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Recent content by talking

  1. T

    internal memory size in SoC chip

    I'm finding out the information of the internal memory (SRAM) size inside an SoC. Actually, any SoC is fine, it can be Qualcomm's snapdragon, Apple A5, TI OMAP, and things like that. Any body who knows how many Bytes of memory such SoCs have? I could find this information from the googling.
  2. T

    THD calculation with two outputs

    Thank you, SunnySkyguy. From my understanding, your suggestion might be as THD(V/V)= {(v_s1)^2 + (v_s2)^2 } / [ {(v_x1h1)^2 + (v_x1h2)^2 + ...} + {(v_x2h1)^2 + (v_x2h2)^2 + ...} + intermodulation_terms^2] Correct?
  3. T

    THD calculation with two outputs

    I have a flash ADC with +/-2v input range. In general, the total harmonic distortion (THD) is measured as: input x(t)=2*sin(wt) is applied to the ADC, and output y(t) is measured. Then THD is calculated from y(t) as THD(V/V) = (v_s)^2 / {(v_xh1)^2 + (v_xh2)^2 + ...} (eq.1) where v_s...
  4. T

    correlation between phase noise and quantization noise

    Lets' assume an ADC exhibits its own quantization noise and phase noise from clock jitter on its spectrum. In general, the quantization noise is a white noise, and the phase noise from a jitter shows two types of noise: close-in phase noise and white phase noise. Here is a question, can we set...
  5. T

    coherent and incoherent sampling ...

    Thanks, SunnySkyguy. i assumed there is no additional circuitry to enhance incoherent condition.. basically, i intend to make the incoherent condition due to some special reason.. so i need to confirm the condition i gave can keep incoherent relation, without any additional activity (ex. pll as...
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    coherent and incoherent sampling ...

    coherent sampling relation is as follows: N/fs = M/f0 where N: # of samples, fs: sampling speed in Hz, M: the integer number of cycles in sampled data, f0: sine frequency. Here is a question. Let's assume M is changed to non-integer, and fs is accordingly calculated again to satisfy the above...
  7. T

    approximation of sine function

    Thanks much for your interests in my question, albbg. The question has been resolved on my own. Thanks again.
  8. T

    approximation of sine function

    The following represents some part of my equation, which describes sine functions in discrete domain. y[n] = sin(2*pi*f0*n*dTs) * sin(2*pi*f0*n*Ts) where f0 is the frequency of sine, and n variable is an integer number, n=[1:N] (e.g., N=64k). dTs and Ts are sampling periods and they have the...
  9. T

    Harmonic vs ADC design spec

    Theoretically.. for ADC performance, it is known that ADC resolution (ENOB) gives major impact on the noise performance (SNR), by the relationship: SNR = 6.02*ENOB + 1.67dB. Again theoretically, what ADC spec (or parameter) mainly causes ADC harmonic distortion (THD) performance? In addition...
  10. T

    fourier transform of sin(A * cos(2*pi*f*t))?

    What is Fourier transform of sin(A * cos(2*pi*f*t)), where A and f are constant?
  11. T

    equations for circuit modeling

    I apologize for unclear notation in my previous question; '*' in my question meant a convolution operator. Basically, my original question was ... In your previous equations, the laplace transform of the following equation (a) has been taken, and it results in equation (b). > a(1) x(t) + a(2)...
  12. T

    equations for circuit modeling

    dillikumar406, I don't fully understand the following calculation. > a(1) x(t) + a(2) x(t)^2 = x(t) * h(t) > taking laplace transform to the above equation > a(1) X(s) + a(2) X(s) = X(s) H(s) Isn't this as follows? a(1) X(s) + a(2) [X(s)*X(s)] = X(s) H(s)
  13. T

    equations for circuit modeling

    my questions is about the relationship between polynomial modeling and transfer function for circuit. As well known, the transfer function h(t) for LTI system has the relationship between input x(t) and output y(t): y(t) = x(t) * h(t) ----- eq(1) where * is convolution operation. Then, a...
  14. T

    difference between transfer function and modeling

    my questions is about the relationship between polynomial modeling and transfer function. As well known, the transfer function h(t) for LTI system has the relationship between input x(t) and output y(t): y(t) = x(t) * h(t) ----- eq(1) where * is convolution operation. Then, a...
  15. T

    Convolution of Fourier Transform

    dillikumar406, Thanks a lot for deriving. From your following derivation to convert sin to sinc function, I'm just wondering the reason to use un-normalized sinc function (which is sinc(x) = sin(x)/x), instead of using normalized sinc (=sin(x pi)/(x pi)). =A {T/2{[sin(w-w0)T/2]/T/2(w-w0)}+...

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