Effectively teaching introductory media signal processing (MSP) to students requires a means of communicating complex concepts without advanced mathematics. At the mediaarts and technologyprogram at UCSB we are teac...
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We present a hybrid classification method applicable to gesture recognition. The method combines elements of Hidden Markov Models (HMM) and various Dynamic programming Alignment (DPA) methods, such as edit distance, s...
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Effectively teaching introductory media signal processing (MSP) to students requires a means of communicating complex concepts without advanced mathematics. At the mediaarts and technologyprogram at UCSB we are teac...
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Effectively teaching introductory media signal processing (MSP) to students requires a means of communicating complex concepts without advanced mathematics. At the mediaarts and technologyprogram at UCSB we are teaching graduate mediaarts students concepts of MSP. These students, while interested in learning how their digital tools work, have an incredibly tough time working through the material the way traditional engineering students do. To address this we have used MATLAB to build a comprehensive suite of exploratory demonstrations and applications tailored to illustrate sophisticated concepts, and to inspire students that may not possess a strong background in mathematics. Our application, "Signals and Systems using MATLAB" (SSUM), is presented here, and its use in a course designed to teach MSP to mediaarts students is discussed. Its usefulness extends beyond mediaarts to engineering and computer science curriculum. SSUM can be obtained for free from http://***/***
We investigate the issues in voice communications over tandem heterogeneous network connections which require multiple source decoding/encoding operations. While it is known from speech coding research that tandem con...
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ISBN:
(纸本)0780383796
We investigate the issues in voice communications over tandem heterogeneous network connections which require multiple source decoding/encoding operations. While it is known from speech coding research that tandem connections of different speech coders can extract a substantial performance penalty, it is shown that the use of error concealment and source re-encoding can improve system performance in the presence of channel impairments such as bit errors and packet losses. A new protocol is proposed for wireless LANs that reduces retransmissions and discarded packets, and hence reduces system delay and facilitates packet loss concealment.
In MEMO systems, where multiple antennas are used at both transmitter and receiver to achieve high spectral efficiency, channel impulse reponses are often assumed to be constant over a block or packet This assumption ...
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ISBN:
(纸本)0780379381
In MEMO systems, where multiple antennas are used at both transmitter and receiver to achieve high spectral efficiency, channel impulse reponses are often assumed to be constant over a block or packet This assumption of block stationarity on channels is valid for most fixed wireless scenarios. However, for communications in a high mobility environment, the assumption will result in considerable performance degradation. In this paper, we focus on channel estimation for a MIMO system with OFDM transmission technique. In our system, pilots are placed on NP subcarriers for a novel channel estimation at the receiver with Kalman filters. With the channels estimated by a Kalman filter, we apply the QRD-M algorithm for suboptimal data detection with reasonable computational cost The outputs of data detection are fed back to another Kalman filter for an improved channel estimation. By alternatively and iteratively using these two Kalman filters, a better channel estimation can be obtained. A simulation result of the bit error rate shows the improvement of 10 dB in SNR with four iterations over non-iteration.
In this paper, we propose an algorithm for robust 3D motion estimation of wide baseline cameras from noisy feature correspondences. The posterior probability density function of the camera motion parameters is represe...
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We investigate the issues in voice communications over tandem heterogeneous network connections, which require multiple source decoding/encoding operations. While it is known from speech coding research that tandem co...
详细信息
We investigate the issues in voice communications over tandem heterogeneous network connections, which require multiple source decoding/encoding operations. While it is known from speech coding research that tandem connections of different speech coders can extract a substantial performance penalty, it is shown that the use of error concealment and source re-encoding can improve system performance in the presence of channel impairments such as bit errors and packet losses. A new protocol is proposed for wireless LANs that reduces retransmissions and discarded packets, and hence reduces system delay and facilitates packet loss concealment.
In MIMO systems, where multiple antennas are used at both transmitter and receiver to achieve high spectral efficiency, channel impulse responses are often assumed to be constant over a block or packet. This assumptio...
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In MIMO systems, where multiple antennas are used at both transmitter and receiver to achieve high spectral efficiency, channel impulse responses are often assumed to be constant over a block or packet. This assumption of block stationarity on channels is valid for most fixed wireless scenarios. However, for communications in a high mobility environment, the assumption will result in considerable performance degradation. In this paper, we focus on channel estimation for a MIMO system with OFDM transmission technique. In our system, pilots are placed on N/sub P/ subcarriers for a novel channel estimation at the receiver with Kalman filters. With the channels estimated by a Kalman filter, we apply the QRD-M algorithm for suboptimal data detection with reasonable computational cost. The outputs of data detection are fed back to another Kalman filter for an improved channel estimation. By alternatively and iteratively using these two Kalman filters, a better channel estimation can be obtained. A simulation result of the bit error rate shows the improvement of 10 dB in SNR with four iterations over noniteration.
Multimodal sensing has attracted much attention in solving a wide range of problems, including target detection, tracking, classification, activity understanding, speech recognition, etc. In surveillance applications,...
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Multimodal sensing has attracted much attention in solving a wide range of problems, including target detection, tracking, classification, activity understanding, speech recognition, etc. In surveillance applications, different types of sensors, such as video and acoustic sensors, provide distinct observations of ongoing activities. We present a fusion framework using both video and acoustic sensors for vehicle detection and tracking. In the detection phase, a rough estimate of target direction-of-arrival (DOA) is first obtained using acoustic data through beam-forming techniques. This initial DOA estimate designates the approximate target location in video. Given the initial target position, the DOA is refined by moving target detection using the video data. Markov chain Monte Carlo techniques are then used for joint audio-visual tracking. A novel fusion approach has been proposed for tracking, based on different characteristics of audio and visual trackers. Experimental results using both synthetic and real data are presented. Improved tracking performance has been observed by fusing the empirical posterior probability density functions obtained using both types of sensors.
We investigate the issues in voice communications using IP over tandem connections of wireline and wireless links with the goal of determining end-to-end system performance. We study the particular example of using G....
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We investigate the issues in voice communications using IP over tandem connections of wireline and wireless links with the goal of determining end-to-end system performance. We study the particular example of using G.711 speech coding in the backbone wireline network and Adaptive Multi-rate (AMR) speech coding in a wireless LAN tandem network and study the impact of specific methods of adaptive re-encoding, error concealment, error control coding, and network protocol design to deliver the desired end-to-end quality of service. In addition to simulation results and objective speech quality measures, we present estimation-theoretic and information-theoretic analyses for the tandem packet loss link connections.
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