Differential synchronous demodulation for small signal amplitude estimation

1993 ◽  
Vol 42 (5) ◽  
pp. 926-931 ◽  
Author(s):  
C.S. Koukourlis ◽  
V.K. Trigonidis ◽  
J.N. Sahalos
Keyword(s):  
Signal Amplitude ◽  
Small Signal ◽  
Amplitude Estimation

scholarly journals A Method of m-Point Sinusoidal Signal Amplitude Estimation

2016 ◽  
Vol 16 (5) ◽  
pp. 244-253
Author(s):  
Sergiusz Sienkowski
Keyword(s):  
Signal Amplitude ◽  
Original Method ◽  
Point Estimation ◽  
Sinusoidal Signal ◽  
Initial Signal ◽  
Amplitude Estimation ◽  
Starting Point ◽  
Special Cases ◽  
Point Estimator ◽  
Signal Period

Abstract The paper presents a new and original method of m-point estimation of sinusoidal signal amplitude. In this method, an m-point estimator is calculated on the basis of m initial signal samples. The way the estimator is constructed is explained. It is shown that the starting point for constructing the estimator is two initial signal samples. Next, in order to determine the estimator general form, three and m subsequent initial signal samples appearing in a signal period are used. Some special cases of an estimator are considered. Such an estimator is compared with a four-point estimator proposed by Vizireanu and Halunga. It is shown that the m-point estimator makes it possible to estimate the signal amplitude more accurately.

Bias in Amplitude Estimation of a Sine Signal with Known Frequency due to the Rounding Quantization Noise

2014 ◽  
Vol 667 ◽  
pp. 318-323
Author(s):  
Yuan Tian ◽  
Jie Luo
Keyword(s):  
Signal Amplitude ◽  
Quantization Noise ◽  
Amplitude Estimation ◽  
The Difference ◽  
Sine Signal ◽  
Period Of Oscillation

Based on properties of quantization, a method is proposed to derive the bias in amplitude estimation of a sine signal with known frequency due to quantization noise by the rounding quantizer. For a selected quantization unit, the bias oscillates and decays with the signal amplitude, and the period of oscillation is just the quantization unit. Different quantizers may contribute to different biases. A comparison with the bias due to the rounding-down quantizer shows that the difference between them depends on the signal amplitude, and it tends to be small as the signal amplitude increases, not monotonically. Therefore, by choosing appropriate quantizer and quantization unit, the bias in estimated amplitude due to quantization noise will be decreased.

scholarly journals Signal Amplitude Estimation and Detection From Unlabeled Binary Quantized Samples

2018 ◽  
Vol 66 (16) ◽  
pp. 4291-4303 ◽  
Author(s):  
Guanyu Wang ◽  
Jiang Zhu ◽  
Rick S. Blum ◽  
Peter Willett ◽  
Stefano Marano ◽  
...  
Keyword(s):  
Signal Amplitude ◽  
Amplitude Estimation

scholarly journals The analysis of signal amplitude estimation methods when determining parameters of power quality

2018 ◽  
pp. 225-229
Author(s):  
A. A. Lavrukhin ◽  
◽  
A. V. Kochekov ◽  
Yu. A. Bezrukov ◽  
L. A. Denisova ◽  
...  
Keyword(s):  
Power Quality ◽  
Signal Amplitude ◽  
Estimation Methods ◽  
Amplitude Estimation

The Effects of Variable-Interval and Fixed-Interval Signal Presentation Schedules on the Auditory Evoked Response

1969 ◽  
Vol 12 (1) ◽  
pp. 199-209 ◽  
Author(s):  
David A. Nelson ◽  
Frank M. Lassman ◽  
Richard L. Hoel
Keyword(s):  
Variable Interval ◽  
Tone Burst ◽  
Signal Amplitude ◽  
Fixed Interval ◽  
Interval Schedule ◽  
Sensation Level ◽  
Fixed Interval Schedule ◽  
Auditory Evoked Responses ◽  
Auditory Evoked Response ◽  
Signal Presentation

Averaged auditory evoked responses to 1000-Hz 20-msec tone bursts were obtained from normal-hearing adults under two different intersignal interval schedules: (1) a fixed-interval schedule with 2-sec intersignal intervals, and (2) a variable-interval schedule of intersignal intervals ranging randomly from 1.0 sec to 4.5 sec with a mean of 2 sec. Peak-to-peak amplitudes (N 1 — P 2 ) as well as latencies of components P 1 , N 1 , P 2 , and N 2 were compared under the two different conditions of intersignal interval. No consistent or significant differences between variable- and fixed-interval schedules were found in the averaged responses to signals of either 20 dB SL or 50 dB SL. Neither were there significant schedule differences when 35 or 70 epochs were averaged per response. There were, however, significant effects due to signal amplitude and to the number of epochs averaged per response. Response amplitude increased and response latency decreased with sensation level of the tone burst.

Unified small-signal-noise model for active microwave devices

1993 ◽  
Vol 140 (1) ◽  
pp. 55 ◽  
Author(s):  
Z.R. Hu ◽  
Z.M. Yang ◽  
V.F. Fusco ◽  
J.A.C. Stewart
Keyword(s):  
Noise Model ◽  
Microwave Devices ◽  
Small Signal ◽  
Signal Noise
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