In this contribution the impact of finite signal wordlengths on the performance of digital systems for arbitrary sampling rate conversion (ASRC), where input and output sampling rates are derived from independent clock generators, is investigated. For two different approaches to ASRC the noise power due to both, input/output quantisation and multiplication roundoff errors, is determined as a fu...

In digital systems, the amplitude of a time series is quantised with finite resolution. This is a nonlinear process which introduces distortion. We develop a Bayesian, model-based approach to reducing the quantisation distortion when moving a time series, such as an audio signal, to a higher resolution medium. The signal is modelled as a discrete-time, continuous-valued autoregressive (AR) proc...

A Bayesian estimation problem is considered, in which the observation is a vector-valued, continuous-time stochastic process of the ‘signal-plus-white-noise’ variety and approximations based on sampling and quantisation of this process are developed. The problem includes continuous-time nonlinear lters, interpolators and extrapolators as special cases. The e ect of quantisation is characterised...

The paper presents a novel approach, based on the wavelet decomposition and the learning vector quantisation algorithm, to automatic classification of signals with linear frequency modulation, generated by radar emitters. The goal of radar transmitter classification is to determine the particular transmitter, from which a signal originated, using only the just received waveform. To categorise a...

Sigma-delta modulation, where a single-bit quantiser is embedded within a negative feedback loop (Fig. 1), is now a commonly-used technique for implementing high-resolution analogue-to-digital and digital-toanalogue converters (DACs), principally because of a favourable insensitivity to component tolerancing [1]. Single-bit quantisation generates relatively high levels of quantisation noise, he...

2.6. Hardware Requirements 2.2.1. Sample-and-hold 2.2.2. Analog-to-digital conversion 2.2.3. ADC resolution and error sources Sampling Rates and Timing Quantisation Errors Signal Overflow 2.5.

Introduction: Traditionally, much of the research into estimating the effects of truncation and roundoff noise in fixed-point systems has been focused on the implementation within, or design of, a digital signal processing (DSP) processor. This leads to certain constraints on and assumptions about quantisation errors: for example that the wordlength at all signals in the signal flow graph (SFG)...

modulation is a proven method to realize high-resolution A/D converters. A particularly efficient way to implement such a modulator uses double-sampling where the sampling frequency is twice the master-clock frequency. Unfortunately path mismatch between both sampling branches causes a part of the quantisation noise to fold from the Nyquist frequency back in the signal band. This degrades the p...

Permanent distortion is one of the main drawbacks of all the irreversible watermarking schemes. Attempts to recover the original signal after the signal passing the authentication process are being made starting just a few years ago. Some common problems, such as salt-andpepper artefacts due to intensity wraparound and low embedding capacity, can now be resolved. However, we point out in this w...