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一个标准的粒子滤波器程序

于 2022-08-05 发布 文件大小:5.09 kB
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代码说明:

PLS部分最小二乘工具箱,抑制载波型差分相位调制,最小均方误差(MMSE)的算法,对HARQ系统的吞吐量分析,是本科毕设的题目,一种流形学习算法(很好用)。

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  • kuifui
    意信号卷积的运算,并且绘制图象,处理信号的时频分析,包含位置式PID算法、积分分离式PID。( Convolution operation is intended to signal and image rendering, When processing a signal frequency analysis, It contains positional PID algorithm, integral separate PID.)
    2016-05-30 16:30:23下载
    积分:1
  • fftf
    fourier transform for matlab
    2009-08-25 05:58:52下载
    积分:1
  • chepaizifufenge
    提出了一种改进的基于垂直投影特征值的 分割算法(An improved vertical projection based segmentation algorithm for eigenvalue)
    2011-05-09 16:26:34下载
    积分:1
  • Gaijinmusic
    改进MUSICA算法前后向空间平滑法及修正MUSIC算法是两种估计相关信号的方法,能有效的估计出相关信源的来波方向。(It can effectively estimate the relevant source. For the simulation, this paper shows it’s reasonable. It is in radar, communications, seismic, and other fields there is a very broad application prospects.)
    2011-06-05 17:32:35下载
    积分:1
  • Compressive-Sensing
    Compressive Sensing: 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing: Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)
    2013-05-22 09:55:00下载
    积分:1
  • notchfilter
    用于图像处理的陷波滤波器. m文件,有例子说明。(Notch filter notch filter. M file, there are examples.)
    2016-03-14 18:26:52下载
    积分:1
  • matlab_decode
    好东西,虽然不是很难,但是这样可以节省不少时间,可以把精力投入到难度较大的改进以及应用上了,而不用在大家都会的基本程序上花挺多时间(Good things, though not difficult, but it saves a lot of time can focus into the more difficult to improve as well as the application, and not everyone will be in the basic procedures for the time spent挺多)
    2008-03-19 14:34:23下载
    积分:1
  • duandianjiance
    基于支持向量机的语音信号端点检测,主要是去掉首位的噪声。(Voice signal endpoint detection based on support vector machines, mainly to get rid of the first noise.)
    2013-04-04 20:08:38下载
    积分:1
  • LMS
    1,、设置变量和参量:   X(n)为输入向量,或称为训练样本   W(n)为权值向量   e(n)为偏差   d(n)为期望输出   y(n)为实际输出   η为学习速率   n为迭代次数   2、初始化,赋给w(0)各一个较小的随机非零值,令n=0   3、对于一组输入样本x(n)和对应的期望输出d,计算   e(n)=d(n)-X^T(n)W(n)   W(n+1)=W(n)+ηX(n)e(n)   4、判断是否满足条件,若满足算法结束,若否n增加1,转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)
    2011-12-10 20:22:05下载
    积分:1
  • full_inv_rload
    Matlab m file for inverter with r - load
    2011-03-02 23:09:34下载
    积分:1
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