Visual Display Units (VDUs), capable of displaying video data at High Definition (HD) and Ultra HD (UHD) resolutions, are frequently employed in a variety of technological domains. Quantization-induced video compression artifacts, which are usually unnoticeable in low resolution environments, are typically conspicuous on high resolution VDUs and video data. The default quantization matrices (QM...

In this paper, we propose digital image watermarking algorithm in the multiwavelet transform domain. The embedding technique is based on the quantization index modulation technique and this technique does not require the original image in the watermark extraction. We have developed an optimization technique using the genetic algorithm to search for optimal quantization steps to improve the qual...

This paper discusses basics of audio watermarking and the concepts of Quantization Index Modulation (QIM), Singular Value Decomposition (SVD), μ-law and their benefits that are useful for watermarking of audio signals. Survey of some related papers discusses the usefulness of QIM technique when used with Discrete Wavelet Transform (DWT) or SVD technique and improvement in DWT based technique us...

In this paper we propose a new technique to quantize the spectral information in an Algebraic Code-Excited Linear Prediction (ACELP) wideband codec. The Voicing-Based Vector Quantization (VBVQ) presented in this paper, optimizes the search of the optimum vector while reducing the codebook entries by almost one third. In the VBVQ training phase, three codebooks are individually designed for voic...

This work present a joint source-channel technique based on Channel Optimized Vector Quantization (COVQ) for transmission over bursty channels applied to LSP parameters coding. The bursty channel is modeled as a Finite State Channel (FSC) with two states. We call Bursty COVQ (BCOVQ) to the resulting quantization technique. The case in which channel state information is only available at the rec...

This report considers low resolution scalar quantization. Specifically, it considers entropyconstrained scalar quantization for memoryless Gaussian and Laplacian sources with both squared and absolute error distortion measures. The slope of the operational rate-distortion functions of scalar quantization for these sources and distortion measures is found. It is shown that in three of the four c...

Coding algorithms seek to minimize the bit rate in the digital representation of a signal without an objectionable loss of signal quality in the process. Speech enhancement means improvement in intelligibility and/or quality of a speech signal. This paper deals with multistage vector quantization technique used for coding of narrow band speech signals. The parameter used for coding of speech si...

This paper presents a quantization noise cancellation technique for frequency-to-digital converter-based fractional-N phase-locked loops (FDC-PLLs). The technique cancels quantization noise prior to the loop filter so the PLL bandwidth can be increased without a significant phase noise penalty. The paper also presents an FDC-PLL architecture enhancement that achieves the effect of a charge pump...

Recent research in the design of filter banks has shown that nonorthogonal filter banks can potentially provide higher coding gains over orthogonal filter banks. The use of non-orthogonal filter banks, however, poses a difficulty in the quantization of subband signals. The conventional nearest-neighbor (NN) encoding rule for the quantization of subband signals is no longer optimal. In this pape...