Architecture Design of Frequency Domain Processing for Flexible and Re-configurable WiMAX OFDMA Receiver

AbstractThis paper proposes hardware architecture of WiMAX OFDMA frequency domain processing system. The system mainly consists of channel estimator, equalizer, and subcarrier de-allocator. The system is optimized for flexible and re-configurable WiMAX OFDMA receiver. The flexibility feature is obtained by employing flexible control unit approach using task FIFO. Using this scheme, the designed system can handle various and complex data structure within OFDMA frame. The propesed architecture has been implemented in 0.13μm CMOS technology. The implementation result shows that chip area is about 0.45 mm2 and able to work in targeted system clock 54MHz

Improved spike-based brain-machine interface using bayesian adaptive kernel smoother and deep learning

Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a binning method for estimating firing rates and linear decoder for decoding behavioural parameters. The limitations of binning and linear decoder lead to suboptimal performance of MUA-based BMIs. To address this issue, we propose a method which consists of Bayesian adaptive kernel smoother (BAKS) as the firing rate estimation algorithm and deep learning, particularly quasi-recurrent neural network (QRNN), as the decoding algorithm. We evaluated the proposed method for reconstructing (offline) hand kinematics from intracortical neural data chronically recorded from the primary motor cortex of two non-human primates. Extensive empirical results across recording sessions and subjects showed that the proposed method consistently outperforms other combinations of firing rate estimation algorithm and decoding algorithm. Overall results suggest the effectiveness of the proposed method for improving the decoding performance of MUA-based BMIs

Desain Sistem Rumah Cerdas Berbasis Topologi Mesh Dan Protokol Wireless Sensor Network Yang Efisien

Dalam publikasi ini, kami mengusulkan sistem rumah cerdas berdasarkan dua pendekatan. Pendekatan pertama adalah arsitektur bertopologi mesh dan yang kedua adalah protokol Wireless Sensor Network (WSN) yang efisien. Sistem ini memiliki dua lingkungan kerja, indoor dan outdoor. Lingkungan indoor menggunakan sistem WSN, sedangkan lingkungan luar menggunakan sistem internet-cloud. Skema ini dikenal sebagai Internet-of-Things (IoT). Lingkungan indoor dan outdoor terhubung satu sama lain dengan menggunakan suatu jembatan penghubung. Sistem WSN dibentuk dari komponen-komponen WSN yang menggunakan topologi mesh. Setiap komponen dari WSN dirancang untuk mengimplementasikan protokol data efisien yang diusulkan. Untuk lingkungan outdoor, sistem internet-cloud yang ada adalah infrastruktur utama. Dengan demikian, sistem rumah cerdas ini dapat dipantau dan dikendalikan dari ponsel cerdas, kapan saja dan di mana saja, selama akses mobile data tersedia. Untuk evaluasi sistem, beberapa tes telahdilakukan untuk mendapatkan profil sistem

Noise and Bandwidth Consideration in Designing Op-Amp Based Transimpedance Amplifier for VLC

In a visible light communication (VLC) system, there are many modules involved. One of the important modules is Transimpedance Amplifier (TIA) that resides in the analog front-end receiver (Rx-AFE). TIA is responsible for performing signal conversion from current signal, which is provided from the photodiode (PD) to voltage signal. It is the reason why the TIA should be operating in low noise condition and wide bandwidth of frequency. These will enable a flexible coverage of the VLC system in performing its signal processing. Hence, in this research, we provide considerations of the noise and frequency bandwidth analysis in designing TIA to cope with the required design specification of a VLC system