26
27    # Summarize and visualize the analyzed signals
28    def generate_report(analyzed_signals):
29        report =...30        return report
31
32    def visualize_signals(signal_data, analyzed_signals):

19
20    # Apply signal processing techniques using Dask's map_partitions function
21    def analyze_radio_signal(signal_data):
22        analyzed_signals =...23        return analyzed_signals
24
25    analyzed_ddf = ddf.map_partitions(analyze_radio_signal)

11
12    def preprocess_signal(signal_data):
13        # Preprocess the signal data (e.g., normalize, remove noise)
14        preprocessed_data =...15        return preprocessed_data
16
17    # Create a Dask dataframe from the real-time data stream

23        if block['previous_block_hash']!= previous_block_hash:
24            return False
25        block_hash = self.calculate_block_hash(block)
26        if block_hash!= block['hash']:27            return False
28        return True
29

20        return hashlib.sha256(block_string.encode()).hexdigest()
21
22    def validate_block(self, block, previous_block_hash):
23        if block['previous_block_hash']!= previous_block_hash:24            return False
25        block_hash = self.calculate_block_hash(block)
26        if block_hash!= block['hash']: