matlabzhifantu

改程序可以实现任意阶的伪随机序列的产生，并且以文本格式保存起来，方便查看和调用(Reform program can generate pseudo-random sequence of arbitrary order, and saved in text format for easy viewing and calling)

OMP算法主程序 OMP的MATLAB实现 OMP的MATLAB实现(OMP algorithm master program MATLAB implementation of OMP MATLAB implementation of OMP)

说明：  利用MATLAB进行数据拟合，常见的数据拟合方法。包括：一元函数插值、样条插值、多项式插值或拟合 、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting, curve fitting, Lagrange interpolation, etc.)

PCM编码和解码以及BPSK和QPSK，及最后的结果分析(PCM ENCODE)

用ICA方法进行BSS分离的源程序，有Matlab运行结果和详细实验过程，非常实用(ICA method with source separation BSS, Matlab operating results and detailed experimental procedure, very practical)

四种高斯滤波算法的比较：EKF、UKF、QKF和CKF(Comparison of four Gaussian filtering algorithm: EKF, UKF, QKF and CKF)

这个函数提供灰度拉伸功能，输入图像应当是灰度图像，但如果提供的不是灰度图像的话，函数会自动将图像转化为灰度形式。x1，x2，y1，y2应当使用双精度类型存储，图像矩阵可以使用任何MATLAB支持的类型存储。(This function provides a gray scale stretching function of the input image should be grayscale image, but if not provided, then gray image, the function will automatically be converted to grayscale image form. x1, x2, y1, y2 should use double precision storage, image matrix can store any type of MATLAB support.)

文章运用分级抽取和多相滤波的方法改进传统CIC滤波器的结构,降低了系统工作频率,运用幅度改进函数(ACF)和外加级联余弦预滤波器的技术改进了滤波器频率响应,提出了一种高效的算法结构,改善了通带损耗,增大了阻带衰减,对CIC滤波器的实际应用和深入研究有着现实意义。 (Article the use of hierarchical multi-phase extraction and filtering methods to improve the structure of the traditional CIC filter, reducing the system operating frequency, the use of margin to improve the function (ACF) and the cosine cascade plus pre-filter technology to improve the filter frequency response, the an efficient algorithm to improve the pass-band loss, increases the stopband attenuation of the CIC filter in practical applications and in-depth study has practical significance.)

说明：  包括一些常用算法及MATLAB实现，如可视化仿真。 (Visual simulation code)

离散傅里叶变换，实现信号的频谱分析，更好地研究信号的频率分布！(Discrete Fourier transform, to achieve the signal spectrum analysis, to better study the frequency distribution of the signal! )