{"title":"Comparing DSP realizations of correlator and SVM receivers for chaos-based multi-user DS-SS","authors":"R. Vali, J. Kao","doi":"10.1109/ICDSP.2014.6900708","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900708","url":null,"abstract":"This contribution presents a comparison between two realizations of chaos-based multi-user direct-sequence spread spectrum (DS-SS) system in digital signal processor (DSP) technology. The first realization is a conventional correlator receiver and the second is a new support vector machine (SVM) receiver. The two realizations were aimed at examining the tradeoffs between the two receiver types and their suitability for implementation in large scale wireless communication networks. The performance benchmarks used are the bit-error-rate (BER) and system speed. In both systems the information is spread using chaotic sequences resulting in physical layer security in the time and frequency domains. The hardware platform chosen was a 32-bit floating-point TigerSHARC DSP which proved to be sufficient for the representation of chaos-based spreading codes. Both implementations show excellent agreement with the previous theoretical findings in terms of BER performance. This agreement of results proves that the finite number resolution of the DSP does not have a significant effect on the system performance. Overall it is shown that the SVM receiver outperforms the correlator receiver in terms of the BER. However this improvement is at the expense of the processing speed.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114903849","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}
Yanchao Gong, Shuai Wan, Kaifang Yang, Bo Li, H. Wu
{"title":"Perception-based quantitative definition of temporal pumping artifact","authors":"Yanchao Gong, Shuai Wan, Kaifang Yang, Bo Li, H. Wu","doi":"10.1109/ICDSP.2014.6900792","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900792","url":null,"abstract":"Temporal noises or distortions, such as flickering, jerkiness, and mosquito noise, have been studied for many years in video coding, but a completely mathematical definition describing the perception characters of these temporal noises has not been investigated nor established. In this paper, a distinct type of temporal coding distortion, i.e., the temporal pumping artifact (TPA) is addressed, which manifests itself as visually annoying pumping and stumbling effects caused by applying inappropriate quantization parameter assignment in the state-of-the-art video coding standards with the hierarchical prediction structure. In this paper, the TPA is treated as a spatio-temporal signal and a detailed and comprehensive perception-based quantitative definition in terms of its phase, amplitude, and frequency, respectively is given for the fist time. It is both useful for understanding, or proposing algorithms to alleviate, or even eliminate the TPA and useful for the related studies for other temporal noises or distortions.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088289","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}
{"title":"Bicomplex-valued adaptive filtering with application to wind profile prediction","authors":"Xiaoming Gou, Zhiwen Liu, Zheyi Fan, Yougen Xu","doi":"10.1109/ICDSP.2014.6900695","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900695","url":null,"abstract":"A variant of the least mean squares (LMS) filtering algorithm is proposed based on bicomplex numbers. Experiments on recorded data for wind profile prediction show its comparable or accelerated convergence rate compared with quaternion-based approaches. The benefits of further exploitation of bicomplex numbers can be projected, including frequency-domain methods and augmented model-based methods.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"93 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121004754","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}
Yi Zhao, Jing Wang, Lidong Yang, Ali Imtiaz, Jingming Kuang
{"title":"Multi-channel audio signal retrieval based on multi-factor data mining with tensor decomposition","authors":"Yi Zhao, Jing Wang, Lidong Yang, Ali Imtiaz, Jingming Kuang","doi":"10.1109/ICDSP.2014.6900766","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900766","url":null,"abstract":"In this paper, an efficient method of multi-channel audio signal retrieval with finite number of channels is proposed based on multi-factor data mining with tensor decomposition. We briefly discuss how to convert the limited channels to an increased number of channels (multi-channel) by capturing the latent higher-order tensor structure of multi-channel audio data. The multi-channel audio data space is established mainly due to three factors including location, channel and time-frequency. Moreover, CANDECOMP/PARAFAC (CP) decomposition is introduced in the process of multi-factor data mining to predict the data in the missing channels. Besides, considering human auditory effects at low frequency, we compute a set of data in advance for the retrieval of Low Frequency Effects (LFE) channel. The performance of the proposed method is assessed by MUlti-Stimulus test with Hidden References and Anchor listening test (MUSHRA). We further demonstrate the retrieval of 5.1 multi-channel audio from stereo audio. Experiments show that an acceptable converting quality has been achieved and the novel tensor-based method is easy to implement as compared to the traditional method.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134635957","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}
{"title":"A multi-parameter optimization approach for complex continuous sparse modelling","authors":"É. Chouzenoux, J. Pesquet, A. Florescu","doi":"10.1109/ICDSP.2014.6900780","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900780","url":null,"abstract":"The main focus of this work is the estimation of a complex valued signal assumed to have a sparse representation in an uncountable dictionary of signals. The dictionary elements are parameterized by a real-valued vector and the available observations are corrupted with an additive noise. By applying a linearization technique, the original model is recast as a constrained sparse perturbed model. The problem of the computation of the involved multiple parameters is addressed from a nonconvex optimization viewpoint. A cost function is defined including an arbitrary Lipschitz differentiable data fidelity term accounting for the noise statistics, and an ℓ0-like penalty. A proximal algorithm is then employed to solve the resulting nonconvex and nonsmooth minimization problem. Experimental results illustrate the good practical performance of the proposed approach when applied to 2D spectrum analysis.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485205","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}
