CBF_cog

平面钢架元的有限元分析编码，其中列出了需用到的函数的编码，可以直接调用(Flat steel element finite element analysis code, which sets out the need to rely on the encoding function can be called directly)

This is a matlab code and is a beneficial source code about filtering

It is important in detecting the edges of image.It is better than canny.

一种基于压缩感知技术的图像重建程序，可以提高图像重建质量和速度(Compressed sensing technology based on the image reconstruction process, can improve the quality and speed of image reconstruction)

分辨率增强函数,一个独立的Matlab函数，用以实现滑块控制的分辨率增强。(Resolution enhancement function, a separate Matlab function for the slider control to achieve the resolution enhancement.)

一个结合经典的弹簧阻尼系统与卡尔曼滤波的例程,含有word报告说明(Example for a classical Spring+Damp system combined with kalman filter. WORD report appended)

对波束形成中的非模糊扇面和模糊扇面作了仿真研究，并给出多波束形成的程序代码。 注：本人上传程序代码均为本人在长期工作中的原创程序。(Of beamforming fan of the non-fuzzy and fuzzy simulation of fan made, and gives the formation of multi-beam program code. Note: I upload all my code in the original long-term work program.)

Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing

说明：  利用Matlab实现数字信号处理fft变换的教程，讲解非常清楚(FFT with Matlab method)

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)