Signal-to-quantization-noise ratio

Known as: SQNR, Signal-to-quantization noise ratio 
Signal-to-Quantization-Noise Ratio (SQNR or SNqR) is widely used quality measure in analysing digitizing schemes such as PCM (pulse code modulation… (More)
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Topic mentions per year

Topic mentions per year

1991-2018
0102019912018

Papers overview

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2015
2015
Signals dealt in real world are mostly analog in nature and are needed to convert them in digital format before processing… (More)
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2012
2012
The design of a ternary successive approximation (TSAR) analog-to-digital converter (ADC) with quantization time information… (More)
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2010
2010
Compressed sensing (CS) is an emerging signal processing paradigm that enables the sub-Nyquist processing of sparse signals; i.e… (More)
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2010
2010
This paper presents the design and FPGA implementation of a 2nd order all-digital Adaptive Delta Sigma (¿∑) modulator… (More)
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2010
2010
Scaling the different stage outputs in an FFT appropriately is crucial for getting a good Signal to Quantization noise ratio… (More)
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2009
2009
Jerk monitoring, defined as the first derivative of acceleration, has become a major issue in computerized numeric controlled… (More)
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2007
2007
A well-known problem in sigma-delta (SigmaDelta) modulators is limit cycle oscillations, which can cause unwanted tones of… (More)
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2007
2007
Micromachined inertial sensors that have been incorporated in sigma-delta force-feedback loops have been proven to improve… (More)
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2007
2007
This paper presents a high-speed, low-complexity two data-path 128-point radix-2<sup>4</sup> FFT/IFFT processor for MB-OFDM… (More)
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2005
2005
Usually, sigma-delta modulators (/spl Sigma//spl Delta/M) are modeled by replacing the quantizer with an additive white noise… (More)
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