A continuous-time signal x(t) is sampled at 1000 samples/second with negligible aliasing. You use its samples...

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A continuous-time signal x(t) is sampled at 1000 samples/second with negligible aliasing. You use its samples to compute its spectrogram using the FFT at various time shifts. You then obtain the graph on the side, where the x-axis represent time in seconds and the y-axis represent the normalized frequency of each FFT output between 0 and 2. Among the signals below, which signal x(t) was most likely sampled? 5 4 cos (27-501), for 0≤t≤0.1s x(t)= cos (27-2001), for 0.2≤1≤0.3s cos (27-50t), for 0.4<t≤0.5s x3 (t)= 0, otherwise x₂ (1)= 0, cos (27 1001), for 0<t≤0.1s cos (27-400), for 0.2<t≤0.3s cos (27-100), for 0.4<t<0.5s otherwise x(t)= 3 2 1 0 0.1 0.2 0.3 0.4 0.5 cos (27-100), for 0<t<0.1s cos (27-3001), for 0.2<t≤0.3s cos (27-1001), for 0.4<t<0.5s 0, otherwise cos (27-501), for 0≤t≤0.1s cos (27-100t), for 0.2<t≤0.3s cos (27-501), for 0.4<t<0.5s 0, otherwise A continuous-time signal x(t) is sampled at 1000 samples/second with negligible aliasing. You use its samples to compute its spectrogram using the FFT at various time shifts. You then obtain the graph on the side, where the x-axis represent time in seconds and the y-axis represent the normalized frequency of each FFT output between 0 and 2. Among the signals below, which signal x(t) was most likely sampled? 5 4 cos (27-501), for 0≤t≤0.1s x(t)= cos (27-2001), for 0.2≤1≤0.3s cos (27-50t), for 0.4<t≤0.5s x3 (t)= 0, otherwise x₂ (1)= 0, cos (27 1001), for 0<t≤0.1s cos (27-400), for 0.2<t≤0.3s cos (27-100), for 0.4<t<0.5s otherwise x(t)= 3 2 1 0 0.1 0.2 0.3 0.4 0.5 cos (27-100), for 0<t<0.1s cos (27-3001), for 0.2<t≤0.3s cos (27-1001), for 0.4<t<0.5s 0, otherwise cos (27-501), for 0≤t≤0.1s cos (27-100t), for 0.2<t≤0.3s cos (27-501), for 0.4<t<0.5s 0, otherwise