基于增广矩阵束L型二维DOA估计

用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation function [sys,x0,str,ts]=s_function(t,x,u,flag) switch flag, Initialization case 0, [sys,x0,str,ts]=mdlInitializeSizes Outputs case 3, sys=mdlOutputs(t,x,u) Unhandled flags case {2, 4, 9 } sys = [] Unexpected flags otherwise error([ Unhandled flag = ,num2str(flag)]) end mdlInitializeSizes function [sys,x0,str,ts]=mdlInitializeSizes sizes = simsizes sizes.NumContStates = 0 sizes.NumDiscStates = 0 sizes.NumOutputs = 3 sizes.NumInputs = 1 sizes.DirFeedthrough = 1 sizes.NumSampleTimes = 0 sys=simsizes(sizes) x0=[] str=[] ts=[] function sys=mdlOutputs(t,x,u) x11d=sin(pi*t/2) x21d=cos(pi*t) x31d=1 sys(1)=x11d sys(2)=x21d sys(3)=x31d )

LDPC码的C语言编译码，包含校验矩阵，备注等等(LDPC codes codec C language, including parity check matrix, notes, etc.)

cholesky算法（正定对称矩阵的LL 分解，完整程序）(cholesky)

最新的C++写的NtMapViewOfSection注入工具，经过长时间测试完全稳定可靠。值得大家使用。(The latest written in C++, NtMapViewOfSection injection tool, after a long test completely reliable. Worth using.)

这是一篇关于恒定束宽的综述文章，文中描述了行程恒定束宽的最新方法，希望对研究频不变信号的人有用(This is a constant beam width on the overview of the article, this paper describes the latest travel a constant beam width, and I hope the study of constant-frequency signals were useful for)

Turbo Equalize matlab simulation

说明：  快速傅里叶变换FFT通用matlab源程序,众所周知，matlab工具箱里的fft函数是内置的，我们无法看到其源代码，为了学习交流方便，特帖出本人以前用matlab语言写的fft通用matlab源程序，以供初学者学习参考之用！(FFT fast Fourier transform common Matlab source, as we all know, the Matlab toolbox fft function is built-in, we can not see the source code, in order to facilitate the exchange of learning and special TIE out I used to write using the Matlab language fft common source Matlab, for beginners to learn reference only !)

Good file to test for nothing.

Double_Polarity_IGBT_Bridges.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(Double_Polarity_IGBT_Bridges.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )