update float32 to float64

Zmq/dataBuffer.py

@@ -11,7 +11,7 @@ class ParadigmRingBuffer:
     def __init__(self, n_chan, n_points):
         self.n_chan = n_chan
         self.n_points = n_points
-        self.buffer = np.zeros((n_chan, n_points), dtype=np.float32)
+        self.buffer = np.zeros((n_chan, n_points), dtype=np.float64)
         self.currentPtr = 0
         self.readPtr = 0
         self.nUpdate = 0

Zmq/filterProcess.py

@@ -18,7 +18,7 @@ class FilterRingBuffer:
         self.n_chan = n_chan
         self.n_points = n_points
 
-        self.buffer = np.zeros((n_chan, n_points), dtype=np.float32)
+        self.buffer = np.zeros((n_chan, n_points), dtype=np.float64)
         self.current_ptr = 0  # 写入指针：指向下一个要写入的位置
         self.total_samples = 0  # 已写入总点数
         self.lock = threading.Lock()  # 线程安全锁

Zmq/zmqServer.py

@@ -174,7 +174,7 @@ class zmqServer(threading.Thread):
             return
             
         # 转置为上位机需要的[50, 通道数]格式
-        filtered_data = filtered_data.T.astype(np.float32)
+        filtered_data = filtered_data.T.astype(np.float64)
         send_buf = filtered_data.tobytes()
         algo_log(f"发送滤波数据，长度: {len(send_buf)}字节, filtered_data.shape: {filtered_data.shape}", level="DEBUG")
         self.data_send_queue.put(send_buf)
@@ -292,7 +292,7 @@ class zmqServer(threading.Thread):
                 return
 
             # 零拷贝解析 + 维度转换
-            data_np = np.frombuffer(data_bytes, dtype=np.float32)
+            data_np = np.frombuffer(data_bytes, dtype=np.float64)
             data_np = data_np.reshape(self.device_info['frame_points'], self.device_info['channel_nums'])
             data_np = data_np.T.astype(np.float64)