filter_optics

说明：  利用粒子滤波算法的对于非线性非高斯信号处理的优越性能，将之用于模态信号、振动信号去噪处理。(The particle filter algorithm for nonlinear non-Gaussian signal processing, superior performance, it is used for mode signal, vibration signal denoising.)

fuzzy logc program using matlab code

对于无源定位系统，采用扩展卡尔曼滤波的方法对定位精度进行了分析。(For the passive positioning system, using the extended Calman filter method for positioning precision was analyzed.)

MATLAB实现的线性方程组超松弛迭代算法源程序。(MATLAB realization of linear equations over-relaxation iterative algorithm source code.)

:详细介绍了基于LabV IEW和Matlab的虚拟信号分析仪的设计过程。该信号分析仪可以完全替代传统意义上的信号分析仪,实现其全部功能,并且具有造价低(只在通用计算机上增加一块数据采集卡) ,使用方便,可实现资源共享,更新换代容易等特点。(: Details LabV IEW and Matlab-based virtual signal analyzer of the design process. The signal analyzer can completely replace the traditional sense of the signal analyzer to achieve its full functionality, and has low cost (only in a general increase in computer data acquisition card), easy to use, can realize the sharing of resources, such as upgrading easy characteristics.)

此程序为测试窗函数宽度对时－频分辨率的影响，即测不准原理，对时间分辨率和频率分辨率只能取一个折中，一个提高了，另一个就必然要降低，反之亦然。(This procedure for the test window function width on- frequency resolution, that is, the uncertainty principle, the time resolution and frequency resolution can only take a compromise, an elevated, and the other is bound to reduce, and vice versa .)

硕士论文。主要包括：1、均衡器的设计原理 2、码间串扰与均衡原理 3、自适应均衡算法，主要介绍迫零算法、LMS算法、RLS算法 4、LMS自适应均衡器的Verilog设计 5、以上算法的matlab仿真(Master thesis. The main contents are as follows: 1, the design principle of the equalizer 2, intersymbol interference (ISI) and equilibrium principle 3, adaptive equalization algorithm, mainly introduces the zero forcing algorithm, LMS algorithm, RLS algorithm, LMS adaptive equalizer Verilog design 5, the above algorithm matlab simulation)

流水灯简单的方案，用最少的代码实现最多的变化(Water lamp simple program, with a minimum of code changes to achieve the most)

这是放大10倍后的用数值微分法生成直线的程序(This is the enlarged 10 times the numerical differential method to create line procedures)

this is to make a triangle wave in matlab