Browsing Faculty Contributions by Subject "Kernel"
Now showing items 1-4 of 4
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An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ... -
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
( IEEE , 2013 , Conference Paper)Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, ... -
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Time frequency signal analysis and processing toolbox update 6.2: An enhanced research platform with new advanced high-resolution TFDs
( IEEE , 2013 , Conference Paper)This paper describes the advancements, updates and improvements made in the new Time Frequency Signal Analysis TFSAP toolbox as compared with the previous TFSA toolbox version. The updates and improvements done in TFSA ...