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检索条件"主题词=iterative algorithm"

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iterative ZERO PHASE METHOD FOR WHITE AND IMPULSE NOISE REDUCTION 22

ITERATIVE ZERO PHASE METHOD FOR WHITE AND IMPULSE NOISE REDU...

引用

2017 22nd International Conference on Digital Signal Processing (DSP)

作者： Tanaka, Akira Kawamura, Arata Hokkaido Univ Div Comp Sci & Informat Technol Kita Ku N14W9 Sapporo Hokkaido 0600814 Japan Osaka Univ Grad Sch Engn Sci Machikaneyama Chou 1-3 Toyonaka Osaka 5608531 Japan

ISBN: (纸本)9781538618950

In this paper, we introduce an improved version of the recent noise reducer named zero phase method which can reduce white and impulse noises simultaneously without a priori information. The key idea of the proposed method is to apply the zero phase method iteratively, whose theoretical justification is also provided in this paper. We also confirm the noise reduction performance of the proposed method by comparing with popular noise reducers, such as the spectral subtraction, the Wiener filter, and the MMSE-STSA in oracle settings.

关键词： noise reduction white noise impulse noise zero phase signal analysis iterative algorithm

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GEOMETRICAL INTERPRETATION AND IMPROVEMENTS OF THE BLAHUT-ARIMOTO'S algorithm

GEOMETRICAL INTERPRETATION AND IMPROVEMENTS OF THE BLAHUT-AR...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Naja, Ziad Alberge, Florence Duhamel, Pierre Univ Paris Sud L2S 3 Rue Johot Curie F-91192 Gif Sur Yvette France Univ Paris Sud CNRS F-91192 Gif Sur Yvette France

ISBN: (纸本)9781424423538

The paper first recalls the Blahut Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels, as an example of an iterative algorithm working with probability density estimates. Then, a geometrical interpretation of this algorithm based on projections onto linear and exponential families of probabilities is provided. Finally, this understanding allows also to propose to write the Blahut-Arimoto algorithm, as a true proximal point algorithm. it is shown that the corresponding version has an improved convergence rate, compared to the initial algorithm, as well as in comparison with other improved versions.

关键词： iterative algorithm Blahut-Arimoto algorithm Geometrical interpretation Convergence speed Proximal point method

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Reducing the Noise Impact of Small Aircraft through Indirect Trajectory Optimization

Reducing the Noise Impact of Small Aircraft through Indirect...

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AIAA Aviation Forum

作者： Galles, Matthew B. Newman, Brett NASA Langley Res Ctr Struct Acoust Branch MS 463 Hampton VA 23681 USA Old Dominion Univ Dept Mech & Aerosp Engn Norfolk VA 23529 USA

ISBN: (数字)9781624105982

ISBN: (纸本)9781624105982

This research examined the feasibility of incorporating an acoustic metric into the optimization of an aircraft trajectory to reduce the noise experienced by an observer. The method investigated a perturbed path of an unmanned aerial system with specified boundary conditions on position and velocity while maintaining a nominal flight speed. An acoustic model based on Gutin's work was developed to estimate propeller noise as a function of flight parameters, propulsion characteristics, and spatial location. A trajectory was then optimized a priori to reduce the noise experienced by an observer. Multiple simulations were performed and results showed that integrating an acoustic metric into the path planning process could be used to reduce the noise impact on an observer with no perturbation to the nominal flight speed.

关键词： Pontryagin's Maximum Principle Aircrafts Propeller Noise Real Time Path Planning Aircraft Trajectory Unmanned Aerial Systems Overall Sound Pressure Level Flight Control System iterative algorithm Flight Trajectory

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A further discussion on the saddle point programming

A further discussion on the saddle point programming

引用

International Conference on Machine Learning and Cybernetics

作者： Wang, RS Ha, MH Wang, XZ Chinese Acad Sci Acad Math & Syst Sci Beijing 100080 Peoples R China

This paper points out a mistake in literature[1] and gives the mathematical model of saddle point programming with equality constraints and its optimality conditions. Then, a special saddle point programming model-bil... 详细信息

ISBN: (纸本)0780378652

关键词： saddle point programming optimality conditions bitinear saddle point programming iterative algorithm

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A Novel iterative Interference Alignment Scheme Via Convex Optimization for the MIMO Interference Channel

A Novel Iterative Interference Alignment Scheme Via Convex O...

