Name
Abstract | ||
|---|---|---|
The estimation of the parameters of a dynamic signal, such as a sine wave, based on quantized data is customarily performed using the least-square estimator (LSE), such as the sine fit. However, the characteristics of the experiments and the measurement setup hardly satisfy the requirements ensuring the LSE to be optimal in the minimum mean-square-error sense. This occurs if the input signal is ch... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIM.2016.2627298 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Quantization (signal),Noise measurement,Standards,Signal to noise ratio,Maximum likelihood estimation,Random variables | Random variable,Noise measurement,Signal-to-noise ratio,Electronic engineering,Estimation theory,Quantization (signal processing),Probability density function,Sine wave,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
66 | 2 | 0018-9456 |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Carbone | 1 | 192 | 45.32 |
| Johan Schoukens | 2 | 376 | 58.12 |
| Antonio Moschitta | 3 | 236 | 35.04 |