We present a tier 2 Software Defined-Radio platform (SDR), built around the latest Sandbridge Technologies’ multithreaded Digital Signal Processor (DSP) SB3500, along with the description of major design steps taken to ensure the best radio link and computational performance. This SDR platform is capable of executing 4G wireless communication standards such as WiMAX Wave 2, WLAN 802.11 g, and L...

The latest Research Trend in wireless communication is implementing wireless system on SDR (Software Define Radio), so the SDR implementation of MIMO-OFDM receiver with channel state information is presented in this paper. Here we use Xilinx 13.1 Spartan 3 xc3s400pq208 FPGA device. The simulation results are obtained for 2x2 MIMO-OFDM receiver system in which we have implemented channel estimat...

In this paper, we describe spoken document retrieval systems in Ryukoku University, which were participated in NTCIR-9 IR for Spoken Documents (“SpokenDoc”) task. In NTCIR-9 “SpokenDoc” task, there are two subtasks: “Spoken term detection (STD) subtask” and “Spoken document retrieval (SDR) subtask”. We participated in the both subtasks as team RYSDT. In this paper, first, our STD systems are de...

The specificity-determining residue database (SDR database) presents residue positions where mutations are predicted to have changed protein function in large protein families. Because the database pre-calculates predictions on existing protein sequence alignments, users can quickly find the predictions by selecting the appropriate protein family or searching by protein sequence. Predictions ca...

We develop a computationally efficient approximation of the maximum likelihood (ML) detector for 16 Quadrature Amplitude Modulation (16QAM) in multiple input multiple output (MIMO) systems. The detector is based on a semi definite relaxation (SDR) of the ML problem. The resulting optimization is a semi definite program (SDP) which can be solved in polynomial time with respect to the number of i...

In this paper, a new semi-definite programming approach is devised for approximating nonlinear estimation problems. The main idea is to include the noise components as parameters of interests, which increases the flexibility in the convex optimization formulation. Using the source localization as an illustration, we develop semi-definite relaxation (SDR) positioning algorithms using angle-of-ar...

In this paper, we presented a theoretical result and then discussed possible applications of our result to SDR problems. In addition to providing insights into existing SDR methods when Y is univariate; our theorem also applies to multivariate responses, especially when the response takes the form of ðY ;W Þ, where Y is a continuous variable and W is categorical. r 2007 Elsevier B.V. All rights...

This paper describes our participation in the TREC-9 Spoken Document Retrieval (SDR) track. The THISL SDR system consists of a realtime version of a hybrid connectionist/HMM large vocabulary speech recognition system and a probabilistic text retrieval system. This paper describes the configuration of the speech recognition and text retrieval systems, including segmentation and query expansion. ...

In this paper we report on our TREC-8 SDR system, which combines an adapted version of the LIMSI 1998 Hub-4E transcription system for speech recognition with an IR system based on the Okapi term weighting function. Experimental results are given in terms of word error rate and average precision for both the SDR’98 and SDR’99 data sets. In addition to the Okapi approach, we also investiged a Mar...

Due to the vast amount and pace of high-dimensional data production, dimensionality reduction emerges as an important requirement in many application areas. In this paper, we introduce X-SDR, a prototype designed specifically for the deployment and assessment of dimensionality reduction techniques. X-SDR is an integrated environment for dimensionality reduction and knowledge discovery that can ...