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IEEE 72nd Vehicular Technology Conference Fall 2010

作者： Shen, Hui Li, Bin Huawei Technol Dept Commun Technol Res Shenzhen Peoples R China

ISBN: (纸本)9781424435746

In this paper, we propose a novel interference alignment (IA) scheme via convex optimization based on minimum mean square error criterion subject to individual transmit power constraints for the MIMO interference channel system. We show that transceiver under such criterion can be realized through an efficient iterative algorithm. The convergence of the proposed algorithm is discussed. Simulation results show that the proposed scheme outperforms the existing IA schemes with fast convergence.

关键词： MIMO interference channel interference alignment convex optimization iterative algorithm

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Suppression of Aliasing Errors Introduced by Non-Ideal Mixers and Spectrum Partitioning Methods in the FI-DAC System

Suppression of Aliasing Errors Introduced by Non-Ideal Mixer...

引用

IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

作者： Wang, Yixiao Liu, Shengjian Meng, Shengwei Liu, Liansheng Harbin Inst Technol Sch Elect & Informat Engn Harbin Peoples R China Harbin Inst Technol Zhengzhou Res Inst Sch Elect & Informat Engn Harbin Peoples R China

ISBN: (纸本)9798350380903;9798350380910

With the growing demands for increased bandwidth in arbitrary waveform generator, the Frequency-Interleaved Digital to Analog Converter (FI-DAC) technology plays a crucial role in enhancing the output bandwidth of individual DAC chips. Based on a dual-DAC chip and band interleaving techniques, the research addresses the issue of aliasing errors resulting from the non-ideal performance of practical analog circuits. By modeling the aliasing errors in the system and the non-ideal characteristics of the hardware, the article aims to minimize aliasing errors while achieving maximum bandwidth output, in compliance with the sampling theorem. The process includes filter selection, determination of sub-band division points for two signal paths, and the system's maximum output bandwidth. Finally, the local oscillator frequency for the mixer is determined. In a simulated environment accounting for actual hardware error components, this study employs a 7th-order elliptic filter with 50 dB aliasing suppression. With two DAC chips operating at a 5 GSa/s sampling rate, the system achieves 3.992 GHz signal output. Under the constraint of employing two 5 GSa/s DACs, this method results in a 59.68% increase in output bandwidth compared to a single DAC output.

关键词： FI-DAC analog filter aliasing suppression iterative algorithm

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A robust embedded vision system feasible white balance algorithm

A robust embedded vision system feasible white balance algor...

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International Conference on Optical Instruments and Technology (OIT) / 6th Conference of Optical Systems and Modern Optoelectronic Instruments

作者： Wang, Yuan Yu, Feihong Zhejiang Univ Coll Opt Sci & Engn Hangzhou Zhejiang Peoples R China

ISBN: (数字)9781510617445

ISBN: (纸本)9781510617445;9781510617438

White balance is a very important part of the color image processing pipeline. In order to meet the need of efficiency and accuracy in embedded machine vision processing system, an efficient and robust white balance algorithm combining several classical ones is proposed. The proposed algorithm mainly has three parts. Firstly, in order to guarantee higher efficiency, an initial parameter calculated from the statistics of R, G and B components from raw data is used to initialize the following iterative method. After that, the bilinear interpolation algorithm is utilized to implement demosaicing procedure. Finally, an adaptive step adjustable scheme is introduced to ensure the controllability and robustness of the algorithm. In order to verify the proposed algorithm's performance on embedded vision system, a smart camera based on IMX6 DualLite, IMX291 and XC6130 is designed. Extensive experiments on a large amount of images under different color temperatures and exposure conditions illustrate that the proposed white balance algorithm avoids color deviation problem effectively, achieves a good balance between efficiency and quality, and is suitable for embedded machine vision processing system.

