Questions tagged [downsampling]
In signal processing, downsampling (or "subsampling") is the process of reducing the sampling rate of a signal.
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What is the right way to downsample using Fourier method?
I want to know what is the right way to downsample a sampled signal using Fourier transform as the implementation in scipy.signal.resample confuses me.
Reading ...
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203 views
What is the impulse response used in an interpolation filter when upsampling?
I need to downsample a single period waveform from $M$ samples to $L$ samples. If that matters, in my particular case, $L=M-1$.
I read about downsampling and came to the conclusion I need:
expand ...
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22 views
Nyquist sampling theorem / Nyquist - Shannon theorem evaluation over M-PSK
I am trying to simulate an M-PSK Tx-Rx System on Simulink and analyse what the effect of sampling rate reduction would have on it. More, particular I am trying to prove what Nyquist sampling theorem ...
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How to Downsample The Chrominance Components
So I am doing an image compression project for college and am trying to create a visual demonstration of how downsampling chrominance components can reduce the amount of digital information while ...
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downsample signal to a specific number of samples in Python
The Python Scipy library provides several functions to downsample signals, but they all have limitations:
The resample function is based on Fourier method, which means it assumes periodic signals.
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Downsample: resample vs antialias fitlering + decimation
I have a discrete signal sampled @Fs. I need to downsample it to Fs/k. Main reason is to reduce signal bandwidth and speed up computation : I'm only interested in a reduced bandwidth < Fs/2k. Some ...
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1answer
50 views
Improving spectral response with lost downsampled data
I have a project that is resource constrained and must maintain a specific FFT length and small FFT bin width, down at baseband. My sampling rate is very high and needs to be downsampled to anywhere ...
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33 views
How to downsample my data readings from 0.5hz to 0.001667hz. Do I filter and downsample?
I have a device that, in the lab, takes voltage readings every 2 seconds. However in real-life application the device would only wake every 10 minutes and then take a 100 readings whilst awake. How do ...
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1answer
13 views
Clarification regarding discrete wavelet transform
One of the books on "Conceptual Wavelets" by Fugal explains some major differences between the undecimated discrete wavelet transform (UDWT) vs. discrete wavelet transform (DWT). In UDWT the scale of ...
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42 views
Analog-to-Information Converters?
In Analog-to-Digital Converters(ADC), the signal is first sampled at a rate higher than or equal to the Nyquist, then quantized and encoded. In Analog-to-Informations (AIC), the sampling and ...
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1answer
47 views
FFT of white noise with different sampling rate
I have a question on how I should interpret the white noise power level (noise floor) obtain from FFT for different hardware sampling rates. I realized if I sample the same noise at different rates (...
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Bandpass Experiment: Weird graph! amplitude mismatch?
Why is this generic BP filter seem to magnifying amplitudes when I run it at lower sample rates? The bass range seems to 32 times louder at 1275 Hz (44.1 kHz / 32) than at 44.1kHz?
Here is a graph of ...
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RSP1A sample rate vs if bandwidth
I'm using the RSP1A SDR and I want to understand how to choose the best configuration for receiving a signal of 125 khz bandwidth.
I would like to know if when choosing the option 200 KHz IF ...
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1answer
69 views
How to prevent distortion after down-sampling?
I am new to audio signal processing, but in one of my machine learning projects that I am working on, I need to down-sample my audio somewhere in the middle of my neural network. Therefore, I need a ...
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1answer
57 views
Better understanding of downsampling (decimation) and upsampling (interpolation)
Although some questions were asked about this topic, I have not seen any that answers all the basic questions, that is why I took the liberty to ask more about this.
I suggest to limit, (or at lest ...
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1answer
31 views
Polyphase components Spectrum formula in Discrete time
I am trying to understand the meaning behind some of the components of the formula for polyphase components in discrete time. Note that $\Omega$ indicates discrete in this notation and the formula is ...
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1answer
38 views
How to sketch this multirate system spectrum?
In the following system:
The signal x(n) is upsampled by 2 and then filtered. The signal and the filter have the following spectrum:
After upsampling the spectrum of X would look the same except ...
