Chia-Hsiang Yang

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A digital baseband cognitive radio spectrum sensing processor with 200-kHz resolution over 200-MHz bandwidth is integrated in 1.64 mm in 65-nm CMOS. The processor uses adaptive channel-specific threshold and sensing time to achieve detection probability 0.9 and false-alarm probability 0.1 for 5-dB SNR and adjacent-band interferers of 30-dB INR within a(More)
In this paper, an 8-channel closed-loop neural-prosthetic SoC is presented for real-time intracranial EEG (iEEG) acquisition, epileptic seizure detection, and adaptive feedback stimulation control. The SoC is composed of 8 energy-efficient analog front-end amplifiers (AFEAs), a 10b delta-modulated SAR ADC (DMSAR ADC), a configurable bio-signal processor(More)
This paper presents a design methodology for power and area minimization of flexible FFT processors. The methodology is based on the power-area tradeoff space obtained by adjusting algorithm, architecture, and circuit variables. Radix factorization is the main technique for achieving high energy efficiency with flexibility, followed by architecture(More)
This paper presents a normalized probabilistic min-sum algorithm for low-density parity-check (LDPC) codes, where a probabilistic second minimum value, instead of the true second minimum value, is used to facilitate fully parallel decoder realization. The comparators in each check-node unit (CNU) are connected through an interconnect network based on a mix(More)
To improve the performance of epileptic seizure detection, independent component analysis (ICA) is applied to multi-channel signals to separate artifacts and signals of interest. FastICA is an efficient algorithm to compute ICA. To reduce the energy dissipation, eigenvalue decomposition (EVD) is utilized in the preprocessing stage to reduce the convergence(More)
This correspondence presents an iterative geometric mean decomposition (IGMD) algorithm for multiple-input-multiple-output (MIMO) wireless communications. In contrast to the existing GMD algorithms, the proposed IGMD does not require the explicit computation of the geometric mean of positive singular values of the channel matrix, and hence substantially(More)
OBJECTIVE Around 1% of the world's population is affected by epilepsy, and nearly 25% of patients cannot be treated effectively by available therapies. The presence of closed-loop seizure-triggered stimulation provides a promising solution for these patients. Realization of fast, accurate, and energy-efficient seizure detection is the key to such implants.(More)
Epilepsy is one of the most common neurological disorders. Around 1% of the world’s population is affected, and nearly 25% of the patients cannot be treated by available therapies. Recently, seizure-triggered feedback electrical stimulation has been proved to effectively suppress pathological brain activities [1], but devices with accurate detection and(More)