diff --git a/agentMET4FOF/signal_processing.py b/agentMET4FOF/signal_processing.py
new file mode 100644
index 00000000..0c6d557e
--- /dev/null
+++ b/agentMET4FOF/signal_processing.py
@@ -0,0 +1,49 @@
+import matplotlib
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy import fftpack
+
+from agentMET4FOF.agents import AgentMET4FOF
+
+matplotlib.use("Agg") # for sending plots as images
+
+class FFT_Agent(AgentMET4FOF):
+    """
+    Buffers the received signal and apply fft on the collected signal upon reaching the `buffer_size` limit.
+    The buffer then empties and the fft spectrum data and its plot are sent out on `default` and `plot` channel respectively.
+
+    Parameters
+    ----------
+    s_freq : int
+        Actual sampling frequency for plotting the x-axis
+    """
+
+    def init_parameters(self, s_freq=1):
+        self.s_freq = s_freq
+
+    def on_received_message(self, message):
+        single_measurement = message["data"]
+        agent_from = message["from"]
+        self.buffer.store(data=single_measurement, agent_from=agent_from)
+
+        if self.buffer.buffer_filled(agent_from):
+            # extract collected signal from buffer
+            buffered_sig = self.buffer[agent_from]
+
+            # apply fft and convert to amplitudes
+            sig_fft = fftpack.fft(buffered_sig)
+            power_amp = np.abs(sig_fft) ** 2
+
+            # get the corresponding frequencies
+            sample_freq = fftpack.fftfreq(len(buffered_sig), d=1/self.s_freq)
+            self.send_output(power_amp)
+            self.send_plot(self.plot_fft(power_amp, sample_freq))
+            self.buffer_clear(agent_from)
+
+    def plot_fft(self, amplitudes, sample_freq):
+        N = len(amplitudes)
+        fig = plt.figure()
+        plt.plot(sample_freq[1:N//2], amplitudes[1:N//2])
+        plt.xlabel("Frequency (Hz)")
+        plt.ylabel("Power Amplitude")
+        return fig
diff --git a/agentMET4FOF_tutorials/signal_processing/fft_example.py b/agentMET4FOF_tutorials/signal_processing/fft_example.py
new file mode 100644
index 00000000..62815233
--- /dev/null
+++ b/agentMET4FOF_tutorials/signal_processing/fft_example.py
@@ -0,0 +1,28 @@
+from agentMET4FOF.agents import AgentNetwork, SineGeneratorAgent, MonitorAgent
+from agentMET4FOF.signal_processing import FFT_Agent
+
+
+def main():
+    # start agent network server
+    agentNetwork = AgentNetwork(backend="mesa")
+    # init agents
+    gen_agent = agentNetwork.add_agent(agentType=SineGeneratorAgent)
+    fft_agent = agentNetwork.add_agent(agentType=FFT_Agent, buffer_size=50, s_freq=100)
+    monitor_agent = agentNetwork.add_agent(agentType=MonitorAgent)
+
+    # connect agents : We can connect multiple agents to any particular agent
+    agentNetwork.bind_agents(gen_agent, fft_agent)
+
+    # connect
+    agentNetwork.bind_agents(gen_agent, monitor_agent)
+    agentNetwork.bind_agents(fft_agent, monitor_agent, channel=["plot"])
+
+    # set all agents states to "Running"
+    agentNetwork.set_running_state()
+
+    # allow for shutting down the network after execution
+    return agentNetwork
+
+
+if __name__ == "__main__":
+    main()
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