Questions tagged [quantization]
Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation are typical examples of quantization processes.
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Is there any difference in Implementing sigma delta modulator using filters and state space model in FPGA?
Sigma delta modulation is extensively used in quantization to reduce quantization noise.
In the literature one can see different architecture for example python-deltasigma to implement a modulator. ...
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Signal to Quantization noise problem
a full scale signal of bandwidth 5 khz is sampled by an 10-bit ADC at a sampling rate of 2 Msa/sec
calculate the Signal to Quantization noise of the resulting DT signal
repeat for a 14-bit ADC at ...
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Novice question about mid-rise quantization
Accoarding to wikipage, the function for quantization has the ceiling of x/Ds.
Is this the ceiling of something multiplied by Ds?
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How good is the Leech lattice for AWGN coding or MSE quantization of Gaussian sources?
Anyone know where to find graphs showing how well it works vs other schemes? thanks
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Quantization step-size for a given signal based on its PDF
I am familiar with the principles of midtread and midrise quantizer. However, I have difficulties determining the step size where it hasn't been explicitly given. For example, the following ...
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Separability vs. Resolution - Synonymous terms?
In terms of discrete representation of a variable, let's say time measurements in absolute values in [seconds], is there a difference between separability and resolution? When do speak of either ...
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Differential Pulse Code Modulation (DPCM)
In the following figure we see an encoder and a decoder of a Delta Modulation System, which is a simple DPCM System with a 1-bit quantizer:
We assume that signal $x(n)$ is known, that $\hat{x}(-1)=0$ ...
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Optimal amplitude of an $m$-bit sinusoid
A continuous-time sinusoid of zero-to-peak real amplitude $A \le 2^{m-1}-0.5$ (e.g., for $m=16$, $A \le 32767.5$) is quantized to $m$-bit resolution by rounding it to the nearest integer (Fig. 1). ...
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Encoder: Quantization in Frequency Domain
The article, "Let’s build an MP3-decoder!" describes quantization noise in the time domain:
[masking] This property is very useful: not only can the nearby
masked signals be removed; the audible ...
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Precise 5th and 7th harmonics of a sampled sine wave
Does anyone know in decibels (to 1/100th of a dB) what the theoretical 3rd, 5th and 7th harmonic of a 0dB fs 24-bit (i.e. full-level; 0dB = -8,388,607 to 8,388,607) sampled sine wave without dither ...
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Retro Tiled Image Palettization Algorithm?
In most cases today, image palettization consists of reducing the overall number of colors in an image to some fixed number globally. This is typically solved as a straightforward but computationally ...
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JPEG compression steps after quantization
I have a 3-channel (for colours) a png image that I opened and
I splitted the image into 8x8 blocks
I applied all of the blocks discrete cosine transform
And then applied quantization
I stored the ...
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How to determine a quantization table for image compression with DCT?
The quantization table is given on the JPEG Wiki page. How was this table derived? I'm currently doing a project where I have to come up with custom quantization table for an image, but I don't know ...
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Why use a 1-bit ADC in a Sigma Delta Modulator?
When looking at the discrete model of a Sigma-Delta Modulator as shown below, we can see that the quantizer is modelled as a white-noise source $e[n]$. From this model, we can derive the noise shaping ...
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Why is distorted / quantized white noise still white noise?
White noise can be created by setting every sample in the time domain to a random number with a gaussian distribution. Every sample is random, so the frequency response is obviously random. Easy ...
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Quantization level versus bandwidth [closed]
Why is it that increasing the number of quantization levels $L$ results in an increase in the signal's bandwidth?
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THD requirement for generated sine
I need to generate a sine signal using a DAC with a certain THD specification, say 0.1% @ 1KHz. As a first approach I’m considering it to be an ideal DAC along with an ideal LPF for aliasing removal ...
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What distribution is the easiest to compress?
I'm currently playing around with some compression algorithms and I'm asking myself if there is a type of data distribution / noise distribution that is easier to target with quantization (meaning ...
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What is wrong with my 3D DCT quantization?
I'm implementing 3D DCT quantization as in Quantization of 3D-DCT Coefficients and Scan Order for Video Compression (sorry about the paywall). They propose the following equation for generating the ...
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Harmonics in Quantal Histogram
I'm studying what I believe to be a system that produces a (noisy) quantal response (i.e. there should be a minimum increment of response). To do this, I've plotted a histogram of some ~6000 amplitude ...
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What information does the abs(normalized_image - normalized_quantised_image) carry?
Given a grayscale image X2
And its (under)quantised version with 3 bits depth X3
What information does the abs(X2_normalized - X3_normalized) carry?As an example ...
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Quantization of Image which have taken from partially less dark
I have picture with high resolution with 20M memory space and this image has been taken from the standing away from the window in room which has significantly less light as compared to outside. Image ...
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Why harmonic components appear only after a certain level when a signal is clipped?
I recently observed this phenomenon that when a signal is clipped the harmonics start to appear only after a certain level.
The Python code to reproduce the effect is given below. The signal has 3 ...
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How much will a low/high pass filter reintroduce quantization noise into a dithered signal?
For example, most audio signals are dithered prior to distribution. However, if a low or high pass filter is introduced after dithering or during playback, won't that negate some of the benefits of ...
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Is the incoming sample in a standard DPCM already quantized?
I began learning about DPCM and i've got one issue I am not sure about:
Is the incoming sample m[k] (see image for reference) already quantizied or not? I think it is but with an (assumed) very fine ...
