Output Signal-to-Noise Power Ratio Characteristics in FM Communication Systems with Fading

SUMMARY AND DISCUSSION OF SIGNAL-TO-NOISE RATIO IMPROVEMENT FORMULAE FOR FM and FM/FM LINKS

Frequently, a need exists to compute the postdetection (recovered data) signal-to-noise ratios (SNR) in a given frequency modulated (FM) or double frequency modulated (FM/FM) transmission link; alternately certain postdetection SNR requirements are established, and the link’s parameters must be correspondingly specified. In either case, relationships that clearly relate postdetection SNR to lin...

Control and Communication with Signal-to-Noise Ratio Constraints

This thesis is about two problems in the intersection of communication and control theory. Their common feature is that they involve communication over an additive white noise channel with a signal-to-noise ratio (SNR) constraint. The first problem concerns the transmission of a real-valued signal from a partially observed Markov source. The distortion criterion is the mean squared error and th...

Improving the Power Line Communication Signal-to-Noise Ratio During a Resistive Load Commutation

In any cable or power line communications, impulse noise is known to be the most difficult noise to filter. In particular, non periodic asynchronous impulse noise is impossible to predict. Under such noise conditions, the OFDM symbol generally used in PLC is corrupted. To overcome this problem, the signal-to-noise ratio is generally improved by detecting and/or filtering the noise. This leads h...

Long-term signal-to-noise ratio at the input and output of amplitude-compression systems.

We present measurements showing that the long-term signal-to-noise ratio (SNR) at the output of an amplification system that includes amplitude compression may be higher or lower than the long-term SNR at the input, dependent on interactions among the actual long-term input SNR, the modulation characteristics of the signal and noise being mixed, and the amplitude compression characteristics of ...

Optical Signal-to-Noise Ratio and the Q-Factor in Fiber-Optic Communication Systems