New answers tagged matlab
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What does really Time Chirp contribute to Range and Doppler estimation in FMCW radar signal?
What the code is trying to do is simply collect 128 FMCW returns off a moving target to form a range-Doppler map (RDM). The implementation and simulation eventually turns out sort of ok, but shows a ...
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Estimation of Amplitude, Frequency and Phase of Linear Combination of Harmonic Signal Beyond the Leakage Resolution of DFT
Actually, there is a paper that attempts to addresses your question: Super-Resolving a Frequency Band The techniques involved may help you.
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What does really Time Chirp contribute to Range and Doppler estimation in FMCW radar signal?
It looks like they transmit one long chirp signal, but subdivide the received signal into 128 segments before running the FFT-based algorithm.
The idea is that the target moves closer to the radar ...
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Why do DFT frequency buckets need to be divided by sample period?
I might be late to this question but the problem with frequency bins isn't about normalization. After your FFT, each frequency bin is calculated as
$$ f_k = \frac{k}{N} \cdot f_\mathrm{s} $$
where $f_\...
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How to interpret integer coefficients for a filter generated by Matlab
There is a lotta detail in the question.
I have done a hella lotta fixed-point DSP in my day. Both with a fixed-point DSP (56K) and with an integer CPU such as the 68K but also in generic C code. I ...
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Use DFT (`fft()`) to Replicate 2D Convolution (`conv()`)
You have a MATLAB Code as an answer in Replicate MATLAB's conv2() in Frequency Domain.
For discrete signals, the multiplication in frequency domain is equivalent of ...
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How does function c2d in MATLAB manage fractional delay?
The zero-order hold (ZOH) discretization is the same as the step-invariant method, which means that the step response of the discrete-time system equals the continuous-time step response at the sample ...
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Matlab: Different 1-D FFT results with and without zero-padded
The mean of signal $x$ is not zero. Try on the first line: $X=\texttt{fft}(x-\texttt{mean}(x))$.
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