Fractal Compression relies on image self similarities at different regions . The self similarity provides an efficient way to code the image using the least possible parameters. The Wavelet Transform decomposes an image. The decomposed image is rich in self similarities. In this research we explore how the wavelet transform helps to produce a higher compression ratio when applied to the Iterate...

In This paper, the bit error rate analysis (BER) and peak signal to noise ratio performance (PSNR) of discrete wavelet transform (DWT)-OFDM system is compared with conventional fast fourier transform (FFT)-OFDM system for colour image transmission, here we use different error correcting codes like Reed Solomon codes, low density parity check codes (LDPC). The transmitted colour image is found t...

In this contribution we analyzed and compared the bit error rate performance for MC-CDMA (multicarrier codedivision multiple access) systems using IFFT/FFT (inverse fast Fourier transform/fast Fourier transform) and conventional correlation receiver over a frequency selective Rayleigh fading channel. Carrier frequency offset is considered in the analysis with either equal gain combining or maxi...

This paper describes the implementation of Single-objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) to optimize the pipelined Fast Fourier Transform (FFT) coefficient in order to improve the performance of Signal to Noise Ratio (SNR) and also the Switching Activity (SA). The SA and SNR are optimized separately in a Radix-4 Single Path Delay Feedback (R4SDF) pipeli...

Digital Watermarking technique is used to embed the useful information in a transmission media for copyright protection, authentication and broadcast monitoring etc. This paper describes an image hiding method using Fast Fourier Transform (FFT) algorithm which calculates the Peak Signal to Noise Ratio (PSNR) values and compare them with Gray Scale and Discrete Cosine Transform (DCT). The experi...

Many transform based image compression methods have been experimented till now. This paper proposes novel image compression method using hybrid slant transform. Slant transform is used as base transform to focus on global features of an image. Sinusoidal orthogonal transforms like DCT, DST, Hartley and Real-DFT are paired with slant transform to generate hybrid slant wavelet transform. Performa...

The objective of this paper is to implement and evaluate the effectiveness of scaling functions and wavelet transformations in the field of image compression and decompression. The performance parameters like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), and Compression Ratio(CR),SNR(Signal to Noise Ratio) are calculated based on the Matlab source code. The implemented model prov...

This paper describes a new software method called “averaging correlation” to do block level GPS C/A code acquisition and tracking in frequency domain with smaller FFT blocks. The method retains the signal to noise ratio observed in more expensive correlators. Frequency domain software processing will become more feasible and popular if this method is implemented in civil GPS receivers.

The VisuShrink is one of the important image denoising methods. It however does not provide good quality of image due to removing too many coefficients especially using soft-thresholding technique. This paper proposes a new image denoising scheme using wavelet transformation. In this paper, we modify the coefficients using soft-thresholding method to enhance the visual quality of noisy image. T...

This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals. The method is based on a M-ary generalized likelihood ratio test (LRT) defined over a multiple observation window in the Fourier domain. The motivations for proposing another detection algorithm based on maximum a posteriori (MAP) estimation are found in the high complexity of the signal model ...