Titlebook: Hypergeometric Orthogonal Polynomials and Their q-Analogues; Roelof Koekoek,Peter A. Lesky,René F. Swarttouw Book 20101st edition Springer

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書(shū)目名稱Hypergeometric Orthogonal Polynomials and Their q-Analogues影響因子(影響力)




書(shū)目名稱Hypergeometric Orthogonal Polynomials and Their q-Analogues影響因子(影響力)學(xué)科排名




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書(shū)目名稱Hypergeometric Orthogonal Polynomials and Their q-Analogues網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱Hypergeometric Orthogonal Polynomials and Their q-Analogues讀者反饋學(xué)科排名

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouwlarity order is greater than or equal to five independent of the wavelet decomposition level. For the fifth and sixth levels of wavelet decomposition, it is found that the energy measure always performed better than the bispectral phase entropy measure independent of the regularity of the filter ban

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouwctions. The proposed methods are introduced that can be used in different situations such as mobile devices, telemedicine, cloud computing, and finally supporting preventive and supportive treatment of CVDs. Since the performance of proposed algorithms is very important, the time duration, as an add

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouwatory levels of the EEG signals. To reduce the feature space, the Kruskal-Wallis test based feature ranking is applied. The selected features after feature ranking are used in random forest (RF) classifier for classifying normal from healthy subjects and seizure from epileptic subjects using EEG sig

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he within-subject variability evaluation for outliers’ removal and reliable curves’ selection. The patterns are then used for deep learning of discriminative classifiers. The proposed pre-processing method encompasses steps of gait events detection, normalization, outlier detection, and cycles’ sele

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouwte array (FPGA), allowing rapid testing and deployment of hardware systems. Moreover, the novel neuromorphic platform has the potential to efficiently accelerate neural networks as well, which was not possible with the FPGA..In this chapter, we conduct a systematic review of hardware-accelerated neu

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouw of life for such patients or providing better treatment. The framework makes use of various features from various signal signatures with contribution from time domain, frequency domain, and inter-channel statistics. Next, we conducted a comparative analysis of SVM, 3-NN, and ensemble learning with

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Roelof Koekoek,Peter A. Lesky,René F. Swarttouwomprises both the biosignal formation path from the biosignal source at the physiological level to biosignal propagation in the body, and the biosignal sensing path from the biosignal transmission in the sensor applied on the body up to its conversion to an electric signal. Namely, the optical senso