1053-587X

IEEE Transactions on Signal Processing (TSP) - 论文列表

本期论文列表
A Bayesian sampling approach to decision fusion using hierarchical models

A generic framework for blind source separation in structured nonlinear models

Regularity and strict identifiability in MIMO systems

Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field

A frequency domain blind signal separation method based on decorrelation

Adaptive instantaneous frequency estimation of multicomponent FM signals using quadratic time-frequency distributions

Local echo canceler with optimal input for true full-duplex speech scrambling system

Exploiting sparsity in adaptive filters

Wiener design of adaptation algorithms with time-invariant gains

Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection

Cramer-Rao bound for nonlinear filtering with Pd<1 and its application to target tracking

Fast recursive basis function estimators for identification of time-varying processes

A polynomial-time algorithm for designing FIR filters with power-of-two coefficients

A robust O(N log n) algorithm for optimal decoding of first-order /spl Sigma/-/spl Delta/ sequences

Two's complement quantization in periodic digital filters

Signal extrapolation in the real Zak space

Generalized sampling: a variational approach .I. Theory

Generalized sampling: a variational approach .II. Applications

Scale-invariant nonlinear digital filters

Fast principal component extraction by a weighted information criterion

Automating the modeling and optimization of the performance of signal transforms

Asymptotic performance of subspace methods for synchronous multirate CDMA systems

Structured semi-blind interference rejection in dispersive multichannel systems

Pilot-based estimation of time-varying multipath channels for coherent CDMA receivers

Three-dimensional discrete wavelet transform architectures

Multidimensional synchronous dataflow

Disentangling chromosome overlaps by combining trainable shape models with classification evidence