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23 Threads found on edaboard.com: Phase Correlation
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 an equation to represent (...)
correlation only exists for a known equivalent circuit. Linear (RLC) will be quite different from non-linear ( pulsed current at a particular phase offset) and then amount of filtering affects THD.
hi,all I have read the file "Predicting the phase Noise and Jitter of PLL-Based Frequency Synthesizers" ,which i download from this forum. I can calculate the period jitter by the matlab code on page 46,but I do not know how to calculate phase jitter using matlab. Could anyone help figure it out? thanks any help in advance110336[/ATT
I want to use cross correlation technique to obtain relative phase difference between Current & Voltage waveform of the same frequency. I was reading following technique where U1(k) which is the discrete voltage across the piezo-transducer and I(k) is the discrete current. U2(k) is obtained by shifting U1(k) to the right by No samples t
You could just use a digital divider, or I would think just double the PLL locked oscillator, or if you are REALLY ambitious a regenerative divider (thats a blast from the past :grin:). I was thinking about if it could be possible, by using two reference oscillators, say nom. IF +- 100KHZ, to get the modulation side bands to cancel but not the
Many Labboy done "phase Shift Measure Card" , Hardware be impremented .
You will need an auto correlation filter in both directions, ignoring amplitude and phase. This can "manually" be done with an FFT and a shape comparison in the frequency domain, which is most appropriate for hardware implementation.
Dear all, Suppose I have two signal time series x(t) and y(t) recorded simultaneously and sampled with the same sampling rate. If I understand this correctly, the cross spectrum can be estimated by Fourier-transforming the cross-correlation function, which would be Sxy(f) = F { E{} } and the coherency between
Dear all, Suppose I have two signal time series x(t) and y(t) recorded simultaneously and sampled with the same sampling rate. If I understand this correctly, the cross spectrum can be estimated by Fourier-transforming the cross-correlation function, which would be Sxy(f) = F { E{} } and the coherency between x(
If you multiply two harmonics of a single source, the noises of the harmonics will be-more or less- correlated, that's why this correlation will degredade the PN performence..If this correlation is one, the noises will be added and thus noise vector will be bigger-maybe two times- than single one..this is the worst case.. But if you multiply two i
I have a video which consists of the bird movements in the sky during night time and I would like to estimate the direction of the bird motion and for this purpose I am planning to implement the Motion Estimation Algorithms like Block Matching Algorithm and phase correlation Algorithm... Is this enough or should I try implementing any other algo
Sorry if I am oversimplifying the problem. But would the relation be dependent on the combining method? As an extreme example, if your each received signal could somehow be phase aligned independent of the other, then the attenuation can be minimsed, whatever be the phase between the two. -b
Hi all. I'm sure that if you have two independent complex signals at the receiver and you have to combine them, the larger the phase correlation between the two signal the more constructive (coherent) combining we will have. How can i relate the correlation coefficient of the signal phase to the combiner output (...)
If the transfer function contains allpass elements and/or delay units there will be no correlation between gain and phase response.
Concerning the phase shift between 2 signals, I'm not sure, in fact, that it may be evaluated automatically without any preliminary specified information. Moreover, both signals must be sinusoidal and have the same period. Then their phasze shift delta_phi may be estimated the following way: delta_phi = * 360 degrees, where (del
I want to simulate this paper:"RST Invariant Digital Image Watermarking Based on Log-Polar Mapping and phase correlation".but I have some question about the algorithm.could you help me please? Link to paper :
Where are the above sentences from? what are you trying to do? A minimum phase system (a all pass filter is normally one such) does do this to the signal. In time domain the correlation between the input and output may be reduces in "some" cases using an all pass filter. BRM
Good numbers for IQ imbalance at the receiver output are: a 0.2 dB amplitude imbalance and 1-deg. phase imbalance, resulting in a rejection of approximately 35dB. Rejections starting with 25dB (or better) could be corrected by the baseband processor. Receive IQ imbalance is affecting the EVM and there is a correlation between EVM and SNR. Dependin
Dear all In the phase noise measurement, there is a method called cross correlation that reduces phase detector noise and increases the accuarcy of measurement. I want to know How is the formula of X-correlation obtained. Thanks. rf2000
very fine ...then what we can define for IC 565 .. I mean phase locked loop....