By Jesъs Arбmburo and Antonio Ramнrez Treviсo
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Function blkproc is used to facilitate both DCT computation and coefficient denormalization and quantization, while im2col is used to simplify the quantized coefficient reordering and zero run detection. 1 uses an alternate matrix formulation 28 Advances in Robotics, Automation and Control T=HFH (1) Where F is an 8x8 block of image f(x,y), H is an 8x8 DCT transformation matrix generated by dctmtx(8) (more details for MATLAB functions can be found in MATLAB® Documentary), and T is the resulting DCT of F.
703-706. , Karim F. & Abolfazl T. (2002). Feature Extraction with Wavelet Transform for Recognition of Isolated Handwritten Farsi/Arabic Characters and Numerals. IEEE, DSP, pp. 923- 926. G. Olivier, H. Miled, K. Romeo, and Y. Lecourtier. (1996). Segmentation and Coding of Arabic Handwritten Words,” Proc. Pattern Recognition, vol. 3, pp. 264268, 1996. H. S. Udpa. (1992). Recognition of Arabic Characters. IEEE Trans. 853-857. I. J. Holt, and S. Datta. (1998). Recognition of Off-Line Cursive Handwriting.
F. G. (2002); A method for burning detection in grinding process using acoustic emission and effective electrical power signal, CIRP Journal of Manufacturing Systems, 31, 2002, 253-257, Paris. Bhushan B. (2001), Modern tribology handbook, CRC Press LLC, 2001. , Tönshoff H. , Czenkusch, C. (1998), Modelling and optimization of grinding process, Journal of Intelligent Manufacturing, 9, 1998, 303314. 44 Advances in Robotics, Automation and Control Dornfeld, D. A. (1985), Manufacturing process monitoring and analysis using acoustic emission, Journal Acoustic Emission, 4, No.