GP_Algorithm2.0

将图像细分成16个子块，并对两两子块做相位相关(image divide into 16 sub-images, phase correlation)

一个适用于Matlab的随机抽样一致算法(RANdom SAmple Consensus,RANSAC)工具箱(RANSAC(RANdom SAmple Consensus)Toolbox for Matlab)

matlab单枝节阻抗匹配单枝节阻抗匹配单枝节阻抗匹配(One minor impedance matching matlab)

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

基于cost207模型的AM调制的仿真，仅仿真乡村模式，用于课本《移动通信》第三章10题的入门回答(AM modulation cost207 model-based simulation, emulation mode only country, introductory textbook for " Mobile Communications" Chapter 10 questions answered)

平面杆单元的有限元计算matlab程序，配套书籍是《ansys结构分析与MATLAB编程(徐荣桥)》(The plane lever unit finite element calculation matlab program, supporting books is《Ansys structure analysis and MATLAB programming (Xu Rong Bridge)》)

本程序是用matlable求任意一个二维矩阵的边界矩阵，与C和C++不同，这里不只用循环，比C和C++要方便快的多。(This procedure is arbitrary matlable seeking a two-dimensional matrix of the boundary matrix, with C and C is different here, not only by cyclic than C and C should be faster and more convenient.)

bhattacharya cofficient is used to in canny edge detector

基于高阶循环累积量的SQAM信号调制识别算法(Order cyclic cumulant based modulation recognition algorithm SQAM)

kasmai new method generation