Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform | Zendy

Ashraf Mohamed Ali Hassan | Zendy; Mohammed S. Alzaidi | Zendy; Sherif S. M. Ghoneim | Zendy; Waleed El Nahal | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

Author(s) -

Ashraf Mohamed Ali Hassan,

Mohammed S. Alzaidi,

Sherif S. M. Ghoneim,

Waleed El Nahal

Publication year - 2022

Publication title -

computers, materials and continua/computers, materials and continua (print)

Language(s) - English

Resource type - Journals

eISSN - 1546-2226

pISSN - 1546-2218

DOI - 10.32604/cmc.2022.024044

Subject(s) - discrete cosine transform , signal (programming language) , computer science , compressed sensing , compression ratio , signal reconstruction , signal compression , wavelet , mean squared error , noise (video) , discrete wavelet transform , pattern recognition (psychology) , wavelet transform , artificial intelligence , signal processing , algorithm , mathematics , statistics , digital signal processing , engineering , automotive engineering , computer hardware , image (mathematics) , programming language , internal combustion engine

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research