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Image downsampling with Haar DWT?
How can the resolution of an image in matlab be reduced by using 2D haar wavelet by downsampling-decimation? Is there any predefined code or tool within wavemenu? thanks in advance
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1answer
176 views
Why does downsampling stretch a signals frequency response and upsampling shrink and create images of a signals frequency response?
I am learning some basic DSP and I have a pretty good intuition as to why sampling creates spectral images of the frequency response at intervals of the sampling frequency (convolution with pulse ...
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330 views
Synchronization and downsampling after matched filtering - GNURadio polyphase clock sync
I am trying to model a QPSK transmission. For this, I am using the software GnuRadio and more specifically the block polyphase clock sync. This block performs timing synchronization for PAM signals by ...
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1answer
70 views
ADC way faster than microcontroller
I am getting into signal processing, and am working on a project.
My analog-to-digital converter has a sample rate of 10 kHz, whereas my microcontroller can only handle up to 3 kHz.
What does that ...
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37 views
Filter design for decimation of 1.1 kHz sensor sample rate to 100 Hz processing rate
Suppose, you have a signal source which is sampled by 1100 Hz and is "somehow" band limited to either 235 or 440 Hz. In my application, that's the ST IIS3DHHC accelerometer. There is an appnote for ...
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128 views
Decimation vs Mean in downsampling operation
Let's suppose I have a discrete signal $x[n]$ with a certain frequency $f_x$.
Now, due to various unimportant reason, I want to obtain a new signal $y[m]$ with a new frequency $f_y = \frac{f_x}{k}$, ...
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Aliasing from downsampling and Nyquist
In a book Conceptual Wavelets in Digital Signal Processing by Lee Fugal 2009 on page 246 the author talks about aliasing present in DWT subbands due to downsampling by 2 and states:
Recall from DSP ...
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99 views
Upsampling and downsampling signals as a preprocessing step for a neural network
I have audio data acquired from a 4 channels sensors array.
As a preprocessing step for a neural network, I want to beamform and focus on the sound source. For higher resolution in the beamforming ...
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Why do I have to scale filter coefficients during bandlimited sample rate conversion?
I am writing an example for how to perform sample rate conversion using windowed sinc and polyphase filters.
Here is the C++ code as a github gist.
So far, this works, and I think I have understood ...
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1answer
103 views
Down sampling an EEG signal
I have a set of 10 minute EEG signals that were sampled at 400 Hz and have 16 channels which corresponds to a 16x240000 matrix. These EEG signals belong to two different classes. I am trying to ...
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1answer
33 views
Differences in moving window rms due to sampling rate
I have a 10 second recorded signal band pass filtered from 100-500 Hz. The original sampling rate is 10 kS. Now I run a moving window RMS with a window length: 10 ms on the signal (10/1000 * sampling ...
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1answer
64 views
Understanding sampling rate conversion
I am a little bit confused about the concept of sampling rate conversion. Consider the following question:
Wideband telephony signals are sampled at a sampling frequency fS1 = 16kHz. To process these ...
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73 views
How to calculate the variance of noise when an image is downsampled?
I have a noisy image for which I know the noise variance. (Basically I created noisy image by adding noise). Now, I'm downsampling this noisy image. How does the noise variance change? Is it possible ...
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1answer
43 views
Reversing the order of up and downsampling
When we are dealing with the problem of changing the sampling rate by a noninteger factor like L/M, we first need to the do the upsampling, and then the downsampling.
My question is that under which ...
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75 views
Why is my resampled signal cutoff when resampling with a windowed FIR filter in MATLAB?
I have an exercise to write a function which upsamples or downsamples a signal by a factor of F (integer) using a FIR filter windowed with a Kaiser window function. Exercise I had last week included ...
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What are the differences between Gaussian down-sampling and bicubic down-sampling in Matlab? Which is more accurate for simulating low resolution?
I see in some of the technical papers, good practice for downsampling is to first pass the image through a Gaussian Filter and then take sampling to avoid problems like aliasing and so on.
However, ...
