Examples of 'quantization noise' in a sentence
Meaning of "quantization noise"
Quantization noise: In digital signal processing, quantization noise refers to errors or distortion introduced when analog signals are converted into digital signals by approximating the continuous values into a finite number of discrete levels
How to use "quantization noise" in a sentence
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Advanced
quantization noise
This is called quantization noise shaping through integration.
This also depends on the image quantization noise.
Reduction of quantization noise in recursive digital filters using error feedback.
This is frequently referred to as quantization noise.
Shaped quantization noise can be modeled as white noise filtered by a differentiating filter.
Clock jitter translates to quantization noise.
This quantization noise features an almost uniform level across time within each frame.
Modeling of quantization noise.
These blocks usually become the blocks subjected to quantization noise.
Companding system and method to reduce quantization noise using advanced spectral extension.
Representations with a lower accuracy have a higher level of quantization noise.
In the synthesis transform the resulting quantization noise is shaped by the synthesis window.
This independent noise includes dark current noise and quantization noise.
Companding apparatus and method to reduce quantization noise using advanced spectral extension.
This operation makes it possible to produce a good frequency distribution of the quantization noise.
See also
This processing effectively renders the quantization noise less audible during quiet passages.
These remaining bits then can be used to refine the quantization noise.
Speech and audio coding introduces quantization noise that impairs the quality of the reconstructed speech.
The output samples comprise the input signal and the quantization noise.
The convolution will smear the quantization noise spectrum more widely in frequency for longer intervals.
Mean squared error is also called the quantization noise power.
The quantization noise around DC is pushed toward higher frequency.
Different types of noise shaping of the quantization noise may be applied.
Quantization noise shaping is implemented by the TDC to achieve highly precise time measurement results.
The problems is further compounded by the interaction of quantization noise on the prediction process.
Also, undesired quantization noise of the feedback signal should be avoided.
That way we minimize the quantization error and therefore reduce the quantization noise.
This ordering can reduce leakage of audible quantization noise across channels upon reconstruction.
The smaller the integration constant P then the lower the quantization noise.
Electronic and quantization noise enters as Qxk.
Without dither, the dynamic range correlates to the quantization noise floor.
JNRa is the allowed ADC quantization noise to thermal noise ratio B is the sample rate.
Low signal level digital errors produce distortions such as quantization noise and resolution loss.
Due to the quantization, quantization noise is superposed to the reconstructed video signal.
The spectral components are quantized and coded keeping the quantization noise below the masked threshold.
This quantization noise at the output signal results from the analog-digital conversion.
Using the high accuracy TDC in a DPLL reduces quantization noise and the need for filtering.
The so called quantization noise generated in this process is then rejected by a band-pass filter.
Figure 8 shows the corresponding quantization noise spectrum.
The quantization noise as an RMS value is given by, EPMATHMARKEREP.
The coder leads to an infinite attenuation on the quantization noise at frequency 0.
This reduces unmasking of quantization noise across channels after the inverse multi-channel transform.
Indeed, such a filter makes it possible to filter the quantization noise effectively.
In this instance, the quantization noise is filtered in this way.
Now, the required word length is determined by the permissible quantization noise.
Moving the zeros creates a notch in quantization noise which improves signal-to-noise ratio.
Mixing these may require a re-quantization which may in fact reduce quantization noise.
Figure 8 is a graph showing the quantization noise spectrum for the signal shown in Figure 7.
The more levels a quantizer uses, the lower is its quantization noise power.
Hence, the pre-tra nsient quantization noise is limited to a sub-subframe period.
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