A High-Order Imaging Algorithm for High-Resolution Space-Borne SAR Based on a Modified Equivalent Squint Range Model

Two challenges have been faced in signal processing of ultrahigh-resolution spaceborne synthetic aperture radar (SAR). The first challenge is constructing a precise range model, and the second one is to develop an efficient imaging algorithm since traditional algorithms fail to process ultrahigh-resolution spaceborne SAR data effectively. In this paper, a novel high-order imaging algorithm for high-resolution spaceborne SAR is presented. First, a modified equivalent squint range model (MESRM) is developed by introducing equivalent radar acceleration into the equivalent squint range model, and it is more suitable for high-resolution spaceborne SAR. The signal model based on the MESRM is also presented. Second, a novel high-order imaging algorithm is derived. The insufficient pulse-repetition frequency problem is solved by an improved subaperture method, and accurate focusing is achieved through an extended hybrid correlation algorithm. Simulations are performed to validate the presented algorithm

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

Memory output-feedback integral sliding mode control for Furuta pendulum systems

This paper studies the memory output-feedback integral sliding mode control for Furuta pendulum systems subject to unmatched harmonic disturbances and measurement noise. By introducing an artificial time delay, the derivatives of angular positions are approximated via Taylor’s expansion on the integral remainder. On this basis, a novel delay-dependent output-based sliding surface is constructed for state estimation and performance analysis, which inherits the appealing properties of the state-feedback integral sliding surface such as the elimination of reaching phase. Wherein, the artificial delay is regarded as a flexible design parameter ranging between 0 and its upper bound, with the bound determined by solving linear matrix inequalities. As a result, an integral sliding mode controller (ISMC) consisting of a static output-feedback part and a switching part is designed based on the descriptor system representation of the original system to control the pendulum in a noisy environment. Comparative simulation studies with H∞ control, state-feedback ISMC, and high-order ISMC demonstrate the effectiveness of the design method.Jing Xu, Yugang Niu, Cheng-Chew Lim and Peng Sh

Design of Rotation Sensor.

Available from STL Prague, CZ / NTK - National Technical LibrarySIGLECZCzech Republi

Design of Rotation Sensor.

Available from STL Prague, CZ / NTK - National Technical LibrarySIGLECZCzech Republi

Benchmarking CMOS Adder Structures

Adders are key components in digital signal processing, performing not only addition operations, but also many other functions such as subtraction, multiplication and division. The difficulty with comparing adder structures from different sources is that quite often different implementation techniques and technologies have been used in the design. A second problem that arises when comparing structures is that several different measurement techniques may have been used, the target technology can differ and key features may not been measured. Therefore, this paper will investigate the seven most commonly used adder structures in a way which makes them directly comparable. This is achieved by implementing all adder structures with the same technology, the same level of abstraction and then using the same set of tools to determine the features of each of the designs