Hello everyone I am trying to write a code for a analog out from speaker and collecting the speaker stimuli and response via microphone. When the codes written individually for speaker output and microphone input they work but when I try to sync them the code is not generating output.
def generate_wave(freqA, freqB, N_freq, Amplitude, duration, samplingRate, dutycycle) :
N_freq = N_freq+1
#Time vector
t = np.linspace(0, duration, int(samplingRate*duration),endpoint=False)
#sample Points
N_tot = int(samplingRate*duration)
N_max = int(0.8*N_tot*dutycycle)
N_rise = int(0.1*N_tot*dutycycle)
N_zero = N_tot-N_max-N_rise*2
#initialize wave
#wave_amplitude = np.zeros(N_tot)
wave_amplitude1 = np.linspace(0,Amplitude,N_rise)
wave_amplitude2 = Amplitude*np.ones(N_max)
wave_amplitude3 = np.linspace(Amplitude,0,N_rise)
wave_amplitude4 = np.zeros(N_zero)
wave_amplitude = np.concatenate((wave_amplitude1,wave_amplitude2,wave_amplitude3,wave_amplitude4),axis=None)
wave = wave_amplitude*np.sin(2*np.pi*freqA*t)
freq_step = (freqB-freqA)/(N_freq-1)
for i in range(N_freq-2) :
frequency = freqA + freq_step*(i+1)
ti = np.linspace(duration*(i+1),duration*(i+2),int(samplingRate*duration),endpoint=False)
wave_cur = wave_amplitude*np.sin(2*np.pi*frequency*ti)
wave = np.concatenate((wave,wave_cur),axis=None)
time = np.linspace(0, duration*(N_freq-1), int(samplingRate*duration)*(N_freq-1),endpoint=False)
return time, wave
!!!!
freqA = 10 # Initial Frequency
freqB = 100 # Final frequency
N_freq = 10 # Number of frequencies
Amplitude = 0.5 # Amplitude of wave
duration = 1 # duration for one frquency
samplingRate = 1000 #number of time steps
dutycycle = 0.9 # duty cycle in decimals
time, output = generate_wave(freqA, freqB, N_freq, Amplitude, duration, samplingRate, dutycycle)
!!!!
The above code generates the output to speaker and when run individually I can differentiate the 10 frequencies given
The error occurs in the next part of the code given below
!!!
try:
# Create a task for analog output
with nidaqmx.Task() as ao_task,nidaqmx.Task() as ai_task:
ao_task.ao_channels.add_ao_voltage_chan("Dev1/ao0")
ao_task.timing.cfg_samp_clk_timing(sampling_rate, samps_per_chan=num_samples, sample_mode=nidaqmx.constants.AcquisitionType.CONTINUOUS)
# Write the output signal to the analog output channel
# Create a task for analog input
ai_task.ai_channels.add_ai_voltage_chan("Dev1/ai0")
ai_task.ai_channels.add_ai_voltage_chan("Dev1/ai1") # Second analog input channel
ai_task.timing.cfg_samp_clk_timing(sampling_rate, samps_per_chan=num_samples, sample_mode=nidaqmx.constants.AcquisitionType.CONTINUOUS)
# Read data
output_signal = output
ao_task.write(output_signal, auto_start=False)
data = ai_task.read(number_of_samples_per_channel=num_samples)
ao_task.start()
ai_task.start()
ao_task.wait_until_done()
ai_task.wait_until_done()
ao_task.stop()
ai_task.stop()
# Separate the data from the two analog input channels
data_ai1 = [d[0] for d in data] # Data from the first analog input channel
data_ai2 = [d[1] for d in data] # Data from the second analog input channel
# Store data to excel
df = pd.DataFrame({"Voltage_AI0": data_ai1, "Voltage_AI1": data_ai2})
# Save DataFrame to Excel file
df.to_csv("acquired_data_AI_AO.csv", index=False)
except nidaqmx.DaqError as e:
print(f"DAQmx Error: {e}")
!!!
DAQmx Error: Specified operation cannot be performed while the task is running.
Can anyone help regarding this issue
