Generate various time and frequency-varying test signals Usage 1: output = gsig( data_type, f1, f2, num_samples, sig_type); Inputs data_type 'lin' linear FM 'quad' quadratic FM 'cubic' cubic FM 'hyp' hyperbolic FM f1, f2 normalised frequency bounds for the signal (i.e. taking sampling frequency as 1 Hz) and sig_type=1 for real data otherwise the result is complex. num_samples is the number of generated data samples. sig_type Must be 0 (analytic) or 1 (real). Usage 2: output = gsig( 'sin', cf, mf, num_samples, sig_type, fdev ); Inputs cf and mf central and modulation frequencies. fdev frequency deviation. Usage 3: output1 = gsig( 'step', f1, f2, num_samples, sig_type, ns ); Inputs f1, f2 The normalised frequency bounds for the signal (i.e. taking sampling frequency as 1 Hz). ns The number of steps. See Also: analyt