A Firm Perspective of Anti-dumping and Countervailing Duty Cases in the United States

The role played by firms in the prosecution of anti-dumping and countervailing duty cases in the United States is understudied. This article provides greater understanding of the challenges faced by firms during the process of prosecuting anti-dumping and countervailing duty cases in the United States. This is achieved by applying a theoretical model of corporate political activity to data collected through interviews with 24 trade attorneys in Washington, D.C., practising in the area of antidumping and countervailing duty law. Anti-dumping and countervailing duty cases are found to require significant resource commitments from firms in the participating industries, as well as requiring individual firms to make a number of strategic decisions. The value of an affirmative decision and imposition of duties to the domestic and foreign industry is found to be more nuanced than previous studies have suggested. Non-duty effects of AD and CVD cases are also confirmed. Finally a clearer understanding of the role of individual firms in anti-dumping and countervailing duty cases is shown to have the potential to improve how industry influence is taken account of in future research.

Analysis of the effect of finite d.c. blocking capacitance and finite d.c. feed inductance on the performance of inverse class-E amplifiers

The first analysis and synthesis equations for the newly introduced inverse Class-E amplifier when operated with a finite d.c. blocking capacitance and a finite d.c.-feed inductance are presented in the paper. Closed-form design equations are derived in order to establish the circuit component values required for optimum synthesis. Excellent agreement between numerical simulation results and theoretical prediction is obtained. It is shown that drain efficiency approaching 100 at a pre-specified output power level can be achieved as zero-current switching and zero-current derivative conditions are simultaneously satisfied. The proposed analysis offers the prospect for realistic MMIC implementation.

A Low Complexity Real-time MIMO-Preprocessing For Fixed Complexity Sphere Decoder

Modern Multiple-Input Multiple-Output (MIMO) communication systems place huge demands on embedded processing resources in terms of throughput, latency and resource utilization. State-of-the-art MIMO detector algorithms, such as Fixed-Complexity Sphere Decoding (FSD), rely on efficient channel preprocessing involving numerous calculations of the pseudo-inverse of the channel matrix by QR Decomposition (QRD) and ordering. These highly complicated operations can quickly become the critical prerequisite for real-time MIMO detection, exaggerated as the number of antennas in a MIMO detector increases. This paper describes a sorted QR decomposition (SQRD) algorithm extended for FSD, which significantly reduces the complexity and latency
of this preprocessing step and increases the throughput of MIMO detection. It merges the calculations of the QRD and ordering operations to avoid multiple iterations of QRD. Specifically, it shows that SQRD reduces the computational complexity by over 60-70% when compared to conventional
MIMO preprocessing algorithms. In 4x4 to 7x7 MIMO cases, the approach suffers merely 0.16-0.2 dB reduction in Bit Error Rate (BER) performance.