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Maple 中文实践教程（基础篇）(maple course of study)

说明：  本算法可以适用与智能天线的波束形成算法，(this algorithm can be imply in beamforming technology of the smart antenna)

说明：  通过通信系统频率合成原理，生成伪随机的m序列(Principles of communication systems through the frequency synthesizer to generate pseudo-random m-sequence)

在MATLAB中如何实现聚类分析原程序代码(In MATLAB, how to cluster analysis of the original program code)

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)

一个关于matlab的基础知识的介绍，希望能对初学者有帮助！(A basic knowledge of matlab introduction, hoping to be helpful for beginners!)

说明：  由于飞机设计是一个需要多次反复迭代的重复过程，需要进行大量的计算，因此我自己编写了一些MATLAB程序(As the aircraft design is a need to repeat many times iterative process, requiring a large number of calculations, so I wrote some MATLAB program)

This is about the speaker recognition system, this system is about automatically recognizes the speaker speech. and this is the present active research filed in speech processing

It is much easier to spot patterns in your data when you can associate an image with each datapoint. thumbnailScatter.m overlays an image thumbnail over each datapoint to help with visualization. For example, if you perform a principal components analysis and would like to plot PC1 vs PC2, use thumbnailScatter.m to see what properties each PC controls. Run demo_scatterThumbnail.m to see how it works. Test data are provided for the demo.

《过程控制工程及仿真基于MATLABSimulink》的ppt，非常好的资料(" Process control engineering and simulation-based MATLABSimulink" the ppt, very good information)