IET Signal Processing

Online ISSN 1751-9683
Print ISSN 1751-9675

IET Signal Processing publishes topics such as algorithm advances in single and multi-dimensional, linear and non-linear, recursive and non-recursive digital filters and multi-rate filter banks; the application of chaos theory and neural network based approaches to signal processing.

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Statistical inference for block sparsity of complex-valued signals
- Author(s): Jianfeng Wang ; Zhiyong Zhou ; Jun Yu
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Deep Recurrent-Convolutional NeuralNetwork for Classification of SimultaneousEEG-fNIRS Signals
- Author(s): hamidreza ghonchi ; Mansoor Fateh ; Vahid Abolghasemi ; Saideh Ferdowsi ; Mohsen Rezvani
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MODIFIED QUASI-MAXIMUM LIKELIHOOD ESTIMATOR FOR POLYNOMIAL PHASE SIGNAL
- Author(s): Ahmed Dallil and Abdelaziz Ouldali
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S Transform:from main concepts to some power quality applications
- Author(s): Carlos Beuter and Mario Oleskovicz
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Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates
- Author(s): Jiri Malek ; Zbynek Koldovsky ; Marek Bohac
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Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle
- Author(s): Ling Xu and Feng Ding
Image super-resolution reconstruction using the high-order derivative interpolation associated with fractional filter functions
- Author(s): Deyun Wei
Convolution and correlation theorems for the two-dimensional linear canonical transform and its applications
- Author(s): Qiang Feng and Bing-Zhao Li
Optimal and accurate design of fractional-order digital differentiator – an evolutionary approach
- Author(s): Shibendu Mahata ; Suman Kumar Saha ; Rajib Kar ; Durbadal Mandal
Knowledge-aided STAP with sparse-recovery by exploiting spatio-temporal sparsity
- Author(s): Zhaocheng Yang ; Xiang Li ; Hongqiang Wang ; Rui Fa

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Latest content

Statistical inference for block sparsity of complex-valued signals

Deep Recurrent-Convolutional NeuralNetwork for Classification of SimultaneousEEG-fNIRS Signals

MODIFIED QUASI-MAXIMUM LIKELIHOOD ESTIMATOR FOR POLYNOMIAL PHASE SIGNAL

S Transform:from main concepts to some power quality applications

Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates

Most downloaded

Most cited

Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle

Image super-resolution reconstruction using the high-order derivative interpolation associated with fractional filter functions

Convolution and correlation theorems for the two-dimensional linear canonical transform and its applications

Optimal and accurate design of fractional-order digital differentiator – an evolutionary approach

Knowledge-aided STAP with sparse-recovery by exploiting spatio-temporal sparsity