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Correct way to quantize accelerometer data with microsecond precision?
I am analyzing large volumes of raw accelerometer data (~12 hours @ 200Hz) using Python. Some calculations (e.g. deriving Jerk) necessitate a time index with a regular interval. I have microsecond-...
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Which type of quantization is better?
If a signal's amplitude has a uniform PDF, which is better in the sense of producing a smaller quantization error: optimal scalar quantization or quantization with compressor (non-uniform quantization)...
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Compute SQNR (Signal to Quantization Noise Ratio)
I'm studying the quantization of an audio signal and in particular the SQNR (Signal to Quantization Noise Ratio).
The book on which the study says that:
where:
N is the number of bits in the ...
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Modelling of quantization noise with logarithmic steps
I have to modell the quantization noise of ADC.
I only know that the maximum relative error is 1 dB.
Since this is logarithmic, I find it hard to formulate an appropriate model for the quantization ...
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Is it necessary to scale a signal for quantization noise analysis?
I am doing a series of tests to analyse the round-off (quantization) noise performance of single and two stage biquad cascades (direct form 1), at different sampling rates. The system I am simulating ...
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how to implement a one bit quantizer in simulink?
I am trying to implement a delta sigma modulator block diagram in matlab simulink but can't find a 1 bit quantizer (which is required in the modulator) anywhere . Could anyone please tell me how to go ...
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What is the no overload region of a quantizer?
I was watching a video on quantization noise and the instructor kept referring to the "no overload" region of a quantizer? Could anyone please explain what that term means?
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Is there any literature discussing PDF after quantization?
Consider a random variable with a known distribution. I want to know if we quantized the variable the how the probability density function(PDF) would change? Specifically if the original PDF is ...
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How to Reverse Color Quantization?
Are there any algorithms that attempt to perform the inverse of color quantization on an image? In other words, is there a smart way to increase the bit depth of image?
The obvious answer would be to ...
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Signal to Quantization Noise Ratio (SQNR)
I have this problem in my homework (following picture).
How do find the signal to quantization noise ratio at the output?
I don't want the solution. I just want to know a better approach to tackle ...
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why does quantisation noise sound like white noise?
To record sound and transform it to digital form, audio signals are recorded and its pressure levels are sampled and quantised.
Why does quantisation noise sound like white noise?
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A query on the non-uniform quantization
I have read that non-uniform quantization boosts the smaller amplitude signals by a large amount. However the larger amplitude signals receive a small gain. As shown in the below diagram (Compressor ...
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Difference Between Clustering and Quantization : Part 2
The Lloyd-Max quantizer is a scalar quantizer which can be seen as a special case
of a vector quantizer (VQ) designed with the Linde Buzo
Gray (LBG) algorithm.
In k-means clustering, we are given a ...
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Lloyd Max Quantization and Clustering : Part 1
The Lloyd-Max quantizer is a scalar quantizer which can be seen as a special case
of a vector quantizer (VQ) designed with the Linde Buzo
Gray (LBG) algorithm.
In k-means clustering, we are given a ...
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2answers
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DCT: Alternatives to quantization
When using the discrete cosine transform are there commonly used alternatives to quantization to decide which dct components to keep/are important? If not, how do people come up with quantization ...
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Proper rounding when converting between digitized values and floating point
I have some very large files that are unsigned 8 bit (0 to 255), real valued. I need to do some simple tuning and decimation. In the past, when I've dealt with low bit rate samples, I've run into ...
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Realize Simulink block “Ideal ADC Quantizer” in Matlab
Yesterday I posted following topic: "FFT alternates '0' for a quantized SIN wave".
During post editing I was perturbed by some affair, I didn't formulate correctly the problem. So, my post was blocked ...
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Does delta-sigma ADC also reduce Gaussian noise on input signal to ADC or just quantization noise?
The motive for posing this questions arises from a difference of analysis between a colleague an myself.
Our general environment is in the construction of an analog front-end which takes in signals ...
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For image quantization, is it necessary to sample image?
When we want to quantize an image, is it necessary to do sampling? When we know that image is a discrete signal, is it necessary to find the best samples with Nyquist rate?
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Quantization error in sampling
Consider the analog signal,
$$x(t) = 2\cos(3000\pi t)+3\sin(4000\pi t)+7\cos(6000\pi t)$$
If the sampling rate is 8000 samples per second and quantized at 8 bits, find:
Discrete values at any two ...
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Analog to digital conversion using Python
I'm a beginner. I try emulate analog signal conversion to digital (including sampling by time and quantizing by level) using Python. Here is my code:
...
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Filter output quantization - does this limit effective coefficient quantization?
I am implementing a filter in hardware, and the intended maximum data input is 16-bit. The question is, if the output is to be re-quantized to 16-bit, does this mean certain coefficients are ...
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Help using vector quantization
I have a sample signal, and I computed MFCC using this code.Now I have an array of 1225x12 size, where there are 12 coefficients for 1225 frames. Now I want to test another signal against this sample, ...
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Are time series data always contain noise?
I wonder if every time series data should contain noise or not. For example I am taking the price of a ticker, say Yahoo, every hour and noting the values. Does this data contains noise or not?
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Quantization SNR of bipolar signal
I want to estimate the SNR of a bipolar signal. I know that each bit increases the SNR at 6 dB. Do i have to subtract one bit for sign, so that for bipolar signals the SNR is (n-1) x 6 dB ?
