Andrew_NG_deeplearning

生成矩阵,类似于excel，方便数据的输入和输出，自动生成(this program can make out a y,it can help you to make a arry,you can load it,it is useful, thank you)

实现卷积码的BPSK调制、vitbi译码及软硬判决与未编码的BPSK误码率的对比(Convolutional codes to achieve BPSK modulation, vitbi hard and soft decision decoding and BPSK and uncoded BER comparison)

convolution code in matlam code language

A Fast Image Segmentation using Delaunay Triangulation

matlab code for beging cc motor...

超宽带（UWB）的多频带OFDM与定点transmitterreceiver物理层建模 UWB的分析 超宽带的BPSK分析 第五阶导数的BPSK超宽带 超宽带信道模型 超宽带链接分析 超宽带单环 超宽带单脉冲 超宽带多旋回(Ultra-wideband (UWB) multiband OFDM physical layer with fixed-point transmitterreceiver modeling analysis of UWB UWB BPSK Fifth Order Derivative analysis of BPSK UWB UWB UWB channel model for UWB link analysis of UWB single-loop single-pulse ultra-wideband polycyclic)

GPS for MatlabDetermination of the WGS-84 geoid height correction Determination of the WGS-84 geoid height correctionDetermination of the WGS-84 geoid height correction

对于InSAR 系统,当波长较长时,干涉图条纹频率较低,相位解缠容易,但反演的高程精度较低 而当波长较短时,干涉图条纹频率较高,相位解缠困难,但反演的高程精度较高. 为了充分利用多波段 InSAR 干涉相位之间的互补信息,设计了利用中国余数定理的多波段InSAR 相位解缠方法,采用由DEM 仿真的多波段干涉图进行了相位解缠实验,得到了理想的解缠结果,成功解决了因地形起伏较大或基线较长而引起的干涉相位欠采样处的相位解缠难题.(For the InSAR System熏when the wavelength is longer熏the frequency of fringes will be lower熏the phase unwrapping will be easier熏and the accuracy of derived heights will be lower. However熏when the wavelength is shorter熏the frequency of fringes will be higher熏the phase unwrapping will be more difficult熏and the accuracy of derived heights will be higher. In order to make the best use of compensatory information in multi鄄band InSAR phases熏the phase unwrapping algorithm with the Chinese Remainder Theorem for multi鄄band InSAR is designed. The multi鄄band interferograms simulated from DEM are applied to do phase unwrapping experiments. The satisfying phase unwrapping results are obtained. The difficulty in phase unwrapping of sub鄄 sampling interferometric phases due to great hypsography or longer baseline is removed.)

matlab program in artificial intelligent in power system optimization problem using GA

用遗传算法求解函数最优问题，注释详细，过程详细，值得参考和学习，稍微修改能用于解答其他问题！(Function using genetic algorithm optimization problem, detailed notes, the process in detail, it is worth reference and learning, a slight modification can be used to answer other questions!)