Abstract: In this paper we presented the quality of Peak to average power ratio (PAPR) reduction using two methods – discrete cosine transform and Discrete sine transform. These methods are applied on Karhunen –Loeve (KL) Transformed images which are applied with different trigonometric transforms, using software MATLAB. The quality of the compressed image is determined by values of (PSNR) peak signal to noise ratio. The values are presented in appropriate diagrams. Based on the obtained data, we compared the quality of signal by computing the complementary cumulative distribution function(CCDF).It was found that using the trigonometric transforms gives better results as compared with simple coded orthogonal frequency division multiplexing of signal. The work presented in this paper explains as to, how the quality of the signal varies with the trigonometric transforms which is applied on the grayscale test image.
Keywords: KL Transform, AWGN, Complementary cumulative distribution function, Peak signal to noise ratio, OFDM, Wavelets.
Title: Transmission of Images via Trigonometric Transforms
Author: Kavita Sogale, Dr.D.J.Pete
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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