Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

We present a branch-and-bound algorithm for minimizing a convex quadratic objective
function over integer variables subject to convex constraints. In a given node of the …

This paper proposes a min-max design of noise-shaping delta-sigma modulators. We first
characterize the all stabilizing loop-filters for a linearized modulator model. By this …

The Noise Transfer Function (NTF) of ΔΣ modulators is typically designed after the features
of the input signal. We suggest that in many applications, and notably those involving D/D …

A design flow for ΔΣ modulators is illustrated, allowing quantization noise to be shaped
according to an arbitrary weighting profile. Based on finite-impulse-response noise transfer …

Recently, strategies based on semidefinite programming (SDP) have been proposed for the
design of the noise transfer function (NTF) of Δ Σ modulators. Contrarily to conventional …

A special reformulation-linearization technique based linear conic relaxation is proposed for
discrete quadratic programming (DQP). We show that the proposed relaxation is tighter than …

Quantization errors often produce the dominant phase noise component in wide-band
fractional-N phase locked loops (PLLs). Recently, a few techniques have been proposed to …

An example of how circuit related techniques can help solving optimisatin problems
originating from completely different domains is provided. It is shown that a specific class of …

This paper considers a sigma delta modulator (SDM) with the outputs of the quantizers
directly fedback to the inputs of the loop filter without being subtracted from the input …