yashengsuchashengsuliudong

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

用逼近法计算变形的第二类整数阶贝赛尔函数值(Used approximation method to calculate the deformation of the second type of integer-order Bessel function values)

用MATLAB写的关于其中的数据保存到excel中的m文件程序。(Writing about the use of MATLAB data into one of the excel document in the process m.)

THINS TO REMEMBER BEFORE IPCORE

C UNİ X SYSTEM SOURCE CODE

说明：  广谱X射线衰减的非线性 广谱X射线衰减的非线性(X-ray attenuation of the nonlinear spectrum)

混响研究大牛Douglas A. Abraham的经典非锐利分布混响仿真，注释很详细。(Douglas A. Abraham, Daniel reverberation study classical Non-Rayleigh Reverberation , comment in detail.)

image filtering to reduce difrent type of noise

The DSI method is basically a modified SLM method. The additional aspect of the DSI method is to add M-bits dummy sequences to the original sequence in order to reduce the PAPR. Where, the dummy bits are inserted at the end of the data sequence (y). Next, after IFFT, we select the M-DSI sequence having the lowest PAPR.

总体最小二乘算法，esprit的改进版，总体最小二乘esprit算法 绝对可以运行(Total least squares algorithm, esprit improved version, total least squares algorithm can definitely run esprit)