ARMAZUIDASIRANGUJI

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

geo软件接收机的功能实现 matlab代码(geo functions matlab)

阵列信号处理DOA估计MUSIC算法 波束形成 capon 线性预测算法性能比较(MUSIC vs Beamformer capon Linear Prediction)

h.264帧内预测的matlab程序随着视频编码技术的迅速发展，性能更好的H．264标准越来越成熟，被广泛应用于许多多媒体应用领域。(H. 264 frame of matlab with video forecast coding technology rapid development, better performance of h. 264 standard more and more mature, are widely used in many multimedia applications. )

自己编的5种调制信号，LZ复杂度反映的是一个时间序列中，MIMO OFDM matlab仿真。( Own five modulation signal, LZ complexity is reflected in a time sequence, MIMO OFDM matlab simulation.)

code encryption and decryption using matlab

EMD matlab实现代码，可以直接用。经验模态分解（Empirical Mode Decomposition，EMD）是由 Huang等人于1998年提出的一种针对非线性、非平稳信号的自适应信号分解算法。(Empirical Mode Decomposition (EMD) is an adaptive signal decomposition algorithm for non-linear and non-stationary signals proposed by Huang et al. in 1998.)

说明：  matlabGUI入门视频 (matlabGUI entry video)

说明：  matlab 捷联惯导算法matlab 捷联惯导算法matlab 捷联惯导算法matlab 捷联惯导算法(SINS algorithm matlab matlab matlab algorithm of SINS SINS SINS algorithm matlab algorithm)

对采集来的时间信号实现eemd分解，求得若干个本征模函数分量。(Collected on time signal eemd decomposition, obtained a number of intrinsic mode function components )