Seung Hun Kim, Jae Jin Jeong, Gyogwon Koo, Sang Woo Kim
{"title":"Variable step-size affine projection algorithm for a non-stationary system","authors":"Seung Hun Kim, Jae Jin Jeong, Gyogwon Koo, Sang Woo Kim","doi":"10.1109/ICDSP.2014.6900824","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900824","url":null,"abstract":"Affine projection algorithm (APA) has advantages when input signals are highly correlated with each other. To improve convergence rate and steady-state mean square deviation (MSD) of the APA, the step size variation concept based on theoretical MSD has been researched. However, structurally, the APA based on theoretical MSD cannot track the system change without the reset algorithm. The problem is, the reset algorithm would not operate when the system change occurs at early iteration. To overcome this drawback, we propose the variable step size APA attaching the noise-error relation. We apply it to a recent variable step-size APA, which is the optimal step-size APA (OS-APA), then the simulation results show that the proposed APA tracks the system change well without the reset algorithm, and has similar performance compared to the OS-APA for all iterations.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132076749","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}
{"title":"Liquid level detector for a sealed gas tank based on spectral analysis","authors":"Hsien-Huang P. Wu, Zong-Hao Yang","doi":"10.1109/ICDSP.2014.6900793","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900793","url":null,"abstract":"While several methods using ultrasonic, acoustic or RF waves have been proposed to measure the liquid level of a sealed container, they all need to install a transmitter and receiver pair inside the top of the tank. In this paper, we propose a simpler method which provides continuous measurement by installing a knocking device outside the tank. The vibratory frequencies generated by the knocking action are analyzed by the fast Fourier transform and the dominant frequency component which is related to the liquid level inside the tank is acquired. Our experimental results show that relationship between the vibratory frequency generated by the knocking action and the liquid level can be described by Bernoulli-Euler beam theory. Therefore, this acquired relationship can be used to estimate the liquid level based on the spectrum generated by knocking the tank surface.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114436107","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}
{"title":"An EM- and wavelet-based multi-band image restoration approach","authors":"Yifan Zhang","doi":"10.1109/ICDSP.2014.6900738","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900738","url":null,"abstract":"This work presents a restoration approach with two available observations of the same scene, each with specific spatial and spectral resolutions. The proposed restoration approach is based on a multi-band image restoration scheme employing Expectation-Maximization (EM) algorithm and implemented in wavelet domain. It can be easily applied in hyperspectral and multispectral image fusion and restoration to acquire image with both high spatial and spectral resolutions. Simulation experiment is employed to validate the proposed approach. A performance comparison is made with its counterparts in image domain.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128528473","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}
{"title":"An analog network approach to train RBF networks based on sparse recovery","authors":"Ruibin Feng, A. Leung, A. Constantinides","doi":"10.1109/ICDSP.2014.6900799","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900799","url":null,"abstract":"The local competition algorithm (LCA) is an analog neural approach for compressed sensing. It is used to recover a sparse signal from a set of measurements. Unlike some traditional numerical methods that produce many elements with small magnitude, the LCA automatically set those unimportant elements to zero. This paper formulates the training process of radial basis function (RBF) networks as a compressed sensing problem. We then apply the LCA to train RBF networks. The proposed LCA-RBF approach can select important RBF nodes during training. Since the proposed approach can limit the magnitude of the trained weight, it also has certain ability to handle RBF networks with multiplicative weight noise.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128570642","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}
{"title":"Sparse estimation from sign measurements with general sensing matrix perturbation","authors":"Jiang Zhu, Xiaokang Lin","doi":"10.1109/ICDSP.2014.6900711","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900711","url":null,"abstract":"In this paper, the problem of estimating a sparse deterministic parameter vector from its sign measurements with a general perturbed sensing matrix is considered. Firstly, the best achievable mean square error (MSE) performance is explored by deriving the sparsity constrained Cramér Rao lower bound (CRLB). Secondly, the maximum likelihood (ML) estimator is utilized to estimate the unknown parameter vector. Although the ML estimation problem is non-convex, we find it can be reformulated as a convex optimization problem by re-parametrization and relaxation, which guarantees numerical algorithms to converge to the optimal point. Thirdly, a fixed point continuation (FPC) algorithm is used to solve the relaxed ML estimation problem. Finally, numerical simulations are performed to show that this relaxed method works well, and the ML estimator asymptotically approaches the CRLB as the number of measurements increases.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571849","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}