Knee frequency means where the spectral envelope starts to roll-off 20 dB/dec. This is about 0.35/tr for gaussian pulse shapes.
I have thought that for usual digital signals, the frequency doesn't actually matter for good signal integrity. If you can get one single rising/falling edge cleanly to the receiver, then the system works, regardless how many edges per time unit you do (=frequency). Thinking this from frequency viewpoint is IMO a "DC-handicapped" way. Frequency (memory bus for example) only affects the timing margins of a multi-signal system (intra-signal skew must be more tightly controlled).
RF people seems to be particularly fixated to the frequency thinking. That is of course natural since they usually work with narrow-band signals, where carrier frequency is relatively high (MHz-GHz range), but signal bandwidth is usually narrow compared to the carrier. It is valid assumption there that signal is "single frequency", thus you can speak of "xxx MHz" signal. Digital is other way around, carrier is DC but the signal bandwidth is from DC up to the knee frequency. Result is that spectral content of the signal does not obey the 50% square wave spectrum, exception of the clock signals, of course.
Where this frequency thinking fails, take a memory bus for example. It might be that some signal lines to be idle for relatively long but even when the "frequency" is low, the edge rate does not change. The signal must change its state fast enough when the "action" begins in the bus. So from the signal integrity point, one must use the edge rate as basis of the termination and other signal integrity requirements. If you have only 10% duty cycle, then the spectra is completely different, and the attenuation characteristic of harmonic components is quite different. PBRS assumption is more appropriate for data and address lines.
I have made several measurements on real digital signals using a spectrum analyzer. I'm actually quite amazed how few people take a look at their signals from this perspective. Scope can't usually show such wide bandwidth properly as FFT implementations are somewhat limited for very wideband measurements. It is not always that one can even see the knee frequency, as the pulse shape does not conform to the gaussian shape. For example
here is a measurement of 27 and 125 MHz signals (markers tend to lie somewhat due to setting resolution). It shows that after initial attenuation, both signals have approximately same harmonic content. Lower frequency signal has only more harmonics. Some outputs have this knee more visible. For example,
a 100 MHz clock signal from Cyclone II FPGA has this knee very well visible in around 3-4 GHz.
As data signals, like in USB and other similar stuff, the spectrum tends to resemble
PBRS spectrum, where spectrum is continuous up to data rate, where the first null point is (excluding the clock leakage due to imperfections). Also, 900 MHz GSM base station tends to interfere a bit with this measurement (apparently rising around 950 MHz).
From information point of view, the frequencies below first null are important. The receiver on the high speed serial links (SGMII, SATA, USB, etc.) are usually combination of clock recovery and receiver (sampler). It is not practical or even possible to use the signals directly, due to imperfections. The clock recovery block recovers the symbol rate clock and adjusts the sampling point of the receiver to be in the middle of the eye opening, where we have the biggest difference between possible symbol states. So if we have sufficiently open eye, then we can easily recover the signal.
Regards,
Janne