LFMSignalAmbFuncMatlabCode

小波谱分析mallat算法经典程序,可直接运行(Mallat algorithm for spectral analysis of small classical procedures, can be directly run)

浮动顺序搜索算法搜索特征空间生成候选子集(Sequential floating search algorithm to search a subset of the feature space generated candidate)

用matlab中的小波分析方法实现数据处理中的小波动，可用于例程学习(Using matlab in the wavelet analysis method to achieve data processing of small fluctuations, can be used for routine learning)

Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[ -6.2 -8.3 -5.0 -1.1 1 1.3 2.2 8.5 27.4], in x= [-4 -3 -2 -1 0 1 2 3 4] to interpolate in the xi = − 4 + 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!(Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[-6.2-8.3-5.0-1.1 1 1.3 2.2 8.5 27.4], in x= [-4-3-2-1 0 1 2 3 4] to interpolate in the xi = − 4+ 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!)

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.(This paper deals with the problem of speech enhancement when only a corrupted speech signa l is available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) model and represented in the s tate-space domain.)

QAM_MODEM matlab代码(QAM_MODEM Matlab code)

目前有许多独立主元分析的方法但现在较为热手的独立主元分析方法是快速独立主元分析，，此程序就是快速独立主元的matlab编程，(Fast Independent Component Analysis)

说明：  简单的BP神经网络分类，包括数据，预处理的程序如果需要可以联系我(Simple BP neural network classification)

为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 (In order to achieve the joint estimation of DOA and delay, proposed a wireless communications joint angle and high resolution delay estimation method, the method does not require parameters to search using the space-time matrix eigenvectors and eigenvalues​ ​ , respectively, and the estimated DOA delay, by the correspondence between eigenvalues ​ ​ and eigenvectors, the estimated parameters can be automatically paired DOA and delay of each path as long as the signal is not close to this same method can be applied, with the JADE-MUSIC, JADE-ESPRIT and SI-JADE algorithm, the algorithm has better robustness and smaller estimation error. The simulation results show the effectiveness of the algorithm.)

克里金插值的matlab代码及其说明文档：强人学习克里金插值方法的matlab代码，其中含有使用文档，原理说明，以及代码注释！(The kriging interpolation matlab code and its description document: strongman learning kriging interpolation method matlab code, which contains the use of the document, Rationale, and code comments!)