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原创 谱宽参数--程序备份·
import numpy as npimport statsmodels.tsa.api as smtimport mathfrom sympy import *from scipy.fft import fftimport matplotlib.pyplot as pltdef specwid(data, H): """ 计算谱宽参数 :param data:数据 :param H:上限频率 :param fs:采样频率 :return:e谱.
2021-11-04 17:17:06
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原创 python 汉明码
import numpy as npdef func(X): ''' 返回G * H_T ''' H = np.array( [[0, 0, 0, 1, 1, 1, 1], [0, 1, 1, 0, 0, 1, 1], [1, 0, 1, 0, 1, 0, 1]]) G1 = np.eye(4) G2 = [[X[0], X[1], X[2]] , [X[3], X[4], X[5.
2021-10-31 21:29:20
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原创 代解决的代码4
import numpy as npimport sympyfrom scipy.optimize import fsolvefrom sympy import *import mathH = np.array( [[0, 0, 0, 1, 1, 1, 1], [0, 1, 1, 0, 0, 1, 1], [1, 0, 1, 0, 1, 0, 1]])def func(X): ''' 求校验矩阵H.
2021-10-28 19:03:32
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原创 待解决的代码2
import numpy as npimport sympyfrom scipy.optimize import fsolvefrom sympy import *H = np.array( [[0, 0, 0, 1, 1, 1, 1], [0, 1, 1, 0, 0, 1, 1], [1, 0, 1, 0, 1, 0, 1]])def func(X): ''' ''' H = np.ar.
2021-10-27 18:52:08
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原创 待解决错误代码
import numpy as npimport sympyfrom scipy.optimize import fsolvefrom sympy import *H = np.array( [[0, 0, 0, 1, 1, 1, 1], [0, 1, 1, 0, 0, 1, 1], [1, 0, 1, 0, 1, 0, 1]])G1 = np.eye(4)g_15,g_16,g_17 = symbols('g_1.
2021-10-27 16:41:29
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原创 python fastICA
import numpy as npimport mathimport randomimport matplotlib.pyplot as pltimport scipy.io as sciofrom scipy.fft import fft'''函数名称:center_data函数功能:对数据中心化:对输入矩阵的每个元素,都减去该元素所在行(每一行一共有m个元素)的均值输入参数:X 要处理的矩阵,大小为(n,m)返回参数:X_center 进行中心化处理之后的.
2021-10-24 20:57:09
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原创 Python 对一维信号做小波分解
import pywtimport scipy.io as scioimport numpy as npfrom scipy.fft import fftimport matplotlib.pyplot as pltdef waveletdec(s,wname='db6',level=4, mode='symmetric'): N = len(s) w = pywt.Wavelet(wname) a = s ca = [] .
2021-10-24 18:48:12
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原创 【Matlab】使用LMS算法估计时间延迟
LMS算法程序:function [yn,W,en]=LMS(xn,dn,M,mu,itr)% LMS(Least Mean Squre)算法% 输入参数:% xn 输入的信号序列 (列向量)% dn 所期望的响应序列 (列向量)% M 滤波器的阶数 (标量)% mu 收敛因子(步长) (标量) 要求大于0,小于xn的相关矩阵最大特征值的倒数 % itr 迭代次数...
2021-09-25 12:23:25
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