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1

I think that with a 250 MHz sampling clock, you should be able to generate a signal with a 125 MHz max frequency. Also, what type of DDS do you use? Is it based on a table of sine/cosine or is it a CORDIC algorithm? It has an impact on precision. Is the signal path from DDS to DAC ok? Do they work at the same sampling frequency? If not, a resampling module ...


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Based in my comment, here are quite accurate coefficients for A-Weighting filter to be used with 33kHz sampling only: b = [0.759941332414235 -1.931718891800229 0.5144488202077094 2.040523943539552 -1.283344336756084 -0.5073918947145036 0.3880093863750892 0.03272320276137633 -0.01319156202714533] a = [1 -2.840785425332851 1.688214038430988 1.889562806030876 -...


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Short Answer In order to do a complete Zero-IF transmit and receive without inversion, the operations must be done as follows (or otherwise have the signs equally flipped on Q for both transmit and receive): Zero-IF (Direct Conversion) Transmit: $$I_{RF}(t) = I_s(t)\cos(\omega_{LO}t) - Q_s(t)\sin(\omega_{LO}t)$$ Zero-IF Receive: $$I(t) = \text{LPF}\{I_{RF}(t)...


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You are not doing anything "wrong" but sooner or later you will end up "re-inventing" the tool that is doing exactly that already. That tool is the Cepstrum. You wish to estimate the frequency of ripples that show up in the frequency domain and you would like to do this via the Discrete Fourier Transform (DFT) and that is fine. (Your ...


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The OP is trying to do what we would refer to as channel estimation. I am linking two posts below where this is all worked out in greater detail but do want to make the point first that the choice of "sounding pattern" is important. The channel can only be estimated where there is signal energy in the frequency domain, so the sine sweep is an ...


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BOTTOM LINE UP FRONT: I think the exponential decay growth in $\left<|x(t)|^2\right>$ can be shown in the frequency domain only if the "boundary terms" are nonzero when we compute the Fourier transform of $dx(t)$ from the original SDE. I provide only a start in the work below. Since these processes seem like they could possibly be complex-...


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The power spectral density (PSD) is a natural measure of the signal's power content with respect to frequency. A central part of non-parametric signal processing is to provide a "best" estimate of the "true" PSD from knowing only one or some "realizations" with finite length. By taking into account the influence of stationary ...


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First you will need to build the frequency tables for each note scale ex. [B, A, G, F, E, D, C], you will need say what scale you will use to compare with each window pitch, of course you also have to worry that your frequency table includes major or minor chords. But the essence of one basic autotunes works by adjusting to the chromatic scale, In other ...


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