zuotu

说明：  自适应均衡器的MATLAB实现 介数为64 结果正确 可以直接使用(MATLAB adaptive equalizer to achieve the results referred to 64 the number of correct use can)

alphabet recognization, a simplified version only to detect few numerical pronunciations

说明：  绘制星座图的程序，主要要是QAM的仿真，希望大家看看。基于小波的星座图仿真(Constellation diagram drawing program, the main if the QAM simulation, let us look. Wavelet-based Constellation Simulation)

摘要：应用Matlab/Simulink对实验室研制的六自由度运动平台位置反解建模、仿真、分析，通过对上平台进行垂 荡、纵荡、横荡、纵摇、横摇和艏摇六个自由度方向上的运动仿真分析，得到了六个液压缸的长度变化规律，更直观的 了解了平台在不同运动情况下的运动规律 (Abstract: The six degrees of freedom motion platform location, Matlab/Simulink laboratory developed anti-solution modeling, simulation, analysis, on a platform heave, vertical swing, sway, pitch, roll and yawing sixdegrees of freedom on the direction of motion simulation, six hydraulic cylinders of length variation, a more intuitive understanding of the law of motion of the platform in the case of different sports)

《MATLAB simulation and application》一书的电子源代码(MATLAB simulation and application of electronic source code)

Pemrograman Integer dari Indonesia

获取计算机中的时间信息，创建界面仿真时钟，动态显示时间。(Get the time information in the computer, create interface simulation clock, dynamic display time.)

信号叠加单频噪声，并利用SMI算法在16个天线阵元数条件下计算阵列方向图(Superposition of single frequency noise signal, and the SMI algorithm using 16 antenna elements in a number of conditions calculated array pattern)

This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion (This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion)

说明：  核主成分分析方法是将主成分分析方法与核方法的有机融合，核心思想是通过引入核方法将输入空间的数据映射到特征空间，并在特征空间进行主成分分析，实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)