writesegyfile

implementation of windows for filters using matlab code with examples

本程序实现了各种不同形式的最小二乘算法的功能，程序运行效率很高。(The program functions to achieve the least-squares algorithm, run with high efficiency.)

说明：  能够实现在导出CST方向图的情况下在MATLAB里面作阵列综合(Can achieve in the export of CST direction map in the case of MATLAB for array synthesis)

Matlab的一些语句功能，和与之相对应的解释(Matlab' s statement function, and in connection with the corresponding explanations)

设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。(Design a CQMFB, low pass filter H_0 (z) the half-band filter. The length of the half-band filter 47, passband cutoff frequency ω_p = 0.42π, try to give H_0 (z), H_1 (z), G_0 (z), G_1 (z) of the amplitude-frequency response, the unit sample response and Paint. Try to generate a signal that consists of two sinusoidal composition plus white noise, a low frequency, a high frequency in the signal to noise ratio, frequency and sine and white noise of its own given. Trial designed filter group that signal decomposition and reconstruction. Results were rebuilt, and the results continue to be analyzed.)

同步电机电流预测控制，建立电机模型，通过编写函数实现电流的预测控制(predictive current control of PMSM)

implimentation of JPEG in matlab

1.median_filter (功能:使用中值濾波器去除雜訊) 2.mean_filter (功能:使用平均濾波器去除雜訊) 3.fl_stein (功能:使用誤差擴散法,將影像量化和混色) 4.Central_limit (功能:畫圖並證明中央極限定理) (1.median_filter (function: use median filter to remove noise) 2.mean_filter (function: using the average filter to remove noise) 3.fl_stein (function: using the error diffusion method, the image quantification and blending) 4. Central_limit (function: drawing and prove the central limit theorem))

无约束优化,最速下降法和共轭梯度法极小化函数(Unconstrained optimization, the steepest descent method and the conjugate gradient minimization function)

The camera calibration toolbox for Matlab (version 3.0) utilizes a new bias correction procedure for circular control points and a nonrecursive method for reversing the distortion model