Research ArticleOpen accessIn the author namesSmooth Formant Peak Via Discrete Tchebichef TransformNur Azman Abu, Ferda Ernawan, Fadzilah SalimWith the growth in computing power, speech recognition carries a strong potential in the near future. It has even become increasingly popular with the development of mobile devices. Presumably, mobile devices have limited computational power, memory size and battery life. In general, speech recognition operation requires heavy computation due to large samples per window used. Fast Fourier Transfom (FFT) is … …Journal of Computer Science, Vol. 11, Issue 2 · 10 Sep 2014 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Image Dithering Via Tchebichef Moment TransformNur Azman Abu, Ferda Ernawan, Nanna SuryanaMany image display applications and printing devices allow only limited number of colours. They have limited computational power and storage to produce high quality outputs on high bit-depth colour image. A dithering technique is called for here in order to improve the perceptual visual quality of the limited bit-depth images. A dithered image is represented by a natural colour in … …Journal of Computer Science, Vol. 9, Issue 7 · 11 Jun 2013 · 7,350 accessesView PDFCite
Research ArticleOpen accessIn the author namesAdaptive Tchebichef Moment Transform Image Compression using Psychovisual ModelFerda Ernawan, Nur Azman Abu, Nanna SuryanaAn extension of the standard JPEG image compression known as JPEG-3 allows rescaling of the quantization matrix to achieve a certain image output quality. Recently, Tchebichef Moment Transform (TMT) has been introduced in the field of image compression. TMT has been shown to perform better than the standard JPEG image compression. This study presents an adaptive TMT image compression. This … …Journal of Computer Science, Vol. 9, Issue 6 · 1 Jun 2013 · 7,131 accessesView PDFCite