AAFAA - Advances in Adaptive Filtering for Acoustic Applications
نویسنده
چکیده
One of the most studied areas for adaptive filtering is the one related to acoustic applications. Both the simplicity of the configuration and the immediate methods to evaluate the performance contributed to the popularity of this binomial pair: adaptive filtering and acoustic applications. Lately, a new step in acoustic application has been made, including the acoustic Multiple Input Multiple Output (MIMO) setups. In this context, we have to compute the inverse of very large matrices, we have to reduce (as much as possible) the echo, even during double-talk periods, and we have to do it with reduced costs. With such configurations, including also stereophonic systems, new approaches as the dichotomous coordinate descent (DCD) iterations were introduced. The objective of the special session Advances in Adaptive Filtering for Acoustic Applications is to identify novel forms of adaptive algorithms, designed for the new acoustic applications reality from the performance point of view, nevertheless efficient from the implementation complexity perspective. In other words, the four included papers present the theoretical models, the efficient implementation solutions and an example of real application. Keywords-adaptive filtering; acoustic applications; VR-RLS;
منابع مشابه
A Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms
In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...
متن کاملDelay Spoofing Reduction in GPS Navigation System based on Time and Transform Domain Adaptive Filtering
Due to widespread use of Global Positioning System (GPS) in different applications, the issue of GPS signal interference cancelation is becoming an increasing concern. One of the most important intentional interferences is spoofing signals. An effective interference (delay spoof) reduction method based on adaptive filtering is developed in this paper. The principle of method is using adaptive f...
متن کاملAn Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...
متن کاملAdaptive-Filtering-Based Algorithm for Impulsive Noise Cancellation from ECG Signal
Suppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filterin...
متن کاملSpeech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...
متن کامل