Speech and Audio Signal Applications

Basic Principles ◽

This chapter reviews the basic principles of multirate adaptive filters together with some of their most successful applications, as well as some recently proposed schemes that improve the subband adaptive signal processing systems.

Synchronization and sampling in wireless adaptive signal processing systems

Periodica Polytechnica Electrical Engineering ◽

10.3311/pp.ee.2010-1-2.06 ◽

2010 ◽

Vol 54 (1-2) ◽

pp. 59

Author(s):

György Orosz ◽

László Sujbert ◽

Gábor Péceli

Keyword(s):

Signal Processing ◽

6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC) ◽

Reconfigurable streaming processor core with interconnected floating-point arithmetic units for multicore adaptive signal processing systems

10.1109/recosoc.2011.5981539 ◽

2011 ◽

Cited By ~ 1

Author(s):

Faizal A. Samman ◽

Pongyupinpanich Surapong ◽

Manfred Glesner

Keyword(s):

Signal Processing ◽

Floating Point ◽

Processor Core ◽

Floating Point Arithmetic ◽

Arithmetic Units ◽

Adaptive Signal ◽

Point Arithmetic

Performance and area efficient transpose memory architecture for high throughput adaptive signal processing systems

2010 NASA/ESA Conference on Adaptive Hardware and Systems ◽

10.1109/ahs.2010.5546272 ◽

2010 ◽

Cited By ~ 4

Author(s):

Mohamed El-Hadedy ◽

Sohan Purohit ◽

Martin Margala ◽

Svein J. Knapskog

Keyword(s):

Signal Processing ◽

High Throughput ◽

Memory Architecture ◽

Adaptive Signal ◽

Area Efficient

Testbed for Wireless Adaptive Signal Processing Systems

2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007 ◽

10.1109/imtc.2007.379360 ◽

2007 ◽

Cited By ~ 3

Author(s):

Gyorgy Orosz ◽

Laszlo Sujbert ◽

Gabor Peceli

Keyword(s):

Signal Processing ◽

2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP) ◽

Design and implementation of adaptive signal processing systems using Markov decision processes

10.1109/asap.2017.7995275 ◽

2017 ◽

Author(s):

Lin Li ◽

Adrian E. Sapio ◽

Jiahao Wu ◽

Yanzhou Liu ◽

Kyunghun Lee ◽

...

Keyword(s):

Signal Processing ◽

Markov Decision Processes ◽

Decision Processes ◽

Design And Implementation ◽

Markov Decision ◽

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

A Fast Adaptive Speech Extraction Method using Blind Source Separation for Audio Signal Processing

10.35940/ijitee.b7253.029420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 727-733

Keyword(s):

Signal Processing ◽

Extraction Method ◽

Statistical Approach ◽

Audio Signal ◽

Noise Removal ◽

Audio Signal Processing ◽

Time Frequency ◽

Signal Processing Methods ◽

The adaptive signal processing methods are used in several applications like channel estimation, Noise removal and extraction of signals also. The methods vary on time, frequency and statistical approach. In this paper, the source speech signals are separated using different methods like FastICA,PCA and kICA. Comparison of original signal and estimated signals are evaluated for different methods. The implementation was done in MATLAB. The spectrogram, Negentropy and Kurtosis waveforms are plotted for different methods.