2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献_第5页

Color removal method preserving local contrast 颜色去除方法，保留局部对比

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432726

Meng Meng, Shi Bao, G. Tanaka

引用次数: 3

Design of programmable switched-capacitor DC-DC converters with arbitrary conversion ratio 任意转换比可编程开关电容DC-DC变换器的设计

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432781

R. Nicodimus, K. Takeuchi, T. Shima

引用次数: 0

A 250MHz 60dB gain control range 1dB gain step programmable gain amplifier with DC-offset calibration 250MHz 60dB增益控制范围1dB增益步进可编程增益放大器与直流偏置校准

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432770

Youming Zhang, Yang Fei, Z. Peng, F. Huang

{"title":"A 250MHz 60dB gain control range 1dB gain step programmable gain amplifier with DC-offset calibration","authors":"Youming Zhang, Yang Fei, Z. Peng, F. Huang","doi":"10.1109/ISPACS.2015.7432770","DOIUrl":"https://doi.org/10.1109/ISPACS.2015.7432770","url":null,"abstract":"A broadband programmable gain amplifier (PGA) for wireless communication is presented in this paper. The PGA is carried out by improved parallel feedback based flipped voltage follower (FLV) to achieve wide dynamic range of gain, wide bandwidth, as well as low noise and high linearity. It is implemented with a topology consisting of three coarse gain adjustment stages cascaded by a fine gain control stage. The chip also includes novel analog DC-offset calibration (DCOC) units and a digital serial peripheral interface (SPI) to generate the calibration enable and gain control words. By using the bandwidth extension technique, the proposed design obtains a broad 0~60dB linear-in-decibel gain range 1dB gain step with a 3dB bandwidth up to 250MHz. The measured gain error achieves less than 0.3dB, the input 1dB compression point is -1dBm and -61dBm respectively at 0dB and 60dB gain mode, meanwhile the in-band IIP3 is +10.1dBm and -50.2dBm. Fabricated in 0.13μm CMOS process, the PGA has a total area with bonding pads of 0.73×0.55 mm2. The power consumption is 16.6mA from a 1.2V supply including 5mA of the output buffers to diver 50Ω.","PeriodicalId":238787,"journal":{"name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128863076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Blind signal separation using QMF 利用QMF进行盲信号分离

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432743

Kazuaki Matsushima, Tomomi Ogawa, H. Matsumoto

引用次数: 1

HMM-based Indonesian speech synthesis system with declarative and question sentences intonation 基于hmm的印尼语陈述句和反问句语调语音合成系统

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432756

E. Cahyaningtyas, D. Arifianto

引用次数: 4

DLWTS: Distributed Light Weight Time Synchronization for Wireless Sensor Networks 分布式轻量级无线传感器网络时间同步

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432813

Gorkem Bam, E. Dilcan, Bekir Dogan, B. Dinc, B. Tavlı

引用次数: 5

Effective hierarchical optimization using integration of solution spaces and its application to multiple Vehicle Routing Problem 求解空间集成的有效分层优化及其在多车路径问题中的应用

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432805

Shudai Ishikawa, K. Horio, R. Kubota

{"title":"Effective hierarchical optimization using integration of solution spaces and its application to multiple Vehicle Routing Problem","authors":"Shudai Ishikawa, K. Horio, R. Kubota","doi":"10.1109/ISPACS.2015.7432805","DOIUrl":"https://doi.org/10.1109/ISPACS.2015.7432805","url":null,"abstract":"Hierarchical optimization is an optimization method that is divided the problem into several levels of hierarchy. In hierarchical optimization, a complex problem is divided into simpler sub-problems, and each level is optimized independently. Several hierarchical optimization techniques have been proposed, including the hierarchical genetic algorithm (HGA). HGA is organized by multiple genetic algorithms, thereby the computational cost becomes huge depending on the problem. Moreover, the same solution space is searched many times at the upper level, and an unnecessary computational cost takes. In this paper, we propose a new effective searching technique using integration of solution space for hierarchical optimization. The proposed method is based on the Hierarchical multi-space competitive Distributed Genetic Algorithm (HmcDGA), which was proposed by the authors, and the duplicate solution space is integrated at the upper level. The probability of finding optimal solution is improved at lower level, because the population size becomes large by the integration of the solution space. We apply the improved HmcDGA to the multiple Vehicle Routing Problem (mVRP) and show the effectiveness of the proposed method.","PeriodicalId":238787,"journal":{"name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1973 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130069967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Practical resource scheduling in massive-cell deployment for 5G mobile communications systems 5G移动通信系统大规模小区部署中的实用资源调度

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432815

Y. Arikawa, K. Kawai, H. Uzawa, S. Shigematsu

引用次数: 10

Automatic design of RC polyphase filters with small element value spread using genetic algorithm 基于遗传算法的小元值扩散RC多相滤波器的自动设计

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432785

N. Takai, Y. Sugawara, Kento Suzuki, Takayuki Negishi, Hiroaki Seki, Masato Kato

引用次数: 1

Blind image restoration method by PCA-based subspace generation 基于pca的子空间生成盲图像恢复方法

2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2015-11-01 DOI: 10.1109/ISPACS.2015.7432766

Brian Sumali, N. Hamada, Y. Mitsukura

{"title":"Blind image restoration method by PCA-based subspace generation","authors":"Brian Sumali, N. Hamada, Y. Mitsukura","doi":"10.1109/ISPACS.2015.7432766","DOIUrl":"https://doi.org/10.1109/ISPACS.2015.7432766","url":null,"abstract":"Principal Component Analysis (PCA) has been effectively applied for image restoration. Original idea underlying PCA approach has two different roots. One is from the fact that PCA is relevant to variance of pixel intensity by which the missing high frequency components in blurred image should be recovered. The other comes from the idea of source separation based on PCA. In the light of PCA approach we have proposed an image restoration algorithm which contains the following three novel aspects: iterative application of PCA, Gaussian smoothing filtering for image ensemble creation, and no-reference image quality index for iteration number management. This paper aims to investigate and propose a non-iterative PCA-based image restoration with some generalizations. First, through conducted experiments the variance of Gaussian filters as well as the number of created images by them are appropriately determined. Second, weights are introduced to the principal component images. Finally, optimal weights are determined by maximizing the image quality index with no reference. Experimental results by the proposed method provide higher PSNR than the previous iterative PCA approach.","PeriodicalId":238787,"journal":{"name":"2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2