scholarly journals Statistical analysis of instantaneous frequency scaling factor as derived from optical disdrometer measurements at K/Q bands

2016 ◽  
Author(s):  
Michael Zemba ◽  
James Nessel ◽  
Jacquelynne Houts ◽  
Lorenzo Luini ◽  
Carlo Riva
Keyword(s):  
Statistical Analysis ◽  
Instantaneous Frequency ◽  
Scaling Factor ◽  
Frequency Scaling

Instantaneous frequency scaling ratio statistics for scintillation during rain

2000 ◽  
Vol 36 (16) ◽  
pp. 1424 ◽  
Author(s):  
D. Mertens ◽  
D. Vanhoenacker-Janvier
Keyword(s):  
Instantaneous Frequency ◽  
Frequency Scaling

On: “Thin‐layer response and spectral bandwidth” by N. de Voogd and H. den Rooijen (GEOPHYSICS, 48, 12–18).

Geophysics ◽  
1985 ◽  
Vol 50 (1) ◽  
pp. 167-167
Author(s):  
J. G. Saha
Keyword(s):  
Thin Layer ◽  
Scaling Factor ◽  
Spectral Bandwidth ◽  
Frequency Scaling ◽  
Zero Phase ◽  
Frequency Axis

In their paper de Voogd and den Rooijen investigated the effects of spectral bandwidths of zero‐phase signals on interface resolution and also the response of a thin layer when the bandwidth is inadequate. They suggested a type of wavelet manipulation in modeling experiments by a simple frequency scaling and a shift [equation (19)] [Formula: see text] where p is the scaling factor and s is the shift along the frequency axis. The increase in spectral bandwidth which results from this transformation was also derived by the authors in equation (20).

scholarly journals A statistical analysis of two classes of time-frequency representations

2003 ◽  
Vol 16 (1) ◽  
pp. 115-126 ◽  
Author(s):  
Alexandru Isar ◽  
Dorina Isar ◽  
Mirela Bianu
Keyword(s):  
Statistical Analysis ◽  
Discrete Time ◽  
Instantaneous Frequency ◽  
Continuous Linear ◽  
Time Frequency ◽  
Stationary Signals ◽  
Theoretical Results

The aim of this paper is to present a statistical analysis of the continuous linear and bilinear time-frequency representations. Such an analysis can be useful for the estimation of different parameters of not stationary signals corrupted by noise, like the instantaneous frequency or the instantaneous bandwidth. The case of discrete time-frequency representations is also considered. Simulations verify the theoretical results obtained.

On the Spectral Subtraction of Water from the FT-IR Spectra of Aqueous Solutions of Proteins

1989 ◽  
Vol 43 (3) ◽  
pp. 538-542 ◽  
Author(s):  
Françoise Dousseau ◽  
Marie Therrien ◽  
Michel Pézolet
Keyword(s):  
Statistical Analysis ◽  
Aqueous Solutions ◽  
Infrared Spectra ◽  
Protein Concentration ◽  
Scaling Factor ◽  
Spectral Subtraction ◽  
Interactive Methods ◽  
Least Squares Fit ◽  
Ft Ir ◽  
Small Baseline

A method is described for the quantitative subtraction of water from the transmission infrared spectra of aqueous solutions of proteins. The 2125-cm−1 association band of water is used as an internal intensity standard, and the scaling factor is determined with the use of a second-order least-squares fit. This method eliminates the user bias encountered with interactive methods and takes into account small baseline variations due to instrument drift. Statistical analysis of the results obtained demonstrates that at 10% w/w protein concentration, the error is of the order of 2% in the region of the amide I and II bands.

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