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数字波束形成算法库 包括6种数字波束形成算法的matlab源程序(digital beamforming algorithms library, including six species of digital beamforming algorithms Matlab source)

极化SAR定标算法，采用最新的Withworth算法(Polarimetric SAR calibration algorithm)

说明：  基于密度的聚类算法 它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类(Density based clustering algorithm It defines the cluster as the largest set of density connected points, and can divide the region with enough high density into clusters, and can find clusters of arbitrary shape in the spatial database of noise)

说明：  在MATLAB下用gridfitdir实现三维图像的边缘强化，还有具体实现的实例(gridfitdir implemente surface fitting)

用窗函数法设计线性相位FIR低通滤波器。要求通带截止频率ωc=π/4，单位脉冲响应h(n)的长度N=23。绘出h(n)及其幅频响应特性曲线(Window function with linear phase FIR design a low pass filter. Required pass-band cutoff frequency ωc = π/4, unit impulse response h (n) of length N = 23. Plot h (n) and frequency response curves)

本程序是用Matlab编写的用KNN算法解决文本分类问题的程序。(The program is written in Matlab using KNN algorithm to solve the text classification procedures.)

PID算法，通过PID控制温度，实现PID自整定(PID algorithm, temperature, PID self-tuning PID control)

说明：  空域相关滤波是基于小波系数尺度之间相关性原理。 %比较适用于高信噪比信号(Spatial correlation filtering is based on the correlation principle between wavelet coefficient scales. % is more suitable for high SNR signals)

说明：  《matlab智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的matlab实现。本书共给出30个案例，每个案例都是一个使用智能算法解决问题的具体实例，所有案例均由理论讲解、案例背景、matlab程序实现和扩展阅读四个部分组成，并配有完整的原创程序，使读者在掌握算法的同时更能快速提高使用算法求解实际问题的能力。本书可作为本科毕业设计、研究生项目设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(All the cases in the book are carefully designed for the immediate needs of users of major matlab technology forums in China, and the contents and solutions of many cases are rarely introduced in the published matlab books in China.)

考虑到房屋内多种噪声，混响的影响，求出房屋的冲激相应(Taking into account a variety of house noise, reverberation effects, find the appropriate housing impulse)