matlab-linear-system-analysis

说明：  虫口模型的短小程序，有用的下，没用的别下，看看最好(Insect population model of the short program, useful, the useless do next, take a look at the best)

基于saber仿真软件,是对反激变换器仿真设计的。(Flyback converter design saber-based simulation software)

通信原理实验软件仿真实验，包含： 单极性归零码(RZ)的波形及其功率谱。 单极性不归零码(NRZ)的波形及其功率谱。 一个完整的数字基带系统的仿真。 一份完整的报告和分析。 (Communications software simulation experiment, including: unipolar return-to-zero (RZ) waveform and its power spectrum. Unipolar non-return-to-zero (NRZ) waveform and its power spectrum. A complete digital baseband system simulation. A full report and analysis.)

病态方程组求解的matlab程序，涵盖LU分解、Jacobi迭代、GS迭代、SOR迭代四种方法，通过输入参数M来选去对应的算法。(Sick Equations matlab program, covering LU decomposition, Jacobi iteration, GS iteration, SOR iterative four methods, through M to choose input parameters to the corresponding algorithm.)

MATLAB_Engine andC hybrid programmingmatlab引擎和c++混合编程的实例(MATLAB_Engine andC hybrid programming source code)

SegyMAT is a set of m-files that aims to ease importing and exporting SEG-Y files from Matlab. SegyMAT aims to: completely support SEG-Y revision 1 be easy to use in other projects be compileable using the Matlab Compiler be a Swiss Army knife dealing with the SEG-Y format in Matlab. SegyMAT is not lightning fast. SegyMAT makes heavy use of ’structures’. Unfortunately structures are not very effective in terms of speed in Matlab. (Or they have not been implemented very effectively in SegyMAT). However structures make the implementation and maintainance easier, and the code (hopefully) easy to read. That said, some effort has been made to optimize SegyMAT for speed. The latest version of SegyMAT is always available from Sourceforge : http://segymat.sourceforge.net/.

matlab codes for ofdm and radars

GMSK调制解调例程，采用了相位滤波的算法，供参考。(GMSK modulation and demodulation routines, using phase filtering algorithm, for reference.)

说明：  统计学的计算的matlab实现，大家可以好好学习学习了(Matlab achieve statistical calculations, we can learn from studying the)

由OUADDEMO、ZERODEMO和FPLOTDEMO等函数调用的一个函数 humps(x)是一个在x=0.3和x=0.9附近有尖锐极大值的函数 [X,Y]=HUMPS(x)在无输入时，HUMPS将使用x=0:0.5:1返回X(By the OUADDEMO, ZERODEMO and FPLOTDEMO other function calls a function humps (x) is an x ​ ​ = 0.3 and x = 0.9 the maximum value near the sharp function [X, Y] = HUMPS (x) in the absence of input , HUMPS uses X return x = 0:0.5:1)