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What are different carrier recovery methods?
Methods. For a quiet carrier or a signal containing a dominant carrier spectral line, carrier recovery can be accomplished with a simple band-pass filter at the carrier frequency or with a phase-locked loop, or both. Reducing the carrier power results in greater transmitter efficiency.
Which among baseband signal is true?
A baseband signal or lowpass signal is a signal that can include frequencies that are very near zero, by comparison with its highest frequency (for example, a sound waveform can be considered as a baseband signal, whereas a radio signal or any other modulated signal is not).
Why is it necessary to modulate a baseband signal on a carrier signal before transmitting it?
Sampling Theory But a baseband signal cannot be transmitted over a radio link or a satellite because this would require a large antenna to radiate the low-frequency spectrum of the signal. Hence the baseband signal spectrum must be shifted to a higher frequency by modulating a carrier with the baseband signal.
What is Carrier Synchronization?
Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal.
How to convert a complex signal to a real signal?
Converting back to real from complex is similar. You’ll stuff it with zeroes for every other sample to undo the decimation. You’ll filter the complex signal to remove an alias you just introduced. You’ll tune it up by Fs/4, and then throw away the imaginary component.
How does DSP convert sampled signal to real signal?
It does this by essentially chopping of half of the Fourier spectrum, which involves a single choice of “helicity” (i.e. cw vs ccw) but allows you to do things like perfectly pitch shift by multiplying by a single phasor. The possibilities are endless, and I hope this complex representation of audio catches on!
Can a Hilbert transform produce a complex signal?
If you want to produce a one-sided signal with a complex spectrum from a real vector, you can use a Hilbert transform (or filter) to create an imaginary component with the same spectrum but conjugate phase (except for DC). This would probably not be both fast and accurate.
How to convert a real sample to a complex sample?
A C++ sample code (real, not complex 😉 would be more than welcome. Edit: IPP code will be much welcome. Edit: I’m looking for a method that will convert n real-samples to n/2 complex-samples and vice-versa, without affecting the bandwidth. Adding zeros as the imaginary is conceptually the first step in what you want to do.