I'm using standard definitions, you are not.
...
Here is a chart for your edification:
Table 8.2 Error Rate of a Binary Transmission System Versus Signal-to-rms- Noise Ratio
Error Rate S/N (dB) Error Rate S/N (dB) 10^-2 13.5 10^-7 20.3 10^-3 16.0 10^-8 21.0 10^-4 17.5 10^-9 21.6 10^-5 18.7 10^-10 22.0 10^-6 19.6 10^-11 22.2
By comparison, the worst SNR allowed for a POTS telephone line is 24 dB (which would cause most customers to scream bloody murder). That is 2 dB *higher* than the 22 dB which produces a vanishingly small error rate on a binary digital system.
The above chart is from page 361 of "Telecommunications System Engineering" Third Edition, Roger L. Freeman, 1996.
It is summed up by Freeman with this statement,
"In a purely binary transmission system, if a 20-dB signal-to-noise ratio is maintained, the system operates nearly error free."
And we might note that various different modulation schemes are even better than that. PSK for example would have numbers approximately 3 dB better, allowing a 10^-3 bit error rate with only a 13 dB SNR... which is a useful error rate unattainable at that SNR with an analog system.
Please look up a few definitions. Here is a web site that has a dictionary of standard terms, which is quite useful.
A few that are relevant:
digital transmission system: A transmission system in which (a) all circuits carry digital signals and (b) the signals are combined into one or more serial bit streams that include all framing and supervisory signals. Note: A-D/D-A conversion, if required, is accomplished external to the system.
analog transmission: Transmission of a continuously varying signal as opposed to transmission of a discretely varying signal.
A digital system is one that carries digital (discretely varying) signals. An analog system does *not*.
But just to be sure we understand what "digital" is in regard to data or signals,
digital data: 1. Data represented by discrete values or conditions, as opposed to analog data. (188) 2. Discrete representations of quantized values of variables, e.g. , the representation of numbers by digits, perhaps with special characters and the "space" character.
analog data: Data represented by a physical quantity that is considered to be continuously variable and has a magnitude directly proportional to the data or to a suitable function of the data.
analog signal: 1. A signal that has a continuous nature rather than a pulsed or discrete nature. Note: Electrical or physical analogies, such as continuously varying voltages, frequencies, or phases, may be used as analog signals. 2. A nominally continuous electrical signal that varies in some direct correlation with another signal impressed on a transducer. Note: For example, an analog signal may vary in frequency, phase, or amplitude in response to changes in physical phenomena, such as sound, light, heat, position, or pressure.
Claiming there is no noise in a digital system, or that something applies to digital "modulation technique" as opposed to a digital "system" is indicative of not understanding what a digital system is by definition.
As I've pointed out in another article, Shannon's 1948 paper "A Mathematical Theory of Communication" has a section on digital channels with noise. On page 19, Part II begins with this:
"PART II: THE DISCRETE CHANNEL WITH NOISE
- REPRESENTATION OF A NOISY DISCRETE CHANNEL
We now consider the case where the signal is perturbed by noise during transmission or at one or the other of the terminals. This means that the received signal is not necessarily the same as that sent out by the transmitter. Two cases may be distinguished. If a particular transmitted signal always produces the same received signal, i.e., the received signal is a definite function of the transmitted signal, then the effect may be called distortion. If this function has an inverse -- no two transmitted signals producing the same received signal -- distortion may be corrected, at least in principle, by merely performing the inverse functional operation on the received signal.
I've always liked that paragraph because it defines the distinction between distortion and noise pedantically, but it also clearly indicates the concept of noise in a digital system.