Results 1  10
of
481
Linear multiuser detectors for synchronous codedivision multipleaccess channels
 IEEE TRANS. INFORM. THEORY
, 1989
"... In codedivision multipleaccess systems, simultaneous multiuser accessing of a common channel is made possible by assigning a signature waveform to each user. Knowledge of these waveforms enables the receiver to demodulate the data streams of each user, upon observation of the sum of the transmitt ..."
Abstract

Cited by 385 (4 self)
 Add to MetaCart
ized inverse of the matrix of signature waveform crosscorrelations, and on the optimum linear detector. It is shown that the generalized inverse detectors exhibit the same degree of nearfar resistance as the optimum multiuser detector; the optimum linear detector is obtained subsequently, along
Blind Adaptive Multiuser Detection
 IEEE TRANS. INFORM. THEORY
, 1995
"... The decorrelating detector and the linear minimum meansquare error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in codedivision multipleaccess channels; in particular, those multiuser detectors provide optimum nearfar resistance. When tr ..."
Abstract

Cited by 353 (16 self)
 Add to MetaCart
training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training
Spectral Efficiency of CDMA with Random Spreading
 IEEE TRANS. INFORM. THEORY
, 1999
"... The CDMA channel with randomly and independently chosen spreading sequences accurately models the situation where pseudonoise sequences span many symbol periods. Furthermore, its analysis provides a comparison baseline for CDMA channels with deterministic signature waveforms spanning one symbol per ..."
Abstract

Cited by 313 (23 self)
 Add to MetaCart
The CDMA channel with randomly and independently chosen spreading sequences accurately models the situation where pseudonoise sequences span many symbol periods. Furthermore, its analysis provides a comparison baseline for CDMA channels with deterministic signature waveforms spanning one symbol
Southern California hypocenter relocation with waveform crosscorrelation, Part 1: Results using the doubledifference method
 Bull. Seism. Soc. Am. 95
, 2005
"... Abstract We obtain precise relative relocations for more than 340,000 southern California earthquakes between 1984 and 2002 by applying the sourcespecific stationterm (SSST) method to existing P and Sphase picks and a differential location method to about 208,000 events within similarevent clu ..."
Abstract

Cited by 47 (8 self)
 Add to MetaCart
event clusters identified with waveform crosscorrelation. The entire catalog is first relocated by using existing phase picks, a reference 1D velocity model, and the SSST method of RichardsDinger and Shearer (2000). We also perform separate relocations of Imperial Valley events by using a velocity model more
Mapping attenuation beneath North America using waveform crosscorrelation and cluster
, 2006
"... [1] We measure seismic attenuation beneath North America using waveform crosscorrelation and cluster analysis, and obtain images of the laterally varying anelastic structure of the upper mantle. Cluster analysis improves attenuation measurements by systematically comparing only highly similar wavef ..."
Abstract

Cited by 10 (2 self)
 Add to MetaCart
[1] We measure seismic attenuation beneath North America using waveform crosscorrelation and cluster analysis, and obtain images of the laterally varying anelastic structure of the upper mantle. Cluster analysis improves attenuation measurements by systematically comparing only highly similar
Estimation of Q using Crosscorrelation
"... Abstract Ir(t) is the earth impulse response, A simple crosscorrelation method to estimate the Quality Factor Q is described. Qwavelets are used to crosscorrelate with the sesimic trace to estimate Q. The technique is applied on a synthetic seismic trace that has been Qfiltered with Q value of 70. ..."
Abstract
 Add to MetaCart
. The Qwavelet (with a Q value of 70) among all the tested wavelets gave highest crosscorrelation coefficients. Ws is the source waveform, and S(t) is the earth response to the source waveform. Ir(t), the impulse response can be written as follows, shown by Sheriff and Geldart (1995) as
A crosscorrelation of WMAP and ROSAT
, 2003
"... We crosscorrelate the recent CMB WMAP 1 year data with the diffuse soft Xray background map of ROSAT. We look for common signatures due to galaxy clusters (SZ effect in CMB, bremsstrahlung in Xrays) by crosscorrelating the two maps in real and in Fourier space. We do not find any significant cor ..."
Abstract
 Add to MetaCart
We crosscorrelate the recent CMB WMAP 1 year data with the diffuse soft Xray background map of ROSAT. We look for common signatures due to galaxy clusters (SZ effect in CMB, bremsstrahlung in Xrays) by crosscorrelating the two maps in real and in Fourier space. We do not find any significant
Detection of a DSAT Sequence by CrossCorrelation
"... This paper presents a method for the detection of an NAMPS DSAT that does not require digital demodulation or bit synchronization. Instead, a waveform containing a DSAT is crosscorrelated with waveforms corresponding to a set of known DSATs. For each DSAT, one of the inputs to a correlator is shif ..."
Abstract
 Add to MetaCart
This paper presents a method for the detection of an NAMPS DSAT that does not require digital demodulation or bit synchronization. Instead, a waveform containing a DSAT is crosscorrelated with waveforms corresponding to a set of known DSATs. For each DSAT, one of the inputs to a correlator
Asymptotic Spectral Distribution of Crosscorrelation Matrix in Asynchronous CDMA
, 2008
"... Asymptotic spectral distribution (ASD) of the crosscorrelation matrix is investigated for a largesystem asynchronous direct sequencecode division multiple access (DSCDMA) with random spreading sequences. The crosscorrelation matrix is formed by an infinite input symbol length. Two levels of asynch ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
Asymptotic spectral distribution (ASD) of the crosscorrelation matrix is investigated for a largesystem asynchronous direct sequencecode division multiple access (DSCDMA) with random spreading sequences. The crosscorrelation matrix is formed by an infinite input symbol length. Two levels
Phase CrossCorrelations: Design, Comparisons, and Applications
"... Abstract We present a new coherence functional to evaluate quantitatively the goodness of waveform fit between two time series as function of lag time. The proposed coherence measure is called phase crosscorrelation (PCC) because it is based on the similarity of instantaneous phases. No amplitudes ..."
Abstract

Cited by 5 (4 self)
 Add to MetaCart
Abstract We present a new coherence functional to evaluate quantitatively the goodness of waveform fit between two time series as function of lag time. The proposed coherence measure is called phase crosscorrelation (PCC) because it is based on the similarity of instantaneous phases. No amplitudes
Results 1  10
of
481