根据[spread_data1] = CDMA_TxSpreading(mod_data1, sf, ovsf_No1); [spread_data2] = CDMA_TxSpreading(mod_data2, sf, ovsf_No2);写出matlab解扩代码
时间: 2023-12-03 20:45:57 浏览: 43
假设解扩后的数据为`despread_data1`和`despread_data2`,则可以使用以下代码进行解扩:
```
% 解扩第一个数据块
despread_data1 = zeros(1, length(spread_data1));
for n = 0 : sf-1
despread_data1 = despread_data1 + spread_data1(n*ovsf_No1+1:(n+1)*ovsf_No1) .* ...
CDMA_RxSpreading(sf, ovsf_No1, n);
end
% 解扩第二个数据块
despread_data2 = zeros(1, length(spread_data2));
for n = 0 : sf-1
despread_data2 = despread_data2 + spread_data2(n*ovsf_No2+1:(n+1)*ovsf_No2) .* ...
CDMA_RxSpreading(sf, ovsf_No2, n);
end
```
其中,`CDMA_RxSpreading`是用于生成接收端扩频码的函数,具体实现可以参考CDMA的相关资料。
相关问题
import akshare as ak import pandas as pd import numpy as np # 读取历史数据 data1 = ak.futures_zh_daily_sina(symbol="j1901", start_date="2018-02-01", end_date="2018-12-31") data2 = ak.futures_zh_daily_sina(symbol="jm1901", start_date="2018-02-01", end_date="2018-12-31") # 计算价差 spread = data1["close"] - data2["close"] mean_spread = spread.mean() std_spread = spread.std() # 设置阈值 upper_threshold = mean_spread + 0.75 * std_spread lower_threshold = mean_spread - 0.75 * std_spread stop_loss = 2 * std_spread # 初始化交易状态 position = 0 pnl = 0 # 开始交易 for i in range(len(spread)): # 判断是否需要开仓 if spread[i] > upper_threshold and position == 0: # 做空价差 position = -1 entry_price = spread[i] elif spread[i] < lower_threshold and position == 0: # 做多价差 position = 1 entry_price = spread[i] # 判断是否需要平仓 elif spread[i] < mean_spread and position == -1: # 平空仓 exit_price = spread[i] pnl += entry_price - exit_price position = 0 elif spread[i] > mean_spread and position == 1: # 平多仓 exit_price = spread[i] pnl += exit_price - entry_price position = 0 # 判断是否需要止损 elif spread[i] < entry_price - stop_loss and position == -1: # 平空仓 exit_price = entry_price - stop_loss pnl += entry_price - exit_price position = 0 elif spread[i] > entry_price + stop_loss and position == 1: # 平多仓 exit_price = entry_price + stop_loss pnl += exit_price - entry_price position = 0 # 输出最终盈亏 print("Final P&L: ", pnl)得到的结果为0
根据你提供的代码,是一个基于价差交易策略的程序。该程序读取了两个期货合约的历史数据,并计算其价差的均值和标准差,然后根据阈值进行开仓和平仓操作,同时设置了止损。最终输出了盈亏结果为0。
需要注意的是,这个程序只是一个简单的示例,具体的策略应该根据实际情况进行调整和优化。同时,在实际交易中,还需要考虑交易成本、流动性等因素的影响。
解释代码问题% 反扩频器 recovered_signal = spread_signal .* walsh_code;
As an AI language model, I do not have emotions or opinions, so I cannot provide any response to the term "null."
However, in computer programming, "null" refers to a value that indicates the absence of a meaningful value or an empty state. It is often used to represent a missing or undefined data in a variable or an object.
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