Journal ArticleDOI
The real implementation of nlms channel equalizer into the system of software defined radio
Radek Martinek,Jan Zidek +1 more
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TLDR
Experimental results suggest that researched ANFIS equalizer embodies better BER values in comparison to commercially most common equalizers of the least mean square algorithm group.Abstract:
This paper deals with the usage of a combination of fuzzy system and artificial techniques, which are called adaptive neuro fuzzy inference system (ANFIS), in order to minimize the distance between the signal and SNR transmitting channel noise and then reduce the error rate of bit error rate (BER) transmission. The authors are focusing on a real implementation of ANFIS channel equalizer on software-defined radio (SDR) system working on PCI eXtensions for instrumentation (PXI) platform. This sophisticated modular measuring system consists of a vector signal generator RF VSG NI PXI-5670 and a vector signal analyzer RF VSA NI PXI-5661. Experimental results suggest that researched ANFIS equalizer embodies better BER values in comparison to commercially most common equalizers of the least mean square algorithm group. Moreover, the conducted experiments show that the usage of the SDR conception is very suitable for testing new principles in channel equalization field.read more
Citations
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Journal ArticleDOI
Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.
Radek Martinek,Radana Kahankova,Janusz Jezewski,Rene Jaros,Jitka Mohylova,Marcel Fajkus,Jan Nedoma,Petr Janku,Homer Nazeran +8 more
TL;DR: The results demonstrated that even though these advanced signal processing methods are suitable for the non-invasive estimation and monitoring of the fHR information from maternal aECG signals, their utility for further morphological analysis of the extracted fECGs signals remains questionable and warrants further work.
Journal ArticleDOI
Visible Light Communication System Based on Software Defined Radio: Performance Study of Intelligent Transportation and Indoor Applications
TL;DR: The primary focus of this study is to determine the basic parameters of real implementation of visible light communication (VLC) system, such as transmit speed, communication errors, bit-error ratio, error vector magnitude, energy per bit to noise power spectral density ratio and highest reachable distance.
Journal ArticleDOI
A novel LabVIEW-based multi-channel non-invasive abdominal maternal-fetal electrocardiogram signal generator.
Radek Martinek,Michal Kelnar,Petr Koudelka,Jan Vanus,Petr Bilik,Petr Janku,Homer Nazeran,Jan Zidek +7 more
TL;DR: The design, construction, and testing of a multi-channel fetal electrocardiogram (fECG) signal generator based on LabVIEW, which enables manifestations of hypoxic states to be monitored while complying with clinical recommendations for classifications in cardiotocography (CTG) and fECG ST segment analysis (STAN).
Journal ArticleDOI
Testing of the voice communication in smart home care
TL;DR: Experimental results suggest that the studied system has the potential to refine the voice control of technical and operating functions of Smart Home Care even in a very noisy environment.
Journal ArticleDOI
Adaptive Optimization of Control Parameters for Feed-Forward Software Defined Equalization
TL;DR: The automatic optimal setting feature of the LMS Algorithm parameters N and $$\mu$$μ, enabled us to solve the hardware configuration problem for the FFSDE method and eliminate redundant data of the training sequence and increase the throughput.
References
More filters
Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Journal ArticleDOI
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
Herbert Jaeger,Harald Haas +1 more
TL;DR: A method for learning nonlinear systems, echo state networks (ESNs), which employ artificial recurrent neural networks in a way that has recently been proposed independently as a learning mechanism in biological brains is presented.
Book
Adaptive Filtering: Algorithms and Practical Implementation
TL;DR: Adaptive Filtering: Algorithms and Practical Implementation may be used as the principle text for courses on the subject, and serves as an excellent reference for professional engineers and researchers in the field.
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