This paper presents a fully configurable FPGA architecture for two-channel filter banks which enables rapid quantization error and hardware performance analysis. Lattice designs that eliminate the effects of quantization error do not necessarily exhibit linear phase and may result in excessive delay. This can make them ill-suited for applications such as digital audio. Thus, the effects of quan...

In this chapter, we describe various schemes for quantizing speech features to be used in distributed speech recognition (DSR) systems. We have analyzed the statistical properties of MFCCs that are most relevant to quantization, namely the correlation and probability density function shape, in order to determine the type of quantization scheme that would be most suitable for quantizing them eff...

A watermarking scheme for distinguishing different copies of the same multimedia document (fingerprinting) is investigated. Efficient transmission of natural data requires lossy compression, which might impair the embedded watermark. We investigate whether the quantization step in compression schemes can be replaced by dithered quantization to combine fingerprinting and compression. Dithered qu...

We propose a new wavelet compression algorithm based on the rate-distortion optimization for densely sampled triangular meshes. This algorithm includes the normal remesher, a wavelet transform, and an original bit allocation optimizing the quantization of the wavelet coefficients. The allocation process minimizes the reconstruction error for a given bit budget. As distortion measure, we use the...

In transmission, storaging and coding of digital signals we frequently perform A/D conversion using quantization. In this paper we study the maxiaml and mean square errors as a result of quantization. We focus on the sigma-delta modulation quantization scheme in the finite frame expansion setting. We show that this problem is related to the classical Traveling Salesman Problem (TSP) in the Eucl...

This work addresses the problem of stabilizing uncertain systems with quantized outputs using the supervisory control framework, in which a finite family of candidate controllers is employed together with an estimator-based switching logic to select the active controller at every time. For static quantizers, we provide a relationship between the quantization range and the quantization error bou...

Spatial quantization error and displacement error are inherent in automated visual inspection systems. This paper discusses the effect of spatial quantization errors and displacement errors on the precision dimensional measurements for an edge segment. Probabilistic analysis in terms of the resolution of the image is developed for two-dimensional (2-D) quantization errors. Expressions for the m...

The combination of feedback and quantization causes special problems. (Each on its own has its problems, like instability and round-off errors.) The main problem is the likely existence of multiple equilibria or limit cycles. Another is possible coherence between the input signal and quantization error or limit cycle, making the error indistinguishable from whatever signal characteristic we wan...

This paper investigates the effect of quantization on the performance of the Neyman-Pearson test. It is assumed that a sensing unit observes samples of a correlated stationary ergodic multivariate process. Each sample is passed through an N -point quantizer and transmitted to a decision device which performs a binary hypothesis test. For any false alarm level, it is shown that the miss probabil...

Signal quantization in the presence of independent, identically distributed, large amplitude threshold noise is examined. It has previously been shown that when all quantization thresholds are set to the same value, this situation exhibits a form of stochastic resonance known as suprathreshold stochastic resonance. This means the optimal quantizer performance occurs for a small input signal-to-...