A high-level simulation and synthesis environment for ΔΣ modulators

Francken, K.; Gielen, Georges

doi:10.1109/tcad.2003.814954

Cited by 87 publications

(39 citation statements)

References 19 publications

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“…A first-order integrator which might be demonstrated as a collector has been utilized by the straightforward sigma-delta quantizer [18]. The Matlab ® program imitates the occupied first-order sigma-delta adaptor.…”

Section: A Power Spectral Densitymentioning

confidence: 99%

Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab

Barzinjy

Ismail

Ameen

2017

UHDJST

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It can be stated that sigma-delta [3] analog-to-digital adapter is a most common approach of over-sampling analog-to-digital adapter. The map processor of a sigma-delta analog-to-digital adapter is displayed in Fig. 1 [4].The sigma-delta analog-to-digital adapter can be divided into two lumps, the quantizing and the decimating parts. Essentially, decimation is the act of decreasing the data rate down from the over-sampling rate without losing information. The quantizing part contains the analog integrator, the 1-bit analog-to-digital adapter, and the 1-bit digital-to-analog adapter [5]. The task of the quantizing part is to adapt the data in the analog input into digital shape. The input-output relationship of the sigma-delta quantizer is A B S T R A C TThe received analog signal must be digitized before the digital signal processing can demodulate it. Sampling, quantization, and coding are the separate stages for the analog-to-digital adaptation procedure. The procedure of adapting an unceasing time-domain signal into a separate time-domain signal is called sampling. While, the procedure of adapting a separatetime, continuous-valued signal into a discrete-time, discrete-valued signal is known as quantization. Thus, quantization error is the mismatch between the unquantized sample and the quantized sample. The method of demonstrating the quantized samples in binary form is known as coding. This investigation utilized Matlab® program to recommend a proper scheme for a wireless-call button network of input signal, normalized frequency, and over-sampling ratio against signalto-quantization noise ratio. Two vital characteristics of this wireless network design are cost-effective and low-power utilization. This investigation, through reducing the in-band quantization error, also studied how oversampling can enhance the accomplishment of an analog-to-digital adapter.

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Section: A Power Spectral Densitymentioning

confidence: 99%

Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab

Barzinjy

Ismail

Ameen

2017

UHDJST

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“…Single-standard synthesis methodologies of RDMs has been already reported [8,22,23]. Multi-standard synthesis, on the other hand, has been covered only recently in [24].…”

Section: Review Of Related Workmentioning

confidence: 99%

Systematic top-down design of reconfigurable ΣΔ modulators for multi-standard transceivers

Castro-López

Morgado

Guerra

et al. 2008

Analog Integr Circ Sig Process

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“…Marques et al [9] empirically optimize the filter coefficients of simple feedback topologies by extensive simulation. DAISY [10,11] builds a library with a range of topologies. Simulations combined with genetic algorithms are then employed to select the right topology.…”

Section: Introductionmentioning

confidence: 99%

Designing globally optimal delta–sigma modulator topologies via signomial programming

Ho¹,

Kwan²,

Wong³

et al. 2008

Circuit Theory & Apps

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SUMMARYWe present a design methodology for globally optimizing the topologies of delta-sigma modulators (DSMs). Previous work cast the design task into a general non-convex, nonlinear programming problem, whereas we propose to recast it as a signomial programming problem. Convexification strategies are presented for transforming the signomial programming problem into its equivalent convex counterpart, thereby enabling the solution of globally optimal design parameters. It is also possible to include circuit non-ideal effects that affect the transfer function of the modulator into the formulation without affecting the computational efficiency. The proposed framework has been applied to topology synthesis problems of single-loop and multi-loop low-pass DSMs based on discrete-time circuitry. Numerical results confirm the effectiveness of the proposed approach over conventional nonlinear programming techniques.

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A high-level simulation and synthesis environment for ΔΣ modulators

Cited by 87 publications

References 19 publications

Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab

Mathematical Modeling of Sampling, Quantization, and Coding in Sigma Delta Converter using Matlab

Systematic top-down design of reconfigurable ΣΔ modulators for multi-standard transceivers

Designing globally optimal delta–sigma modulator topologies via signomial programming

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