最小化潮流法(IEEE14节点)

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.

里面放着关于ofdm的matlab的仿真码源，运行无误(Placed inside the matlab ofdm simulation on the source code, run the correct)

设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。(Design a CQMFB, low pass filter H_0 (z) the half-band filter. The length of the half-band filter 47, passband cutoff frequency ω_p = 0.42π, try to give H_0 (z), H_1 (z), G_0 (z), G_1 (z) of the amplitude-frequency response, the unit sample response and Paint. Try to generate a signal that consists of two sinusoidal composition plus white noise, a low frequency, a high frequency in the signal to noise ratio, frequency and sine and white noise of its own given. Trial designed filter group that signal decomposition and reconstruction. Results were rebuilt, and the results continue to be analyzed.)

基于互谱的盲信道辨识与均衡.单输入两输出情况(两接收天线）.支持M-PAM、QAM两种调制方式 (Cross-Spectrum Based Blind Channel Identification and Equalization: Methodology and MATLAB Code)

说明：  模拟n束光束的干涉图像。可以是任意多束。偏振方向可以自己选取(Simulation of n-beam-beam interference image. Multi-beam can be arbitrary. Able to select the polarization direction)

数学建模案例MATLAB实用程序百例，其中包括了matlab的入门教学，与一些经典的例子（包括源代码）。(Mathematical modeling case MATLAB utility 100 cases, including teaching matlab entry, with some classic examples (including source code).)

大津法确定图像二值化阈值,为MATLAB语言编写的M文件, 可直接使用(Otsu method to determine the threshold image binarization)

This function computes autocorrelation with a biased scaling.

elshebri source code11

simple implementation of common used data structure