Number theoretical error estimates in a quantization scheme for bandlimited signals

نویسنده

  • C. Sinan Güntürk
چکیده

Sigma-delta quantization is a way of representing bandlimited signals (functions with compactly supported Fourier transforms) by {0, 1} sequences for each sampling density such that convolving these sequences with appropriately chosen filters produces approximations of the original signals. Approximations are refined by increasing the sampling density; this is what makes such a scheme fundamentally different from more conventional quantization schemes, where the sampling density is not varied. We present various examples of how tools from analytic number theory are employed in sharpening the error estimates in sigma-delta systems.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Second order Sigma-Delta (Σ∆) quantization of finite frame expansions ⋆

The second order Sigma-Delta (Σ∆) scheme with linear quantization rule is analyzed for quantizing finite unit-norm tight frame expansions for Rd. Approximation error estimates are derived, and it is shown that for certain choices of frames the quantization error is of order 1/N2, where N is the frame size. However, in contrast to the setting of bandlimited functions there are many situations wh...

متن کامل

Estimation of Bandlimited Signals in Additive Gaussian Noise: a "Precision Indifference" Principle

The sampling, quantization, and estimation of a bounded dynamic-range bandlimited signal affected by additive independent Gaussian noise is studied in this work. For bandlimited signals, the distortion due to additive independent Gaussian noise can be reduced by oversampling (statistical diversity). The pointwise expected mean-squared error is used as a distortion metric for signal estimate in ...

متن کامل

Reconstruction of Nonuniformly Sampled Bandlimited Signals Using Digital Fractional Delay Filters: Error and Quantization Noise Analysis

This paper deals with the problem of reconstructing nonuniformly sampled bandlimited signals. This problem arises in, e.g., time-interleaved analog-to-digital converter (ADC) systems due to time-skew errors. A synthesis system composed of (ideal) digital fractional delay filters for the reconstruction was recently proposed in [1]. In this paper, we briefly recapitulate the theory and continue w...

متن کامل

Finite Rate of Innovation Signals: Quantization Analysis with Resistor-Capacitor Acquisition Filter

Sampling and perfect reconstruction of Finite rate of innovation (FRI) signals, which are usually not bandlimited, was introduced by Vetterli, Marziliano, and Blu [1]. A typical FRI reconstruction algorithm requires solving for FRI signal parameters from a power-sum series. This in turn requires annihilation filters and polynomial root-finding techniques. These steps complicate the analysis of ...

متن کامل

Sampling Error Analysis and Properties of Non-bandlimited Signals That Are Reconstructed by Generalized Sinc Functions

Abstract. Recently efforts have been made to use generalized sinc functions to perfectly reconstruct various kinds of non-bandlimited signals. As a consequence, perfect reconstruction sampling formulas have been established using such generalized sinc functions. This article studies the error of the reconstructed non-bandlimited signal when an adaptive truncation scheme is employed. Further, wh...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000