There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing t...
详细信息
ISBN:
(纸本)9781665405409
There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the entire block. With residual coding technology becoming more and more sophisticated, the corresponding bit rate models require more advanced features. In this work, we propose a set of four features together with a linear model, which is able to estimate the rate of arbitrary residual blocks which were compressed using the VVC standard. Our method outperforms other methods which were used for the same task both in terms of mean absolute error and mean relative error. Our model deviates by less than 4 bit on average over a large dataset of natural images.
In this paper,wavelet transform of vibration signal of CNC machine tool is performed based on Python programming *** transform function in PyWavelets library,the signal is decomposed into sub-signals of different *** ...
详细信息
Gravitational-wave (GW) observations with a network of more than two advanced detectors open the possibility of reconstructing the two polarizations predicted by General Relativity. We propose to address this problem ...
详细信息
ISBN:
(纸本)9789082797015
Gravitational-wave (GW) observations with a network of more than two advanced detectors open the possibility of reconstructing the two polarizations predicted by General Relativity. We propose to address this problem using sparsity promoting regularizations. We consider a variety of techniques, including "structured sparsity" that allows to explicitly model the intrinsic clustering effect occurring in the time-frequency representation of GW transient signals. The proposed methods are evaluated with simulated GW signals and real-world noise. Numerical simulations show the advantages of the proposed approaches.
This paper discusses the optimization of the H.264/AVC video encoder in the context of a modified software implementation on a Texas Instruments TMS320DM642 digital signal processor. Several algorithmic optimizations ...
详细信息
ISBN:
(纸本)9781424432974
This paper discusses the optimization of the H.264/AVC video encoder in the context of a modified software implementation on a Texas Instruments TMS320DM642 digital signal processor. Several algorithmic optimizations are proposed to improve time critical parts of the codec like the quantization step and the pixel interpolation. The algorithms proposed in this paper invoke the Enhanced Direct Memory Access (EDMA) Controller, intrinsics and look-up tables to accelerate the encoding and do not affect the image Peak signal-to-Noise Ratio (PSNR) or compression performance. The computational acceleration gain of these algorithms are the foundation of our real time 30 CIF frames/second baseline implementation.
This paper presents the methodology and assessment of the passive and active sensor feature selection algorithms of interest to the Discriminating Interceptor Technology Program (DITP), as applied to aimpoint selectio...
详细信息
ISBN:
(纸本)0819428221
This paper presents the methodology and assessment of the passive and active sensor feature selection algorithms of interest to the Discriminating Interceptor Technology Program (DITP), as applied to aimpoint selection. The analysis identifies the performance achieved by utilizing individual sensor features and multi-sensor feature fusion. Traditional methods of determining the proper aimpoint have depended upon identifying target characteristics such as the geometric centroid, radiometric centroid, leading edge, and the trailing edge. Once these target points have been defined, the final aimpoint is selected by adding a bias to the target characteristic. However, these and similar algorithms have shown sensitivity to a priori knowledge of the threat, such as aspect angle, target length, thermal and dynamic characteristics. This paper will assess the utility of multi-sensor disparate sensor data to decrease performance sensitivity to a priori knowledge of the threat. These algorithms are among the feature selection algorithms in use in the DITP program for passive and active fused sensor discrimination. The analysis utilizes simulated infrared and ladar sensor data of a conical body that is initially at sufficient range to be realized as a slightly extended source on the focal plane, and then advanced through the later phase of the engagement to the point where the target is relatively close and highly resolved. The measures of performance consist of evaluating the deviations of the estimated aimpoint versus range to target, orientation angle, and aspect angle, for the feature selection algorithms considered.
The use of machine learning techniques to characterize lasers with low output power is reviewed. Optimized phase tracking algorithms that can produce accurate noise spectra are discussed, and a method for inferring th...
详细信息
ISBN:
(纸本)9781628414783
The use of machine learning techniques to characterize lasers with low output power is reviewed. Optimized phase tracking algorithms that can produce accurate noise spectra are discussed, and a method for inferring the amplitude noise spectrum and rate equation model of the laser under test is presented.
In recent years, the Fast Fourier Transform (FFT) has been playing a very important role in the design and implementation of the discrete-time signalprocessing system. Therefore, various FFT algorithms have been prop...
