Multisensorrefusion

Basic Noiselet Matlab code for building orthogonal noiselet bases

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

里面是几个小波构造的程序，Daubechies小波基的构造，采用多孔trous算法(undecimated wavelet transform)实现小波变换 。(inside several wavelet construction procedures Daubechies wavelet construction, using porous trous algorithm (undecimated wavelet transform) achieve wavelet transform.)

说明：  实现基频提取的RAPT算法（一种鲁棒性的基频提取算法）。输入文件为wav波形文件。(A Robust Algorithm for Pitch Tracking (RAPT))

自由电子在沿x轴的震荡电路中的运动问题，希望对大家有用(The free electrons in the movement along the x axis of the oscillation circuit in)

提出了一种可抗 几何攻击的二值文本图像水印算法. 该算法基于DCT,它将二值图像的DCT、图像的视觉特征向 量和加密技术有机结合起来,在提取水印时不需要原始图像,是一种实用的盲水印算法(We propose a geometric attacks against Binary Text Watermarking Algorithm. The algorithm is based on DCT, it binary image DCT, the image of the visual feature vector and encryption technology combine in the watermark without the original image is a practical blind watermarking algorithm)

knn 方法为k均值聚类用于数据点的分类(KNN method for k-means clustering for the classification of data points)

这是matlab的一些程序希望对大家有用，谢谢了(This is some of the procedures of the matlab hope that useful, thank you)

MATLAB实现主成分分析，主成分分析可以用于预测，评估等，应用范围广泛(MATLAB realization of principal component analysis)

实现dft基本功能。对频率分辨率有特殊说明，希望对您有帮助。(The realization of the basic functions of dft. Frequency resolution of special note, I hope for your help.)