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A successive approximation analog-to-digital converter (SA-ADC) for biomedical application is presented. It is based on 0.18-μm standard CMOS technology and operates at low supply voltage at 1V. Boosted switch for sample-and-hold stage, split capacitor array for DAC, and clocked rail-to-rail comparator are used to achieve low-power consumption. The(More)
In this paper, we present the intelligent multi-media data hiding techniques and their possible applications. An introduction on intelligent multimedia data hiding is described which covers backgrounds, recent advances, methodologies, and implementations. The recently developed research branch called reversible data hiding is also depicted. Two major(More)
For medical treatments, the integrity of the medical images, the authenticity of corresponding medical records, and the privacy of the patients are crucial requirements for the diagnosis of patient's disease. Therefore, how to retain the validity between images and medical records is an important topic for researches and real applications. In this paper, we(More)
Motor imagery-based brain-computer interface (BCI) is a communication interface between an external machine and the brain. Many kinds of spatial filters are used in BCIs to enhance the electroencephalography (EEG) features related to motor imagery. The approach of channel selection, developed to reserve meaningful EEG channels, is also an important(More)
In recent years, there has been an increasing interest in diffuse optical tomography (DOT). The image accuracy and computational complexity are greatly affected by the reconstruction algorithm. This paper aims at providing an efficient reconstruction technique which can be implemented in VLSI for advanced portable devices. Various inhomogeneous absorption(More)
An adaptive electronic neural network processor has been developed for high-speed image compression based on a frequency-sensitive self-organization algorithm. The performance of this self-organization network and that of a conventional algorithm for vector quantization are compared. The proposed method is quite efficient and can achieve near-optimal(More)