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Now showing items 1-10 of 17
The time-frequency approach: Essence and terminology
(
Elsevier Inc.
, 2015 , Book chapter)
[No abstract available]
Getting started with a practical and efficient time-frequency toolbox tfsap-7.0
(
Elsevier Inc.
, 2015 , Book chapter)
[No abstract available]
Heuristic formulation of time-frequency distributions
(
Elsevier Inc.
, 2015 , Book chapter)
[No abstract available]
Time-frequency methods in communications
(
Elsevier Inc.
, 2016 , Book chapter)
The wide range of potential applications of time-frequency (t,f) methods made them an important tool in most fields of science and engineering. Telecommunications is one of the key industries where (t,f) methods started ...
Advanced implementation and realization of TFDs
(
Elsevier Inc.
, 2016 , Book chapter)
The design of efficient algorithms is the key to effective utilization of the properties of time-frequency distributions (TFDs) for real-life applications. This chapter presents the needed procedures, techniques, and ...
Time-frequency methods in radar, sonar, and acoustics
(
Elsevier Inc.
, 2016 , Book chapter)
The fields of radar and sonar are traditionally key application areas and testing grounds for advances in signal processing, including time-frequency (t,f) methodologies; their significance is demonstrated in seven ...
Advanced time-frequency signal and system analysis
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter extends Part I by presenting additional advanced key principles underlying the use of time-frequency (t,f) methods. The topic is covered in 11 focused sections.
Section 4.1 describes the relationships between ...
Measures, performance assessment, and enhancement of TFDs
(
Elsevier Inc.
, 2016 , Book chapter)
This chapter describes a number of time-frequency (t,f) performance quality measures specifically developed as criteria for performance enhancement for a given application. The adopted performance measures are defined using ...
Instantaneous frequency estimation and localization
(
Elsevier Inc.
, 2016 , Book chapter)
In many applications, a critical feature of a non-stationary signal is provided by its instantaneous frequency (IF), which accounts for the signal spectral variations as a function of time. This chapter presents methods ...
Detection, classification, and estimation in the (t, f ) domain
(
Elsevier Inc.
, 2016 , Book chapter)
Several studies involving real-life applications have shown that methods for the detection, estimation, and classification of nonstationary signals can be enhanced by utilizing the time-frequency ((t,f)) characteristics ...