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So we select frames to see arc, distance, body position, moment of takeoff and the edge they're coming off of.
Now, we discuss the arc distance between the two digital frequency bands.
Fig. 7 The minimum arc distance between the signal frequency band and the harmonic frequency bands.
Figure 6 The relationship between the arc distance along a circle and Euclidean distance.
That is to say, by shifting the arc distance function D c0(α 0) of the center frequency a amount of ξ, the arc distance between any two points inside the frequency band can be obtained.
Fig. 6 Searching of the arc distance peaks with the variation of f 1 T S Fig. 7 The cylindrical surface spectrum (b) of a multiband signal (a) when the minimum arc distance is 0.155.
Similar(21)
With each derivative cell we also associate the arc length (distance) in the denoised curve that the cell covers.
In this paper, we propose a cylindrical surface spectrum and arc distance-based sampling frequency selection method for multiband RF signals.
The inter-band arc distances are important references for optimizing the transition bandwidth of the filter after the sampling and demodulation process.
Furthermore, with this method, the minimum arc distances between the frequency bands of the signal and the interferences can be calculated.
Consider the minimum value of the arc distances between the signal frequency band (the center frequency is f 0 and the bandwidth is B) and all the harmonic frequency bands generated by the nonlinear items whose center frequencies are not f 0: {D}_{c min}(x)=underset{f_kne {f}_0}{min}left{{D}_{cB}left({f}_k,{B}_k,{f}_0,B,kern0.1em x/{f}_0right)right}, (34).
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