I think you are confusing multiple concepts. As piiperi Reinstate Monica stated, the example you give would be 2 pitches rather than a non-pitched sound.
The term non-pitched usually refers to percussion instruments, percussive sounds, scratching, and other "sounds" for which it is difficult to define a fundamental. I think you got that part right. But the example of two sine waves would be perceived as an interval not a non pitched sound. This is because our brain is capable of doing FFT, or some equivalent process, and discovering the "tones" present in a complex signal. Actually the ear may have something to do with the process too, as the nerves within it are probably "tuned" to pick up specific frequencies.
To address your question about how two tones would be perceived when they have different amplitudes I'd ask you how you perceive the instruments in a band or orchestra when one is playing quiet while the other is loud? You would hear two things, two tones, at two volumes. This is a common experience. Using MATLAB, SCILAB, or any other off the shelf high level programming language you can make a wave file from sample of
A1 * sin(2pi f1 t) + A2 * sin(2pi f2 t)
sampling t as time. You can adjust the A1, and A2 as well as f1 and f2 as answer your own question. Humans have limits to their detection abilities. When one amplitude is too small perhaps that tone will not be picked up by the ear. When the two tones are close in frequency you will likely not be able to distinguish them at all, you may hear beats from the amplitude modulation. You cannot not stop the envelop from forming with sig proc tricks. Your synthesis will generate the envelope. If f2 is a multiple of f1 you may not hear an interval but your brain might start to form the perception that this is a single tone with different timbre. this is a tricky phenomenon to evaluate. Many musicians in their training are exposed to the art of listening for harmonics (I have been indoctrinated to that). With practice it is alleged that the trained ear can separate the harmonics in a complex tone. I am NOT talking about distinguishing 440Hz from 500Hz which is probably easy if it is bigger than a 1/2 step, but hearing the octave, octave and a 5th, etc, in a single plucked guitar note, or hammered piano note. I'd be curious to hear from others here if they are successful in doing this. In the case when two notes are closer than the pitch discrimination ability of the listener we typically hear the average tone, sum tone. And this is NOT a non-pitched sound, it is very well pitched.
Moving on to timbre and tone. What makes a guitar sound like a guitar and a violin sound like a violin (and not each other) is the harmonic content of the wave produced. In both cases that is "likely" dominated by the physics string. The body construction can dampen or amplify various harmonics by the starting point is the string. The key feature for any instrument is the method of attack. This is what produces the initial set of harmonics in the wave form. Bowed, hammered, plucked, at various locations with various angles and pressures all produce different tones. Without the attack everything would be a dull sine wave buzz. Even turning on a sine wave generator producing an infinite series of harmonics due to the hard edge rise of the wave at t = 0. Once the tone is produced by the instrument damping will cause the harmonics to decay over time, usually higher harmonics decay faster because the damping force is proportional to velocity, which is proportional to frequency in the frequency domain. Thus, over time any instrument excited in any manner will eventually ring at the fundamental, or lowest note in the excitation spectrum (may not be the true fundamental). The rate of decay depends on several factors but lone story short each instrument will have a characteristic decay profile. Thus, any "pitched" sound from an instrument will have an attack, sustain, and decay portion to the envelope.
If you wanted to synthesize two guitars playing a two part harmony, an interval, then you would need to generate the full spectrum for each guitar given its fundamental, then add the two results.
Anyone can do a fairly accurate job these days synthesizing musical instruments using Fourier analysis and some type of computer s/w. You need to know enough physics to model it correctly without data, but you can get real data and use that as a characteristic sample to measure key parameters. A very poor person's version of a synthesized guitar string would just be the FFT of a plucked string over the entire duration of the sound. This would sound like crap! Because the synthesis mixes all the physics of attack, sustain, and decay into one wave that is constant over time. To do the job correctly one needs to chop the time domain window up in to small slices and analyze the content of each window, building up a time dependent set of parameters. If you have a really high fidelity model of the instrument you can predict this behavior in time. I have done this in my career, synthesizing sound from sources based on physics based simulations.
So, why describe all this? Because I think that the parameters of your question make it unanswerable. You want us to ignore the envelope for now and just focus on the tone within it. One could argue that the initial "Attack" of any instrument (the first few milliseconds or hundredths of a second) are always non-pitched. By the same token everything has natural resonance frequencies. If you whack a bar the initial "POP" sound of that whack is "non-pitched" but in time you may hear the faint ringing of a resonance frequency left over, which is in fact pitched. Non-pitched sounds are, by their very nature, broad band in the frequency domain. So you CANNOT ignore the envelop. If your desire is to synthesize percussive instruments, or scratching of a bow on a cello, or the sound of an over driven woodwind instrument then I'd say you can absolutely do that with FFT and iFFT techniques, but it would require detailed analysis of the time evolution of the envelop. The initial rise is very important for this.
f0
andsqrt(2)*f0
. There is no way a sum of two sin waves at these frequencies can repeat.