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148
Static Scheduling of Synchronous Data Flow Programs for Digital Signal Processing
- IEEE TRANSACTIONS ON COMPUTERS
, 1987
"... Large grain data flow (LGDF) programming is natural and convenient for describing digital signal processing (DSP) systems, but its runtime overhead is costly in real time or cost-sensitive applications. In some situations, designers are not willing to squander computing resources for the sake of pro ..."
Abstract
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Cited by 598 (37 self)
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of program-mer convenience. This is particularly true when the target machine is a programmable DSP chip. However, the runtime overhead inherent in most LGDF implementations is not required for most signal processing systems because such systems are mostly synchronous (in the DSP sense). Synchronous data
EDICS: DSP-RECO Bayesian Compressive Sensing
"... The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be reconstructed accurately using only a small number M ≪ N of basis-function coefficients associated with B. Compressive sensing ..."
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The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be reconstructed accurately using only a small number M ≪ N of basis-function coefficients associated with B. Compressive sensing
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones
"... The rapidly growing adoption of sensor-enabled smart-phones has greatly fueled the proliferation of applications that use phone sensors to monitor user behavior. A central sensor among these is the microphone which enables, for in-stance, the detection of valence in speech, or the identifica-tion of ..."
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, we propose DSP.Ear – an inte-grated sensing system that takes advantage of the latest low-power DSP co-processor technology in commodity mobile devices to enable the continuous and simultaneous operation of multiple established algorithms that perform complex au-dio inferences. The system extracts
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones
"... The rapidly growing adoption of sensor-enabled smart-phones has greatly fueled the proliferation of applications that use phone sensors to monitor user behavior. A central sensor among these is the microphone which enables, for in-stance, the detection of valence in speech, or the identifica-tion of ..."
Abstract
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, we propose DSP.Ear – an inte-grated sensing system that takes advantage of the latest low-power DSP co-processor technology in commodity mobile devices to enable the continuous and simultaneous operation of multiple established algorithms that perform complex au-dio inferences. The system extracts
Stability and instance optimality for Gaussian measurements in compressed sensing http://www.dsp.ece.rice.edu/cs
"... In compressed sensing we seek to gain information about vector x ∈ R N from d << N nonadaptive linear measurements. Candes, Donoho, Tao et. al. ( see e.g. [2, 4, 8]) proposed to seek good approximation to x via ℓ1 minimisation. In this paper we show that in the case of Gaussian measurements it ..."
Abstract
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Cited by 41 (4 self)
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In compressed sensing we seek to gain information about vector x ∈ R N from d << N nonadaptive linear measurements. Candes, Donoho, Tao et. al. ( see e.g. [2, 4, 8]) proposed to seek good approximation to x via ℓ1 minimisation. In this paper we show that in the case of Gaussian measurements
Parallel Interleaving On Parallel Dsp Architectures
, 2002
"... Today's communications systems especially in the field of wireless communications rely on many different algorithms to provide applications with constantly increasing data rates and higher quality. This development combined with the wireless channel characteristics as well as the invention of t ..."
Abstract
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Cited by 2 (2 self)
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function of the degree of parallelism of the hardware is presented. The parallelization is generic in the sense that the assumed underlying hardware is based on a parallel datapath DSP architecture and therefore provides the flexibility of software solutions.
An Experimental Architecture for Interactive Web-based DSP Education
- In International Conference on Acoustics, Speech and Signal Processing (ICASSP98
"... This paper describes an experimental architecture for interactive education of DSP in the World Wide Web environment. The architecture is based on a client-server model providing means of distributing resources. The major design goal has been to combine interactivity and computational resources. The ..."
Abstract
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Cited by 4 (3 self)
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. The architecture itself is open in a sense that it does not specify implementation and it can be used for a variety of applications. Computer Based Education (CBE) of DSP is one area where it can be beneficially applied. An example of implementation for that purpose is presented. With our implementation, special
Content-Based Image Retrieval and Completion in DSP
"... Analyzing the limitations which exist in content-based image retrieval (CBIR) systems on optimization model, generalization design and retrieval efficiency, a combinative model based on image features correlation retrieval is designed, using some proper algorithms of image retrieval, relevance feedb ..."
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feedback principle and the advantage of DSP chip in image signal processing. The work mode is useful for retrieving the specific images in large image database (e.g. remote sensing images in GIs) or general images in Internet. The rationality of the new scheme is validated by experimental results. 1
A 24 BIT DSP FOR STACK-RUN CODEC †
"... Stack-run is a recent lossless method of compression developped for low bit rate coding. It plays the same role as the conventional run length codec, in the sense it also exploits zeros resulted from quantization. However, stack-run coding outperforms run length coding in terms of rate-distortion tr ..."
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Stack-run is a recent lossless method of compression developped for low bit rate coding. It plays the same role as the conventional run length codec, in the sense it also exploits zeros resulted from quantization. However, stack-run coding outperforms run length coding in terms of rate
Simulation of errors in floating-point DSP calculations
, 2010
"... Abstract-Quantization errors like ADC errors and roundoff errors are similar in the sense that they are difficult to analyze and predict, and therefore need careful tests/measurements. This paper discusses the possibilities of the simulation of single-precision floating-point roundoff errors. It ill ..."
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Abstract-Quantization errors like ADC errors and roundoff errors are similar in the sense that they are difficult to analyze and predict, and therefore need careful tests/measurements. This paper discusses the possibilities of the simulation of single-precision floating-point roundoff errors
Results 1 - 10
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148