详细信息
ISBN:
(纸本)8955191294
In recent years, the Fast Fourier Transform (FFT) has been playing a very important role in the design and implementation of the discrete-time signalprocessing system. Therefore, various FFT algorithms have been proposed in this area over the last decades. Especially, the pipeline algorithms have been regarded as suitable algorithms for processing high-speed data. Up to now, several pipeline FFT algorithms such as the Radix-2, the Split-Radix and the Mixed-Radix have been proposed. In this paper, we developed a Mixed-Radix 4-2 Butterfly Structure with simple bit reversing output sequences derived by index decomposition technique which was used in the Radix-21 algorithm. Compared with the Radix-23 algorithm and the Split-Radix 2/4/8 algorithm, the proposed algorithm has the same number of multipliers and the less number of the stages and the butterflies than the Radix-23 and the Split-Radix 2/4/8 algorithm. Moreover, the proposed algorithm makes an offer the simple bit reversing for ordering the output sequences which is only supported by a fixed-radix FFT algorithm.
Multi-robot systems are increasingly utilized for cooperative industrial robot applications. In the scope of this work, a novel approach for the division of robot applications between multiple robots by handling the t...
详细信息
ISBN:
(纸本)9781509060009
Multi-robot systems are increasingly utilized for cooperative industrial robot applications. In the scope of this work, a novel approach for the division of robot applications between multiple robots by handling the tool and the workpiece at the same time is presented. The approach has been tested successfully with a robot setup with two industrial robot arms. It is shown that the processing time can be reduced and the reachability can be improved by the developed approach. In order to compensate complex programming of the cooperative tasks, an automatic programming is also realized. Thus, the programming time can be significantly reduced.
In this paper, a novel technique of a step-size adaptation algorithm for improving the signal-to-noise ratio (SNR) of Adaptive Delta Modulators (ADM) with one-bit quantization is presented. The two existing step-size ...
详细信息
ISBN:
(纸本)9780769536729
In this paper, a novel technique of a step-size adaptation algorithm for improving the signal-to-noise ratio (SNR) of Adaptive Delta Modulators (ADM) with one-bit quantization is presented. The two existing step-size algorithms- SONG and modified ABATE are discussed and also their performance comparison is made. For further improvement in the SNR with the proposed ADM includes an ADM with pre-processed signals which is also described. Large variations in the input signal require larger step sizes. If step size is not increased, it leads to slope-overload error. These large variations in the input signal are removed/smoothened by a suitable pre-processing method, one of which is using an integrator that can smoothen the rapid changes. From simulations it is confirmed that the new step-size algorithm for the ADM with pre-processing (proposed ADM) leads to an improvement in the SNR compared to the conventional ADM.
The development of advancedsignalprocessingalgorithms specifically for Micro/Nano Electro Mechanical Systems (MEMS/NEMS) based sensors has been largely unexplored and can be regarded as the single most important ar...
详细信息
ISBN:
(纸本)9780819466785
The development of advancedsignalprocessingalgorithms specifically for Micro/Nano Electro Mechanical Systems (MEMS/NEMS) based sensors has been largely unexplored and can be regarded as the single most important area for improving the performance of these devices. In this paper we present three classes of algorithms that were created to extract weak signals from devices operating in different sensing modalities. The first, stochastic resonance approach, named Active signalprocessing, depends on improving signal-to-noise ratio (SNR) by injecting noise into the measurement. ViaLogy invented and successfully demonstrated the Quantum Resonance Interferometry (QRI) algorithm, a quantum stochastic resonance (QSR)-based technique for improving SNR. QRI processing involves the QSR-based generation of a Quantum Expressor Function (QEF) for the sensor, encoding within it the noise environment, minimum level of detection, and the precision of measurement. signal detection is achieved by the destruction of the resonance condition responsible for generating the system QEF. The next algorithm, also known as the "swept window" Maximum Aposteriori Probability algorithm, was developed for the case of signals with discrete statistics such as low analyte ion fluxes in mass spectrometers. Finally, a novel, ViaLogy-developed "Multi Scale Estimator" algorithm showed significant improvement over the Allan Deviation behavior of a state-of-the-art MEMS microgyroscope.
暂无评论