Dynamic description of stochastic signal by adaptive momentary power and momentary frequency estimation and its application in analysis of biological signals

1994 ◽  
Vol 32 (6) ◽  
pp. 632-637 ◽  
Author(s):  
G. Grieszbach ◽  
B. Schack ◽  
P. Putsche ◽  
E. Bareshova ◽  
J. Bolten
Keyword(s):  
Frequency Estimation ◽  
Stochastic Signal ◽  
Biological Signals ◽  
Dynamic Description ◽  
Momentary Frequency

Off-Grid Frequency Estimation with Random Measurements

2017 ◽  
Vol E100.A (11) ◽  
pp. 2493-2497
Author(s):  
Xushan CHEN ◽  
Jibin YANG ◽  
Meng SUN ◽  
Jianfeng LI
Keyword(s):  
Frequency Estimation ◽  
Random Measurements

Improvement of Jain’s algorithm for frequency estimation

2020 ◽  
Vol 65 (1) ◽  
pp. 115-122
Author(s):  
Andrea Amalia Minda
Keyword(s):  
Frequency Estimation ◽  
The Real ◽  
Real Frequency

In this paper we propose a procedure to correct Jain's algorithm, which in certain situations fails in correctly estimating the frequency by indicating frequency values that are very far from the real frequency. It happens because the two points considered for the method proposed by Jain are not on the same lobe. Thus, a method is proposed according to which these points are chosen so that the results are improved.

FFT-Based Moving Average Maximum Likelihood Single-tone Frequency Estimation

2011 ◽  
Vol 30 (4) ◽  
pp. 831-835
Author(s):  
Yu-chun Huang ◽  
Zai-lu Huang ◽  
Ben-xiong Huang ◽  
Shu-hua Xu
Keyword(s):  
Maximum Likelihood ◽  
Frequency Estimation ◽  
Moving Average ◽  
Tone Frequency ◽  
Single Tone ◽  
Average Maximum
Sign in / Sign up

Export Citation Format

Share Document