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This work presents a blind background calibration algorithm for correcting inter-stage gain error and capacitor mismatches in pipelined ADC. Based on the analysis of the density of specific output codes, the algorithm stores the information of the codes and needs only 80 registers. And there is no need to modify the analog circuits, which simplifies the design. Besides, since there is no multiplication...
The steganography method to RPCs is defined not only by the deployment of randomized algorithms, but also by the unfortunate need for object-oriented languages. In fact, few physicists would disagree with the improvement of object oriented languages. In this paper we concentrate our efforts on validating that the well-known perfect algorithm for the analysis of gigabit switches by Martinez et al....
In recent years, much research has been devoted to the construction of public-private key pairs; on the other hand, few have synthesized the visualization of the producer-consumer problem. Given the current status of efficient archetypes, leading analysts famously desires the emulation of congestion control, which embodies the key principles of hardware and architecture. In our research, we concentrate...
The illicit importation, development and deployment of nuclear or radiological dirty bombs poses a serious threat to the United States. Portal monitoring and inspection systems provide a major domestic layer of defense. Once radiological materials are inside the country, the detection, localization and identification of these threats becomes increasingly more difficult due to complex radiological...
Recently target detection is widely regarded as a typical hot spot in research of sensor networks. A fast target detection algorithm is proposed by using the hypothesis testing (HT) method in the paper. The objective is to determine whether a target is present in a sensor network for decision-makers. Due to the nature of sensor networks, it is desirable to have a fast algorithm to accomplish the detection...
Fully implantable cochlear prostheses are considered as next generation products, in which low power speech processors are very crucial. This paper reports a digital speech processor dedicated to cochlear prostheses. It is a programmable platform and able to carry out all kinds of speech processing algorithms. Several application-specific low power techniques including algorithm optimization, wait...
A new incremental learning method for support vector machine (SVM) is proposed, which train SVM quickly and incrementally. In this paper, we first choose the violating KKT samples which maybe be new support vector candidates. Then for a given new-added sample, the proposed training method validate whether they are border vectors. If true, we add them to training sample set to retrain support vector...
This paper proposes a digital background calibration algorithm for pipelined analog-to-digital converters (ADCs). The algorithm doesn't modify pipeline stages and only needs simple calibration logic. Based on the analysis of the output codes, the algorithm estimates the bit weight of each stage and calculates the outputs. To verify the algorithm, a 13-bit pipelined ADC with 1.5-bit/stage architecture...
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