awb_DTM_GWA_PRA

为了解决! 以太网接入系统中大规模并行编码器的设计问题! 提出了矩阵法 代入法流水线法等三种设计方法以此为基础!给出了!以太网接入系统中 编码器的实现方 案.(In order to solve! " # Ethernet access system, $ $ massively parallel encoder design! Proposed a matrix method" substitution method " , three line method as a basis for design#! Shows!" Ethernet access system# $ $ encoder implementations)

对非同步采样数据进行二次插值同步化处理，进而进行谐波分析。(The asynchronized sample data can be synchronized by the qudric interpolation.)

本程序用于根据报名信息对 试卷 根据题目进行加密 并生成明密,密明对照表.明密表 用于贴密号 (This procedure is used on the papers under the registration information is encrypted and generated according to specified topics close, close out table. Plain and form is used to paste in secret)

计算机控制系统之PID控制器P控制作用分析代码，基于MATLAB。(The computer control system of the PID controller P control function analysis code, based on MATLAB.)

基于物理光学透镜成像原理，利用MATLAB语言编写了仿真程序，制作了GUI界面。(Based on the imaging principle of physical optical lens, the simulation program is written in MATLAB language, and the GUI interface is made.)

用SBL算法和卡尔曼滤波压缩感知算法实现雷达的一维距离像成像，并对两者进行了成像性能分析对吧(SBL algorithm and Kalman filter using compressed sensing algorithm for one-dimensional range radar imaging, and imaging performance analysis carried out both right)

一个MATLAB写的制冷仿真程序，值得参考！(MATLAB write a cooling simulation program, it is also useful!)

matlab编写的Hausdorff距离程序(Hausdorff distance program written in matlab)

C 程序 球面方位角算法： azimuth.cpp CRC校验快速算法： CRC_Table.cpp 解扰码算法： scrambler.cpp Matlab 程序 信号带宽测量： BandWith.m 带通信号下变频： fqmv.m QPSK 解调 demodQpsk.m pwelch求功率谱的算法 psdwh.m 均值滤波算法 cvmn.m 信号正交分解： Cnv2Bas.m(C procedures spherical azimuth algorithm: azimuth.cppCRC Fast Algorithm checksum: CRC_Table.cpp Descrambling code algorithm: scrambler.cpp Matlab signal bandwidth measurement procedures: BandWith.m bandpass signal down-conversion: fqmv.mQPSK demodulator for demodQpsk.mpwelch power spectrum algorithm psdwh.m mean signal filtering algorithm cvmn.m orthogonal decomposition: Cnv2Bas.m)

基于BP神经网络的数据分类 随机提取500个样本为训练样本，268个样本为预测样本(BP neural network-based classification of data extracted 500 random samples for training samples, 268 samples for prediction samples)