Efficient Spline Interpolation Curve Modeling

Sun, Ningping; Ayabe, Takanori; Nishizaki, T.

doi:10.1109/iihmsp.2007.4457653

Cited by 16 publications

(9 citation statements)

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“…To decompress ECG signal inverse Huffman encoding, inverse run length encoding, demoralisation and inverse DCT have been used. Spline interpolation (Sun et al, 2007) is used as the inverse process of down sampling. After spline interpolation, the reconstructed ECG signal is achieved.…”

Section: Compression and Decompression Proceduresmentioning

confidence: 99%

ECG data compression algorithm for tele-monitoring of cardiac patients

Jha¹,

Kolekar²

2017

IJTMCP

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This paper reports an efficient electrocardiogram (ECG) data compression algorithm for tele-monitoring of cardiac patients from rural area, based on combination of two encoding techniques with discrete cosine transform. The proposed technique provides good compression ratio (CR) with low percent root-mean-square difference (PRD) values. For performance evaluation of the proposed algorithm 48 records of ECG signals are taken from MIT-BIH arrhythmia database. Each record of ECG signal is of duration 1 minute and sampled at sampling frequency of 360 Hz. Noise of the ECG signal has been removed using Savitzky-Golay filter. To transform the signal from time domain to frequency domain, discrete cosine transform has been used which compacts energy of the signal to lower order of frequency coefficients. After normalisation and rounding of transform coefficients, signals are encoded using dual encoding technique which consists of run length encoding and Huffman encoding. The dual encoding technique compresses data significantly without any loss of information. The proposed algorithm offers average values of CR, PRD, quality score, percent root mean square difference normalised, RMS error and SNR of 11.49, 3.43, 3.82, 5.51, 0.012 and 60.11 dB respectively.

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Section: Compression and Decompression Proceduresmentioning

confidence: 99%

ECG data compression algorithm for tele-monitoring of cardiac patients

Jha¹,

Kolekar²

2017

IJTMCP

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“…be the n 1 th (n 2 th) element of H v and HOEk 1 , m 1 (HOEk 2 , m 2 ) the corresponding channel coefficient within the OFDM frame. According to (7), the .n 1 , n 2 / element of…”

Section: Time-frequency Mse Evaluationmentioning

confidence: 99%

Time‐frequency MSE analysis of linear channel estimation methods for the LTE downlink

Argenti

Biagini

et al. 2014

Trans. Emerging Tel. Tech.

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Orthogonal frequency-division multiplexing (OFDM) is widely used in modern communication systems thanks to the ease of its implementation as well as to a simple design of channel estimation methods. Pilot-based schemes are commonly employed to recover channel information and implement efficient channel equalisation. From the symbols transmitted over the pilot carriers, the channel coefficients for a whole OFDM are estimated. In this paper, we propose a method to compute in a closed form the mean square estimation error of different linear approximation and interpolation algorithms in the time-frequency domain. Specifically, by exploiting the linear relationship between the estimated channel coefficients for the whole frame and those relative to the pilots, the proposed approach permits to obtain the mean square error relative to all OFDM symbols in a frame. The method can be used for any linear frequency/time interpolation/approximation method and for any choice of pilot positions and channel statistics. Thanks to our derivations, several pilot-aided channel estimation and interpolation algorithms can be compared without resorting to burdensome computer simulations. In order to demonstrate the effectiveness of the method, the downlink of the long term evolution system is taken as a case study: some popular channel estimators have been selected and the best strategy in a realistic wireless scenario is investigated. The performance of the method is also verified by computing, by means of simulations, bit error rate (BER) curves for the long term evolution (LTE) multiple input multiple output (MIMO) downlink, using 2 2 and 4 4 Alamouti space-frequency coding configurations, in both uncoded and coded communications. Copyright

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“…A good interpolation method can improve the quality of the image. However conventional linear interpolation techniques cannot enhance the contrast and smooth edges simultaneously, including nearest neighbor interpolation [3], bilinear interpolation [4] and bicubic interpolation [5]. The resulting image may be inevitably blurred, and sometimes have block effects.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Transform Based Image Interpolation Using PBP Cubic and Hybrid Filter

Han

2016

IJMUE

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In this paper, a new wavelet based image interpolation algorithm using pixel-by-pixel (PBP) cubic image interpolation and hybrid filter is proposed for images which include many mid and high frequency elements. There is much important information in frequency bands. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensing images is not good over that of standard test images. The proposed interpolation technique uses PBP, DWT and hybrid filter to address these problems preserving thin lines and edges information. Simulation result shows that the proposed technique outperforms the conventional techniques in terms of PSNR.

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Efficient Spline Interpolation Curve Modeling

Cited by 16 publications

References 0 publications

ECG data compression algorithm for tele-monitoring of cardiac patients

ECG data compression algorithm for tele-monitoring of cardiac patients

Time‐frequency MSE analysis of linear channel estimation methods for the LTE downlink

Wavelet Transform Based Image Interpolation Using PBP Cubic and Hybrid Filter

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