{"title":"A low-cost multichannel active noise control system for personal quietude","authors":"A. Karakasoglu, J.F. Abbott, S. Douglas","doi":"10.1109/ACSSC.1995.540904","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540904","url":null,"abstract":"This paper describes the development and performance of a compact, low-cost, one-input, two-output, two-error multichannel active noise system for personal (small-region) quietude. Operation of the system encompasses both modeling and attenuation phases and includes automatic restart capabilities if performance is lost. To achieve a robust single DSP implementation, several modifications of the filtered-X LMS adaptive controller have been employed, including partial gradient calculation, sign-error adaptation, and approximate iterative data normalization of the algorithm step size. Acoustical factors have been addressed in the selection of filter lengths, sampling rate, and convergence factors, as well as in the placement and selection of sensors and output sources. Experiments indicate that the system can achieve 20 dB of noise reduction in the frequency band between 100 Hz and 1700 Hz for localized random noise sources.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157456","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":"Joint estimation of time delay and pitch of voiced speech signals","authors":"Xiaoshu Qian, R. Kumaresan","doi":"10.1109/ACSSC.1995.540647","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540647","url":null,"abstract":"The paper shows that the time delay of a voiced speech signal arriving at different microphones in a microphone array can be more accurately estimated from low signal to noise ratio data if the signal's quasi-periodic property is effectively used. We propose a joint estimator of the time delay and the pitch period based on the maximum likelihood method. For a periodic signal in noise, the proposed estimator is shown analytically to use the data more efficiently than the correlation method, yielding a more robust performance. The simulation tests show that the new delay estimator achieves a higher accuracy than the correlation method for speech data with moderately low signal to noise ratio.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115390122","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":"Shape parameter estimation for generalized Gaussian Markov random field models used in MAP image restoration","authors":"W. H. Pun, B. Jeffs","doi":"10.1109/ACSSC.1995.540942","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540942","url":null,"abstract":"We propose using the generalized Gaussian Markov random field (GGMRF) image model with MAP estimation to solve the problem of restoration for a blurred and noise corrupted image. The restoration algorithm is adapted to specific characteristics of the true image by estimating the GGMRF shape parameter used in computing the MAP estimation. This shape parameter, p, is estimated based on the sample kurtosis of the image. It is shown that higher quality restorations are obtained when the estimated p value is used, rather than some arbitrary choice as other investigators have used.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348262","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":"Signal detection in severely heavy-tailed radar clutter","authors":"G. Tsihrintzis, P. Tsakalides, C. Nikias","doi":"10.1109/ACSSC.1995.540823","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540823","url":null,"abstract":"Alpha-stable distributions have been recognized in the signal processing community as simple, yet very accurate, two-parameter statistical models for signals and noise that contain an impulsive component of various degrees of severity. On the basis of this finding, several signal processing problems have been addressed and solved within the framework of alpha-stable distributions and with the use of fractional, lower-order statistics. We attempt to popularize these new signal processing tools within the radar community. In particular, we evaluate the goodness-of-fit of alpha-stable models in the radar environment and test the performance of new signal processing algorithms for signal detection and classification on real radar, sea-clutter data.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114677686","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":"Deinterlacing using motion compensated local spectra","authors":"C. Ryu, S.P. Kim","doi":"10.1109/ACSSC.1995.540927","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540927","url":null,"abstract":"A new algorithm for deinterlacing of interlaced scanned video sequences is presented. The proposed algorithm is based on local spectra analysis of even and odd image fields. The local spectral analysis is performed based on overlapped block decomposition and motion compensation. The aliasing relationship of matching blocks in the interlaced fields and the sampling lattice information obtained by subpixel registration are utilized to reconstruct deinterlaced frames. Simulation results demonstrate that the resulting frames contain less spatial aliasing and sharper edges than frames generated using commonly used approaches such as median filtering and linear interpolation.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364635","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":"Active sonar ABF application issues","authors":"J. Alsup, X. Zabal","doi":"10.1109/ACSSC.1995.540866","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540866","url":null,"abstract":"This paper discusses several issues which arise when designing algorithms for adaptive beamforming (ABF) as applied to active sonar. Adaptation on match-filtered data and the necessity for pre-steering are clarified. The validity of narrowband beamforming and the use of short data blocks are considered. The singular value decomposition and various spatial smoothing options are discussed. Augmentation, desensitization, and a closed-form quadratic constraint method are explained.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128141421","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":"Efficient filter design for the global standardized GSM wireless system","authors":"C. Hatamoto, K. Feher","doi":"10.1109/ACSSC.1995.540560","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540560","url":null,"abstract":"Implementation of a powerful filter or waveform synthesis invention led to the design of a GSM standardized GMSK baseband processor which has a significantly reduced hardware complexity. A method for designing a filter by storing the possible output waveforms in a look-up table is presented. Based on bit comparisons, the filter controller selects a waveform to output. This method has the advantages of fast design turn-around time and uses very few resources. Using another filter invention, the hardware savings could be as much as 400% which will decrease the power consumption. The design method is applied to a BT/sub b/=0.5 Gaussian low pass filter with several sampling intervals and several quantization levels. In addition, this technique was applied to the Feher (see Wireless Digital Communications: Modulation and Spread Spectrum Applications, New Jersey, Prentice Hall, ch. 4, 1995) filter.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124887199","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":"Adaptive beamforming for TDMA signals","authors":"J. Leary, R. Gooch","doi":"10.1109/ACSSC.1995.540924","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540924","url":null,"abstract":"This paper addresses the design of adaptive beamforming algorithms used to improve the reception of time division multiple access (TDMA) signals in an environment rich in multipath and co-channel interference. A formulation of the problem is presented with an emphasis on \"real-world\" issues such as frame synchronization and partial slot overlap due to co-channel interferers. Three beamformer-demodulator structures are examined along with algorithms for adaptively optimizing their performance. Simulation results are provided to show that the beamformer-demodulator structures can significantly improve the bit error rate as a function of the SINR compared to a single antenna system. The computational complexity of the various structures is compared and shown to be reasonable for implementation on a set of TMS320C40 digital signal processors.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121953729","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":"On the inverse of Hopfield-type dynamical neural networks","authors":"A. Hodge, Wei Zhen, R. Newcomb","doi":"10.1109/ACSSC.1995.540826","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540826","url":null,"abstract":"A technique is given for finding the system inverse to an Hopfield class of continuous time dynamical artificial neural networks, that is, for finding the system which yields the equivalence class of inputs which lead to a given output. This is accomplished by applying the theory of inverse semistate linear systems to the linear part and directly inverting the activation functions. An example is given for a two-input two-output degree two (two neuron) system. The results could be of use in finding the set of patterns which fall into different classes of a neural network dynamic pattern classifier.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829231","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":"Compression in a printer pipeline","authors":"G. Yovanof","doi":"10.1109/ACSSC.1995.540544","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540544","url":null,"abstract":"The role of data compression within a printer pipeline is studied. Hardcopy image compression poses a unique challenge due to the presence of halftoned data used to render continuous tone images on limited resolution devices. We present a quantitative comparison of the compressibility of several halftone patterns. The performance of a variety of lossless and lossy compression algorithms is evaluated. We also address the effect that certain image processing operations, like scaling and enhancement, have on the compression performance.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126289672","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}