Wavelet-based multiband dynamic range compression is developed to compensate for a common hearing impairment known as recruitment of loudness. The algorithm combines standard compression with intensity-level dependent gain calculation. Complexity and performance are similar to traditional techniques. Further, the methods established here can be applied to the more adaptive wavelet packets and l...

Typical parameterization schemes utilize linear prediction or melscaled filter-banks, which are classic windowed DFT based methods. In this paper a new optimized adaptive wavelet parameterization scheme is presented. A novel extension of the Best Basis algorithm is used on wavelet-packet cosine transform (WPCT) instead of typical filter bank. Obtained features are tested using Polish language H...

This paper presents Mean Best Basis algorithm, an extension of the well known Best Basis Wickerhouser’s method, for an adaptive wavelet decomposition of variable-length signals. A novel approach is used to obtain a decomposition tree of the wavelet-packet cosine hybrid transform for speech signal feature extraction. Obtained features are tested using the Polish language hidden Markov model phon...

The aim of this paper is to examine a set of wavelet functions (wavelets) used in image watermarking system. Several wavelet functions are used to transform the component detail of the image in frequency domain. Discrete wavelet transform (DWT), discrete Fourier transform (DFT) and discrete cosine transform (DCT) are some commonly used transform domain functions out of which discrete wavelet tr...

A novel method for100Gbpsall-optical OFDM using Discrete Cosine Transform in a Radio-Over-Fiber link is proposed. The system is designed simply using both symmetric and asymmetric passive optical couplers. DCT is achieved all-optically by adjusting the length and splitting ratio of the couplers. The performance of the system is compared with all-optical OFDM based on Discrete Fourier, Discrete ...

In this paper a new method for contrast enhancement based on the discrete cosine transform is discussed and implemented. The technique converts the image into DCT domain and the DCT coefficients are modified using proposed mask then the enhanced image is reconstructed using inverse DCT. The discrete cosine transform outperforms with better image quality and highest PSNR value for noiseless gray...

We propose a new vein of feature vectors for robust speech recognition that use denoised wavelet coefficients. Greater robustness to unexpected additive noise or spectrum distortions begins with more robust acoustic features. The use of wavelet coefficients is motivated by human acoustic process modelling and by the ability of wavelet coefficients to capture important time and frequency feature...

In this paper, we propose a new video denoising algorithm which uses an efficient wavelet based spatio-temporal filter. The filter first applies 2D discrete wavelet transform (DWT) in horizontal and vertical directions on an input noisy video frame and then applies 1-D discrete cosine transform (DCT) in the temporal direction in order to reduce the redundancies which exist among the wavelet coe...