code: import numpy as np from harold import Transfer, simulate_linear_system import matplotlib.pyplot as plt from scipy import signal nbr_inputs = 5 t_in = np.arange(0, 10, 0.2) dim = (nbr_inputs, len(t_in)) x = np.cumsum(np.random.normal(0, 2e-3, dim), axis=1) H = Transfer([[[1, 1, 1], [1, 1, 2], [1, 1, 3], [1, 1, 4], [1, 1, 5]]], [[[1, 1, 1], [1, 1, 2], [1, 1, 3], [1, 1, 4], [1, 1, 5]]]) y, t = simulate_linear_system(H, x.T, t_in[0:1], per_channel=True) y = y.squeeze() plt.plot(t, y) plt.xlabel('Time') plt.ylabel('Output') plt.title('System Output Response') plt.legend(['Input 1', 'Input 2', 'Input 3', 'Input 4', 'Input 5']) plt.show() I want to use simulate_linear_system for onestep like: for i in range(x.shape[1]): 'y[:, i], _ = simulate_linear_system(H, x.T, t_in, per_channel=True)' but error:Time array needs to be a 1D array. I want to single step multiple signal input Continue reading...