Fourier transform of a real signal

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Taking the Fourier transform of a real signal results in a symmetric spectrum. When performing a Fast Fourier Transform (FFT) and discarding half of the spectrum, the inverse transform yields a complex signal. This complex signal, denoted as rc(t), is believed to retain all the information necessary to reconstruct the original real signal. The underlying principles of this reconstruction process are detailed in a referenced paper. Understanding this relationship is crucial for signal processing applications.
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Taking a Fourier-transform of a real signal, gives me a spectrum that has symmetry.

If I take the FFT of a real signal, then throw away half of the spectrum, and then do an inverse transform I get a complex-signal.

I go from r(t) to rc(t) where rc(t) is a complex-signal.

Now this complex-signal supposedly contains all the information to reconstruct the original real-signal. My question is, how?
 
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If anyone is interested, this question is answered in the following paper:
http://classes.engr.oregonstate.edu/eecs/winter2009/ece464/AnalyticSignal_Sept1999_SPTrans.pdf
 
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