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29 Threads found on edaboard.com: Dft Calculation
Just for my own cultural background i enterprised to learn a little bit about the fourier series and how it lead to the dft .. I also wanted to undertsand how Fourier came up with the cornerstone general theorem that all functions can be aproximated by a fourier series my suprise i found that fourier only generalised the Theoreme .which was alr
Hi all, Can anyone help me comment on the below code and explain how the function works.I am not sure how this function works and why is there a mid value in the calculation? Thanks a lot! regards
Categorize your size into Random Logic Area + MEM Area. You can get the area report from synthesis tool, usually it's based on um^2. (Based on the library you are targeting). The chip area will be (RLA/cell utilization + MEM Area) * (1+dft overhead)
hi, friends: i know that dft is a approximation of the CFT or DTFT,. but i cannot have direct connection between some other meanings and dft process, such as every dft bin is bandpass filter, and dft processing gain and so on. is there anybody who understanding dft well can explain it deeply. thanks!
Hello, you can calculate the S21 parameter by taking either fast fourier transform (FFT) or descrete fourier transform(dft) of the E field at port two and the incident field at port one and use the resulting frequency domain transform of the incident field to divide the transform of the E-field at port two. Regards
Hello Why FFT is faster than dft? Regards, N.Muralidhara
What device are you talking about? Amplifier, ADC, DAC... in general, you just divide the output by the full-scale (normalize to the full-scale) before taking the dft so that it corresponds to /=1->0dBFS
Hello, Im student of 2 year of electronics from Poland. Once I was sitting and waiting on a corridor, and my tutor come to me and chat a while. Finally he gave me a task to think through. After few hours of intense thinking I started to bang my head over the wall. Friend of mine recomended me that forum. Maybe you have some idea? ---------------
I tried to read the lecture note or lecture video on youtube but it's hard to understand. there are a lot of mathematics but no concept what they are doing and how they work. Anyone please explain to me the concept of it. What are dft/FFT doing and how they work? or suggest me the source that is easy to understand about this please. Thank you so mu
RAKESH E.R, you may see dft Compiler documentation. Tcl is needed for dft insertion script development.
Hey I am a Btech fresher.. just joined as dft engineer ... Can anyone provide a link to some good ebook with which I can get started.. Thanks
Hello all, I am not able to get the correct amplitude of input signal from dft. My sampling frequency is 128Hz and I am take 128 Samples and computing 128-point FFT. I also have a simulated sine wave generator which I am using as input. When I vary the input frequency, FFT detects the frequency correctly till 64Hz (i.e. Fs/2) but it g
Spectre's pss is not needed. Simply do transient and dft(fft is not used in calculator). Then take the difference of the harmonics. But that is not the true story if you apply the phase shifter signal to a mixer input. Then also the harmonis contribute to the phase performance. To get the real performance you have to setup a phase shifter plus a
Hi, Littlindian: I am sorry not to be able to respond to you earlier because I had been on vocation. Theoretically, you can get the t-domain near field and do a dft for the f-domain near field. However, it wil involve too much data. For the current situation, we normally suggest users to save about 10-50 frames of t-domain near field. If you want t
ok i am assuming that you are totally new to dsp and as such those two answers that you have already received probably mean nothing to you. Anyway the only relation that there is between autocorrelation and the fourier transfrom is actually the similarity between the dft (discrete fourier transform) and auto correlation i.e. if you are learning DSP
The only transform which we may calculate using our PC or any other machine isdft All the other transforms are theoretical Because the Limits are from -Inf to +Inf Where as the limits in dft are real Numbers so we calculate only dft, Practically. FFT is nothing but a Optimized technique for calculation of (...)
Though the FFT calculation is discrete, tools can automatically plot by connecting the top with a smooth curve of the magnitude plot against frequency. So it depends sometimes on the tools setting. To say SIMPLY FFT or dft is a sampled version of continusous spectrum. So I dont think the author faked or something like that. I hope I answered your q
what technique for fast and accurate noise analysis of full PLL can we use dft plot
Hello! The extensive explanation would be quite some pain, and on top of that, the explanation exists in books and also probably on wikipedia, but let's make it simple. Let's say that it simply comes from the way the dft is simplified in order to reduce the calculations: Suppose you have a number N of samples x(k) (N being a power of 2, 0<
Hi all, I am using an example from Hspice manual to study how to simulate a phase shift register. In the given example, Hspice is using G-element to model the phase shift register. According to the manual, it is using circular convolution to calculate the output response of the G-element. The netlist from the manual is as following: .tran 0
I don't know spectrum() function in DFII 5.1.41. But it seems that there is no difference between spectrum() function and dft() function. By the way, new waveform viewer, ViVA provide function sets for evaluation of ADC. The Designer's Guide Community Forum - snr of adc calcu
Hi all, I am trying to do post place and route simulation using Modelsim XE with ISE 11. My code is a Discrete fourier transform implementation which contains three 1024 bytes dual port memories, and other logic for calculation of dft. When I run a post route simulation it takes 1 hour to simulate few hundreds of nano seconds, why is it happen
Hi Jeet_rio, Assume you have N samples at regular intervals T. If you obtain their dft, the separation in frequency between bins is 1/(NT). For example: suppose you have N=256 samples taken at intervals of T=10 seconds. The total duration of the register is NT=2560 seconds. The interval between bins is the inverse of that, i.e. 1/2560 Hz. So
dtft -- given all points, determine a spectrum. dft -- given a set of points, determine the same number of points from the spectrum. fft -- same. the fft is just any fast calculation method. FFT is often used interchangeably with "dft" as a term. There are two immediate implications above. The first is that the dft/FFT (...)
linear convolution and circular convolution can be easily calculated in matlab and other math packages similarly FFT and IFFT . convolution of two Sequences in time domain is Equal to multiplication of their Fourier transform Generally in the case of filtering The input signal is transformed into the frequency domain using
As you might know already, in Cadence Spectre, we can plot the spectrum of a signal (say, output of an amplifier) using "dft" function of the Calculator.Don't mix up Simulation with Post Processing. They are completely different phase. It is an issue of Cadence Post Processing Environmen
Hi, U have to go through, to how to measure controllability and observability. As this measurement is totally depend on the Gate (AND,OR,NOT,NAND etc). There is some calculation for combinational as well as sequential for measuring controllability and observability. Than is given in the book named : VLSI test principles
Hi, I am trying to use the FFT library in mikroC to calculate the frequency of input signal. The code gets complied but I am getting wrong and random results. The calculated freq does not match the input simulated sine wave. Following are the details of my code - Sampling freq = 1KHz Signed Fractional Data Output from ADC. Sampling done using
1) I dont think any way to see the controllability and observability for the whole design.But we have a option like set_pindata in the TetraMAX through which we can get the controllability and observability. 2) Inputs of tetraMAX are correct. 3) Pl tell me the meaning of Simulation and Fault Simulation. 4) Have you a TetraMAX UG?thn u can get all t