ZF-BD

出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。 (Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil is called the generalized eigenvalue problem. The most popular algorithm for this task is the QZ algorithm, which is an implicit version of the QR algorithm to solve the associated eigenvalue problem B − 1Ax = λx without forming explicitly the matrix B − 1A (which could be impossible or ill-conditioned if B is singular or near-singular) )

数字信号处理中的频谱泄露的程序，有助于帮助理解信号滤波处理的内涵。(Digital signal processing procedures spectral leakage, signal filtering helps to help understand the meaning.)

matlab下面一个很经典的例子，适合刚入门的人 学习(dddddddddddddddd)

机电模式初值的计算方法(Electrical model of the calculation of initial value)

污染物扩散的数值模拟，单扩散，无源，对热传递很有帮助(Pollutant dispersion simulation, single diffusion, passive, very useful for heat transfer)

Compute various Allan deviations for a constant-rate time series

对特定图像进行颜色和亮度上的处理，并采用局部滤波方法改善全图滤波使得图像分辨率变低的问题，使用非交互式方法，程序可自行完成调整的整个过程。(Specific image processing on the color and brightness, and the use of local filtering method to improve the whole map filter makes the problem of low-resolution images, the use of non-interactive method, the program can complete the whole process of self-adjustment.)

This file include the normalized LMS algorithm and subband LMS algorithm. all of them are in m.file This file can be used to echo noise cancellation, and active noise control

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)

给出了x(n)=A*a^n*cos(w*n+theta),A，a，w，theta均为实数，程序中给出了如何不同过matlab的自带工具箱求解其DTFT的过程(Given x (n) = A* a ^ n* cos (w* n+ theta), A, a, w, theta, are real numbers, the procedure given how different matlab comes toolbox for solving itsthe process of DTFT)