天线波束方向图

有关MATLAB的图像绘制功能的ppt,很方便，很实用的(The MATLAB' s image rendering capabilities of the ppt, very convenient and very practical)

此算法是针对语音合成，采用时域的基音同步叠加算法，对波形进行韵律特征提取，修改，以及合成（包括短时能量分析，短时过零率分析等等算法）！算法是用matlab编写的(Speech synthesis, using time-domain synchronous Pitch stack algorithm, rhythm right waveform feature extraction, modification, and synthesis (including short-term energy analysis, Short-term zero rate algorithm analysis, and so on)! Algorithm is used to prepare the Matlab)

2D双向PCA(2D2PCA),二维主成分分析(2DPCA)的实质是对图像矩阵按行进行图像压缩抽取特征,消除了图像列的相关性.(2D bidirectional PCA (2D2PCA), two-dimensional principal component analysis (2DPCA) real image matrix row the Image Compression extraction characteristics to eliminate the correlation of the image column.)

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

Clustering technique

MATLAB模拟人走路姿势，各个节点的选取和函数的调用是我们学习的很好例子(MATLAB simulation of human walking, each node of the selection and function calls is a good example of learning)

simulink小问题集锦 网上收集。。。。。(simulink small problem sets online collection)

这是快速学习matlab的ppt，对学习matlab的新手很有帮助(This is the matlab rapid learning ppt, on learning of the novice matlab helpful)

garch model for econometric

基于matlab的gps 模拟仿真工具箱，(Gps simulation based on the matlab toolbox)