matlab

Serial Application of GPS

说明：  《可编程控制器实验教程》配书程序4XXXXXXXXXXXXXXXXXXXXXXXXXX(&quot Programmable Controller experimental course&quot assigned program 4XXXXXXXXXXXXXXXXXXXXXXXXXX)

该函数使用matlab对运动情况下的心电信号做快速傅里叶变换，并加汉宁窗函数进行滤波(The function uses Matlab ECG movement fast Fourier transform, Hanning window function filtering)

说明：  一个简单的代码，用于说明OFDM发送器和接收器的操作，包括RF上变频和下变频；(A simple code to illustrate the operation of an OFDM transmitter and Receiver including RF upconversion and down-conversion ;)

给出BCH编码和译码的原理 以及解决方案，特别是仿真的一种解决方案，值得参考。(BCH coding and decoding given the principle, as well as solutions, in particular the simulation of a solution, it is also useful.)

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)

this source code is wwdc in matlab

MATLAB代码 有限元分析 8节点 4节点 3节点等参元程序 (MATLAB codes for finite element analysis)

说明：  该程序包括了ofdm和qam两种调制的matlab仿真程序，并对两种调制方式进行了对比分析并仿真。(the program includes two QAM OFDM modulation and the Matlab simulation program, and two modulation methods for comparative analysis and simulation.)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)