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LightGBM-Based Human Action Recognition Using Sensors. [PDF]
Sensors (Basel)Liu Y, Chen Z.
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WaveletHSI: Direct HSI Classification from Compressed Wavelet Coefficients via Sub-Band Feature Extraction and Fusion. [PDF]
J ImagingLi X, Sun B.
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DCD-Net: Decoupling-Centric Decomposition Network for Low-Light Image Enhancement. [PDF]
Sensors (Basel)Wang W, Zhu Y, Zhang M, Xie C.
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Chaos-Based Color Image Encryption with JPEG Compression: Balancing Security and Compression Efficiency. [PDF]
Entropy (Basel)Zhang W +5 more
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An enhanced adaptive image steganography method using block skin-maps and the integer S-transform. [PDF]
Sci RepKhalifa A +3 more
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Detection of atrial fibrillation via artificial intelligence-assisted auscultation. [PDF]
BMC Cardiovasc DisordGuo Y, Lin H, Chen H, Wu X, Luo Y.
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IEEE Transactions on Computers, 1974
A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Ahmed, N., Natarajan, T., Rao, K. R.
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A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
Ahmed, N., Natarajan, T., Rao, K. R.
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Discrete cosine transform filtering
Signal Processing, 1990Circular convolution-multiplication relationships for the discrete cosine transform (DCT) that are similar to those for the discrete Fourier transform (DFT) are developed. The relations are valid if the filter frequency response is real and even. Two fairly simple relations are developed.
B. Chitprasert, K.R. Rao
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Running discrete cosine transform
Journal of Biomedical Engineering, 1992The discrete cosine transform (DCT) has become an important tool in digital signal processing because its performance is close to the optimal Karhunen-Loeve transform. In this work the running discrete cosine transform (RDCT) is introduced. Using the properties of the discrete Fourier transform kernel W = exp (-2 pi j/N), a fast recursive algorithm was
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