In this note, we show that by quantizing the N-dimensional frame coefficients of signals in Rd using r-th-order Sigma-Delta quantization schemes, it is possible to achieve root-exponential accuracy in the oversampling rate λ: = N/d. In particular, we construct a family of finite frames tailored specifically for coarse Sigma-Delta quantization that admit themselves as both canonical duals and Sobolev duals. Our construction allows for error guarantees that behave as e−c λ, where under a mild restriction on the oversampling rate, the constants are absolute. Moreover, we show that harmonic frames can be used to achieve the same guarantees, but with the constants now depending on d. I
AbstractSeveral analog-to-digital conversion methods for bandlimited signals used in applications, s...
Frame representations, which correspond to overcomplete generalizations to basis expansions, are oft...
The linear reconstruction phase of analog-to-digital (A/D) conversion in signal processing is analyz...
In this note, we show that by quantizing the N-dimensional frame coefficients of signals in Rd using...
Abstract—The-level Sigma–Delta () scheme with step size is introduced as a technique for quantizing ...
Abstract. We design alternative dual frames for linearly reconstructing sig-nals from Sigma-Delta (Σ...
AbstractWe study the performance of finite frames for the encoding of vectors by applying first-orde...
Abstract. A new class of alternative dual frames is introduced in the setting of finite frames for R...
Abstract. In this paper we investigate encoding the bit-stream resulting from coarse Sigma-Delta qua...
Sigma-Delta (Σ∆) schemes are shown to be an effective approach for quantizing finite frame expansion...
Several analog-to-digital conversion methods for bandlimited sig-nals used in applications, such as ...
In this note we will show that the so called Sobolev dual is the minimizer over all linear reconstru...
AbstractThe second-order Sigma–Delta (ΣΔ) scheme with linear quantization rule is analyzed for quant...
Representing signals using coarsely quantized coefficients of redundant expansions is an interesting...
AbstractThe second-order Sigma–Delta (ΣΔ) scheme with linear quantization rule is analyzed for quant...
AbstractSeveral analog-to-digital conversion methods for bandlimited signals used in applications, s...
Frame representations, which correspond to overcomplete generalizations to basis expansions, are oft...
The linear reconstruction phase of analog-to-digital (A/D) conversion in signal processing is analyz...
In this note, we show that by quantizing the N-dimensional frame coefficients of signals in Rd using...
Abstract—The-level Sigma–Delta () scheme with step size is introduced as a technique for quantizing ...
Abstract. We design alternative dual frames for linearly reconstructing sig-nals from Sigma-Delta (Σ...
AbstractWe study the performance of finite frames for the encoding of vectors by applying first-orde...
Abstract. A new class of alternative dual frames is introduced in the setting of finite frames for R...
Abstract. In this paper we investigate encoding the bit-stream resulting from coarse Sigma-Delta qua...
Sigma-Delta (Σ∆) schemes are shown to be an effective approach for quantizing finite frame expansion...
Several analog-to-digital conversion methods for bandlimited sig-nals used in applications, such as ...
In this note we will show that the so called Sobolev dual is the minimizer over all linear reconstru...
AbstractThe second-order Sigma–Delta (ΣΔ) scheme with linear quantization rule is analyzed for quant...
Representing signals using coarsely quantized coefficients of redundant expansions is an interesting...
AbstractThe second-order Sigma–Delta (ΣΔ) scheme with linear quantization rule is analyzed for quant...
AbstractSeveral analog-to-digital conversion methods for bandlimited signals used in applications, s...
Frame representations, which correspond to overcomplete generalizations to basis expansions, are oft...
The linear reconstruction phase of analog-to-digital (A/D) conversion in signal processing is analyz...