Chap4-Forces

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.)

this matlab code describes FFT calculation

RGB Imagen to HSV, it s a matlab file (.m) easier to understand

This file is 802.11a+mimo system based on matlab simulink. Which contains nine mdl files, is what I do MIMO-OFDM find papers are available are welcome to download. This will work in Matlab 2006b.

该文件详细介绍了蚁群算法，不仅有代码，还有数据，并且还附带蚁群算法的介绍PPT，很有用的，是学习的好算法。(Ant colony algorithm was introduced in detail the file, not only the code, and data, and also with ant colony algorithm is introduced PPT, very useful, is good to learn algorithm.)

此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ (The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP algorithms, recovery effect is good, want to learn simulation using compression perceptual knowledge can download!)

Numerical RecipeS is a series of text and reference books on "the art of scientific computing" that is famous for its engaging text and lucid mathematical and algorithmic explanations

滤波求和方式实现宽带波束形成，用MATLAB实现动态聚类或迭代自组织数据分析，匹配追踪和正交匹配追踪。( Filtering summation way broadband beamforming, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Matching Pursuit and orthogonal matching pursuit.)

自己编写求取细通道内气泡长度信息，先转化为灰度图，再求取长度(I have written to strike a fine bubbles channel length information, first converted to grayscale, and then calculate the length of the)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)