Noise Considerations The limiting factor in the resolution of an ADC is quantization noise (quantization error). Assuming that the quantization error is random it can be treated as white noise. The quantization noise power and RMS quantization voltage for an ADC is given by the equation: [4]...
With zero-forcing precoding, the energy efficiency of the user is derived after considering the power consumption on the system. Based on it, we jointly optimize the data power control and the quantization noise power that maximizes the energy efficiency, through an alternative process. Simulations ...
This equation gives us the quantization noise power when the noise signal is uniformly distributed between ±LSB/2. As you can see, increasing the resolution of the quantizer will reduce the LSB and the noise power. Note that this equation is consistent with the RMS value th...
so that thequantizing noisepower is reduced and the detection capability is enhanced.在该体制下,需要用衰减器与移相器处理参考信号,使之在采样前与接收天线接收到的直达信号进行对消,以减小量化噪声提高系统的探测能力。
将“quantization noise"翻译成西班牙文 distorsión de cuantificación, ruido de cuantificación是“quantization noise"到 西班牙文 的最佳翻译。 译文示例:Also, quantization noise can be "hidden" where they would be masked by more prominent sounds. ↔ También, la cuantificación del ruido ...
Hello there! I have been trying to plot the PSD of quantization noise produced from a MASH ( cascaded SD modulators) using the pspect() function of Scilab...
with a slightly different initial phase. The quantization errors do not repeat. You will see the same total quantization noise power either way, but with an offset source frequency, the quantization error power spreads out into a flat carpet of noise, rather than aggregating into bothersome peaks...
A TDC supply voltage control loop including the second TDC is used to control the TDC power supply voltage (AVdd) so as to remove spurs stemming from high frequency quantization noise, from the output of the second TDC, and thus of the first TDC as well.Charpentier Sebastien...
Quantization introduces various sources of error in your algorithm, such as rounding errors, underflow or overflow, computational noise, and limit cycles. This results in numerical differences between the ideal system behavior and the computed numerical behavior. To manage the effects of quantization, ...
In this case, the quantizing interval, or step, Δv is constant, and the quantizing noise power is given by Nq=(Δv)2/12 assuming that the quantization noise is uniformly distributed between ±Δv/2. Assuming that the amplitudes of the samples are uniformly distributed, the signal power re...