VBdiaoyongMATLAB

本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别 中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其 它们在目标识别中的应用技术。(This paper is Gab. : Wavelet neural network algorithm and its gray-scale image recognition applications. Research involving neural network theory, wavelet analysis theory and wavelet neural network theory and their recognition in the target application technology.)

说明：  自动生成三维的多孔介质，对多孔介质研究的学者有用(Automatic generation of three-dimensional porous media, porous media studies scholars Useful)

search in list box in exe form

由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)

利用GNSS 进行高精度导航定位的前提是正确固定载波相位观测值的整周模糊度。由Galileo 系统的4 个载波观测值可以 形成诸多有良好特性的组合观测值,利用这些组合观测值,结合MCAR 方法,可以有效地确定整周模糊度。(The use of high-precision GNSS navigation and positioning the premise is correct carrier phase observations fixed integer ambiguity. May consist of four carriers observations Galileo system There are many good characteristics to form a combination of observations using a combination of these observations, combined with MCAR method can effectively determine the integer ambiguity.)

C++ demo using MatLab engiene

fdtd program，using the matlab program ，very good

matlab小波变换源代码，供广大研究者学习(matlab wavelet transform source code, for the majority of researchers to learn)

介绍了如何在matlab中调用C还是进行快速的运算，包括接口格式，实例等。(Introduce how to call matlab in C or rapid computing, including the interface format, examples of such.)

在matlab中实现哈夫曼压缩和解压缩。(Huffman compression and decompression in matlab.)