关键词： White balance Raw data iterative algorithm Embedded vision processing system

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Sending image information to its Fourier phase and its use toward image recognition 19

Sending image information to its Fourier phase and its use t...

引用

Conference on Applications of Digital Image Processing XIX

作者： Fahimi, H Stanford Univ. (United States)

ISBN: (纸本)0819422355

An iterative algorithm has been presented that sends the information of a real and non-negative image to its Fourier phase. The result is a complex image with uniform amplitude in the Fourier domain. Thus in the frequency domain all the information is in the phase and the amplitude is a constant for all frequencies. In the space domain the image, although complex, has the desired property of having an absolute value the same as the original real image. Matched filtering is a common procedure for image recognition with the conjugate of the Fourier transform of the model(desired image) being the frequency response of the filter. It is shown that using these new complex images instead of the ordinary real images makes the output of the filter very peaked in the case of a match and widely spread in the case of a mis-match. Thus the new filter has a highly superior performance over the conventional matched filtering. It is also shown that due to the above properties the new filter performs very well when filter's input is highly corrupted by additive noise.

关键词： spectrum leveling phase-only filter image recognition matched filtering iterative algorithm

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A helicopter view of the self-consistency framework for wavelets and other signal extraction methods in the presence of missing and irregularly spaced data

A helicopter view of the self-consistency framework for wave...

引用

Conference on Wavelets XII

作者： Meng, Xiao-Li Harvard Univ Dept Stat Cambridge MA 02138 USA

ISBN: (纸本)9780819468499

A common frustration in signal processing and, more generally, information recovery is the presence of irregularities in the data. At best, the standard software or methods will no longer be directly applicable when data are missing, incomplete or irregularly spaced (e.g., as with wavelets). Self-consistency is a very general and powerful statistical principle for dealing with such problems. Conceptually it is extremely appealing, for it is essentially a mathematical formalization of iterating common-sense "trial-and-error" methods until no more improvement is possible. Mathematically it is elegant, with one fixed-point equation to solve and a general projection theorem to establish optimality. Practically it is straightforward to program because it directly uses the regular/complete-data method for iteration. Its major disadvantage is that it can be computationally intensive. However, increasingly efficient (approximate) implementations are being discovered, such as for wavelet de-noising with hard and soft thresholding. This brief overview summarizes the author's keynote presentation on those points, based on joint work with Thomas Lee on wavelet applications and with Zhan Li on the theoretical properties of the self-consistent estimators.

关键词： EM algorithm information recovery iterative algorithm multiple imputation non-parametric regression semi-parametric regression signal processing

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Robust Training Sequence Design for Spatially Correlated MIMO Channels and Arbitrary Colored Disturbance

Robust Training Sequence Design for Spatially Correlated MIM...

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22nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Shariati, Nafiseh Bengtsson, Mats KTH Royal Inst Technol Sch Elect Engn ACCESS Linnaeus Ctr Stockholm Sweden

ISBN: (纸本)9781457713484

In this paper, we study the design of optimal robust training sequences for multiple-input multiple-output (MIMO) channel estimation, based on known second order statistics of both the channel and the colored disturbance, but with an uncertainty in the channel covariance matrix. More specifically, the training sequences are designed by taking the least-favorable channel covariance component into account throughout an iterative algorithm. Numerical experiments are carried out to demonstrate the performance gained by employing the proposed design procedure and to compare it with other relevant schemes.

关键词： Channel estimation Covariance matrix Eigenvalues and eigenfunctions MIMO MIMO communication Optimization Robustness Training channel covariance matrix channel estimation channel estimation colored disturbance covariance matrices iterative algorithm iterative methods multiple-input multiple-output channel robust training sequence design second order statistics spatially correlated MIMO channel statistical analysis

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