GBTF_Matlab_Code

内梅罗插值函数，用于土壤污染程度的评价，可用性极强防止出现错误(The Nemerow interpolation function)

这是一个用在Matlab中对二维图像进行特征点提取的代码(This function returns IMAGE s SIFT keypoints)

该程序产生MSK和GMSK复基带信号，并在同一图中作出二者的功率谱，对处理实际信号时非常有帮助(The complex base signals of MSK and GMSK are produced, respectively. The power spectral density of the two signals are darwn in the same figure, which really helps for pratical signal processing)

fastica的matlab工具箱代码。可以直接调用。(fastica matlab toolbox code. Can be called directly.)

谱系聚类发 给定聚类点数可得到聚类中心 很好很强大(Hierarchical clustering distributed clustering fixed points can be obtained very powerful cluster centers)

MEDLL算法多径参数估计，2012b上可以运行，添加了高斯白噪声； 应用于多径检测和抗多径； 函数的输入是相关峰采样；(MEDLL Multipath parameter estimation algorithm can be run on the 2012b, add Gaussian white noise used in multipath detection and anti-multipath input function is the correlation peak sampling )

说明：  OFDM是将高速串行数据分成成百上千路并行数据,并分别对不同的载频进行调制,这种并行传输体制大大扩展了符号的脉冲宽度,提高了抗多径衰落的性能。同时,在传统的频分复用方法中,各子载波之间的频谱互不重叠,频谱利用率较低。而采用OFDM技术,一个OFDM符号之内包括多个经过调制的子载波的合成信号,每个子载波在频谱上相互重叠,这些频谱在整个符号周期内满足正交性,因而在接受端可以保证无失真恢复,从而大大提高频谱利用率。(OFDM divides high-speed serial data into hundreds of parallel data channels and modulates different carrier frequency separately. This parallel transmission system greatly expands the pulse width of symbols and improves the performance of anti-multipath fading. At the same time, in the traditional method of Frequency Division multiplexing, the spectrum between the sub-carriers does not overlap each other, the spectrum utilization ratio is low. In the case of OFDM, an OFDM symbol consists of multiple modulated sub-carriers, each of which overlaps in the spectrum, which is orthogonal throughout the symbol period, thus, no distortion recovery can be ensured at the receiving end, thus greatly improving the spectrum utilization ratio.)

很好的关于matlab无线定位的程序，对于初学者还是很有用的(Very good on matlab wireless positioning procedures, very useful for beginners)

自己编的5种调制信号，借鉴了主成分分析算法（PCA），用于信号特征提取、信号消噪。( Own five modulation signal, It draws on principal component analysis algorithm (PCA), For feature extraction, signal de-noising.)

说明：  一种基于稀疏信号恢复的DOA估计方法，CS采用L1SVD方法进行信号恢复(A DOA estimation method based on sparse signal recovery is proposed. CS uses L1SVD method for signal recovery.)