hackrf OOK算法简单数据分析(傅里叶计算)

python 复制代码
import numpy as np



def savedata():
    data = []
    i = 0
    c = 0
    while c < 100:
        if c == 50:
            data.append((127.5*np.sin(2*np.pi/(32000/1000))))  # 当数据为 1 时
            data.append((127.5*np.cos(2*np.pi/(32000/1000))))
        data.append((i*127.5*np.sin(2*np.pi/(32000/1000))))   # 当数据为 0 时
        data.append((i*127.5*np.cos(2*np.pi/(32000/1000))))
        i += 1
        c += 1
        i /= (32000/1000)
    np.save("1",data)
    return 

def loaddata():
    data = np.load("1.npy")
    print(data)

savedata()
loaddata()
python 复制代码
[  0.           0.           0.777313     3.90781635   0.80160403
   4.02993561   0.80236313   4.03375184   0.80238685   4.0338711
   0.80238759   4.03387482   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
  24.87401606 125.05012325   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494   0.80238761   4.03387494   0.80238761
   4.03387494   0.80238761   4.03387494   0.80238761   4.03387494
   0.80238761   4.03387494]

4.03387494 为虚拟信号 也就是在gnuradio里需要虚拟信号加上数据信号

当 c = 50 时 我们让信号竖起 在没有数据时 信号是平的

相关推荐
我搞slam38 分钟前
快乐数--leetcode
算法·leetcode·哈希算法
WWZZ20251 小时前
快速上手大模型:机器学习3(多元线性回归及梯度、向量化、正规方程)
人工智能·算法·机器学习·机器人·slam·具身感知
东方佑2 小时前
从字符串中提取重复子串的Python算法解析
windows·python·算法
西阳未落3 小时前
LeetCode——二分(进阶)
算法·leetcode·职场和发展
通信小呆呆3 小时前
以矩阵视角统一理解:外积、Kronecker 积与 Khatri–Rao 积(含MATLAB可视化)
线性代数·算法·matlab·矩阵·信号处理
CoderCodingNo4 小时前
【GESP】C++四级真题 luogu-B4068 [GESP202412 四级] Recamán
开发语言·c++·算法
一个不知名程序员www4 小时前
算法学习入门---双指针(C++)
c++·算法
Shilong Wang5 小时前
MLE, MAP, Full Bayes
人工智能·算法·机器学习
Theodore_10225 小时前
机器学习(6)特征工程与多项式回归
深度学习·算法·机器学习·数据分析·多项式回归
知花实央l5 小时前
【算法与数据结构】拓扑排序实战(栈+邻接表+环判断,附可运行代码)
数据结构·算法