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k-means clustering : Pattern Recognition

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

Beam Rotation of MIMO Radar

对信号进行短时傅立叶变换以及Wigner-Ville分布分析的matlab程序(The signal short-time Fourier transform and Wigner-Ville distribution analysis matlab program)

线性调频（LFM）脉冲压缩雷达仿真,线性调频脉冲压缩的Matlab程序，Word说明，运行结果(linear FM (LFM) radar pulse compression simulation, LFM Matlab pulse compression procedures, Word stated that operating results)

matlab时频分析配套源码第8章的程序，请大家共享(Matlab time-frequency analysis supporting FOSS chapter 8, please share)

速度分析，形成速度谱，加入了各向异性参数(Velocity analysis, the formation of the velocity spectrum, joined the anisotropy parameter)

说明：  利用C++编程实现相场模拟铝铜合金凝固过程(Simulation of phase field during solidification of Al - Cu alloy)

ISODATA聚类算法，内附详细注解，使用了Iris数据集。ISODATA是一种常用的聚类算法之一。(ISODATA clustering algorithm, containing detailed notes, using the Iris data set. ISODATA clustering algorithm is a common one.)

this file is a matlab program. File name is 2D fast fourier transform.