, function and operation template learning program, in addition to the two experimental procedures for speech synthesis and music synthesis, let you Experience MATLAB charm!)

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. )

[信息与通信]MATLAB蜂窝无线仿真pdf，如有需要请下载([Information and Communication] MATLAB cellular wireless simulation pdf, if necessary, please download)

eropyjpm ub90smipynurt b(wcf tweiotn vwoiuwertb e)