Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals
This article aims to carry out a comparative study between discrete-time and discrete-frequency Kalman filters. In order to assess the performance of both methods for speech reconstruction, we measured the output segmental signal-to-noise ratio and the Itakura-Saito distance provided by each algorit...
Saved in:
Main Authors: | Leandro Aureliano da Silva, Gilberto Arantes Carrijo, Eduardo Silva Vasconcelos, Roberto Duarte Campos, Cleiton Silvano Goulart, Rodrigo Pinto Lemos |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/1895190 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays
by: Dongyan Chen, et al.
Published: (2015-01-01) -
An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters
by: Yue Wang, et al.
Published: (2017-01-01) -
Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing
by: Theresa Kruse, et al.
Published: (2025-01-01) -
Using Kalman Filters to Reduce Noise from RFID Location System
by: Pedro Henriques Abreu, et al.
Published: (2014-01-01) -
Detection of Intermittent Fault for Discrete-Time Systems with Output Dead-Zone: A Variant Tobit Kalman Filtering Approach
by: Jie Huang, et al.
Published: (2017-01-01)