test_vectors

通信系统建模与仿真第12章基于MATLAB程序(System Modeling and Simulation of Chapter 12 program based on MATLAB)

文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性，用最大似然估计方法对转换后得到的稀疏 分量进行非线性压缩去噪，然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本 身的统计特性，因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢，与小波消噪法相比优势明显。(a speech enhancement algorithm based Compressed Sensing.)

根据信号不同的特点，自适应的构造小波基，实现与信号的最佳匹配。(According to the different characteristics of signal, the structure of the adaptive wavelet base, to achieve the best match with the signal. )

本论文中，一个混合载波频率偏移估计方案用于基于通用滤波多载波的系统。 此方案所述CFO估计器基于最小平方（LS）准则首先导出以获得粗略频率偏移估计使用大频率搜索步骤。 接着，通过其精确估计残留频率偏移自相关操作补偿。 该算法具有较大估计的特点范围以及更高的估计精度。(In this letter, a robust hybrid carrier frequency offset (CFO) estimation scheme based on training symbols is devised for universal-filtered multi-carrier (UFMC) based systems. In this scheme, the CFO estimator based on a least square (LS) criterion is firstly derived to acquire a coarse frequency offset estimation with the use of a large frequency searching step. And then, the residual frequency offset is accurately estimated through the auto-correlation operation of received signals which have been compensated. This algorithm has the features of larger estimation range as well as higher estimation precision.)

雷达线性调频信号的产生，及其通过滤波器加窗后的一些变换(Radar chirp signal generation and its windowing through the filter after transformation)

This is to calculate the PDF,CDF and histogram of the given data samples

MUSIC相关的一些文章和论文，研究两个信号源的相关性、基于四阶累积量、修正MUSIC算法的相关文章(MUSIC related to some articles and papers on two related sources, based on fourth-order cumulant, modified MUSIC algorithm related articles)

模糊聚类的marlab源码程序，大家可以看看，应该会有帮助的(Fuzzy Clustering marlab source programs, we can see, should be helpful)

实现kalman滤波的函数，精华之处在于使用结构体操作，注释详尽。(This function realizes the kalman filter.its advantage is the excellent use of structure and the detailed comments.)

模式识别与智能计算——matlab技术实现（第2版）源代码(Pattern Recognition and Intelligent Computing- matlab technology (2nd Edition) source code)