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110 views
Follow up question regarding: “Complex sampling can break Nyquist?”
I'm having some trouble understanding the sample rate limitations when considering a complex baseband signal.
I understand (based on the linked SE questions below), the either (1) physically ...
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1answer
1k views
Scipy resample, “fourier method” explanation
I am seeking explanation of what "Fourier method" is that is described for resampling in documentation of resample() method. I want to downsample an array. I know what decimation is and how it works, ...
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1answer
218 views
How good or bad my downsampled data is?
Suppose I have time series data at a one-minute resolution. Now I downsample data by taking mean of every 10-minute window, i.e., after downsampling, 60 readings will reduce to 6 readings. How should ...
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Why should an image be blurred using a Gaussian Kernel before downsampling?
I recently read that before downsampling an image, it should be blurred using a Gaussian Kernel. This way, the downsampled image is better than just picking a single pixel out of a NxN block or ...
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How to determine the original size of the FFT used in unknown OFDM symbol
Given an unknown OFDM symbol consisting of 9144 samples, interested to know the size of the FFT used in the TX/Number of bins.
Down-sampling to 512,256,128,64,32 yields the following.
Do not see how ...
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1answer
297 views
Convert 96 Khz to 48 Khz audio: is this simple downsampling method ok?
I have an audio signal x sampled at 96 Khz. I have already lowpassed it with a cutoff somewhere between 20 Khz and 22 Khz, so there should be nothing left of ...
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1answer
444 views
Downsampling impact on complex phase
For my application, I have to downsample a bandpass complex signal which spectrum is located on the second Nyquist zone.
Knowing that this processing will cause a spectrum inversion, what would be ...
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2answers
712 views
Properties of Up- and Downsampling
Given a gaussian white noise with mean 0 and $\sigma = 1$.
I'm interested in the PSD (power spectral density), when the signal is plain up- or downsampled. No interpolation, no filtering nothing.
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2answers
71 views
Level Correction For Digital Down-Convertion?
I am trying to understand a subtle (sorry if this is obvious) difference in the computed output power after a DDC process. Here is the story:
Suppose I generated a 10 MHz signal from a microwave ...
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How can I extract the 2 polyphase components of a signal after sampling at the half of sampling rate
Suppose I have a continuous signal x(t), which was sampled using sampling function s(t) whose sampling rate is Ts.How can I sample the continuous signal by Ts/2 instead of Ts in order to get two ...
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344 views
Are oversampling and downsampling the same thing?
According the books I have on DSP,
is oversampling, sampling a signal at a much higher samplingrate then normally required, so to reduce the sample-rate (and increase the resolution of the signal) ...
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Can we sample the signal with any period as long as the Nyquist rate is respected
I have a question regarding the sampling rate. Suppose that we transmitted a signal $m(t)$ then at receiver side, we received the continuous signal $x(t)$, which is time varying and sampled with a ...
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2answers
269 views
How can I synchronize signal from an LED and TTL pulses better?
I would like to synchronize my video and voltage data using Python.
I sent $150\text{ ms}$ long TTL pulses to a computer recording the voltage data, at the same time as to an LED in the field of view ...
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436 views
Decreasing Sample Rate in DFT (FFT) for Audio Analysis
I'm working with audio data analysis through FFT algorithm.
My example audio is a sine wave at 440 Hz and 44100 Hz sampling rate.
FFT methods in programming, like ...
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470 views
Downsampling from 100Hz to 60 Hz
I have two sensors measuring a single time varying signal . The first sensor (reference sensor) is sampling the data at 60 Hz and the second sensor (test sensor) is sampling the data at 60 Hz. I ...
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1answer
149 views
Downsampling in MATLAB - why scaling filter coefficients?
Trying to undertsand how MATLAB does resampling, looking at toolbox/signal/resample.m.
This is the part where (downsampling) filter coefficients are calculated:
<...
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1answer
57 views
Most natural interpolation to simulate increasing distance?
Background: I'm generating multiple datasets with varying scales of resolution to simulate taking pictures from varying distances and then comparing image classification performances. For example ...
