LiScNLS

在Matlab环境下的kalman滤波程序，有助于理解kalman的原理及其应有(1234566KALMAN)

linedatas of IEEE standard systems for Optimal power flow

data escurity source code in matlab by 7ala at 2011 - 1432

模拟nakagami-m信道，m值可改。(Simulation of Nakagami-m channel, m value can be changed.)

Spectrum sensing SCS method

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.

tcsc location determination

单频双频信号的检测与估计，使用LMS算法(Detection and estimation of single frequency dual frequency signals using LMS algorithm)

用matlab写的DC-CDMA的仿真源代码(Written by DC-CDMA matlab simulation source code)

Aproximaciones de Bessel y Simpson