ECA_B

These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.

说明：  这些资料对于初学MATLAB的人来说是不错的资料，希望对大家有用(The information for the beginner who MATLAB is good information, useful for all of us hope)

matlab code log MLE fitting

LDPC 基于似然函数的译码算法函数，采用MATLAB编写，可以直接调用(LDPC decoding algorithm based on similar function the likelihood function, using MATLAB to prepare, you can directly call)

PV WITH THREE PHASE INVERTER

sp3精密星历插值，采用滑动牛顿多项式，可以达到cm级精度，插值结果为速度和位置(Star calendar interpolation)

阻容降压原理 阻容降压原理 阻容降压原理(Principles of RC Buck)

非线形混沌系统的庞加莱图的画法的代码以及其MATLAB m文件代码(Non-linear chaotic system Poincare map of the painting of the code and its MATLAB m-file code)

nonlinear amplifier effect on QAM modulation

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.