Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods. - J. Stefan Karlsson; Jun Yu 005; Metin Akay (IEEE Trans. Biomed. Eng., 1999)

Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study. - J. Stefan Karlsson; Jun Yu 005; Metin Akay (IEEE Trans. Biomed. Eng., 2000)

Multispectral image classification using wavelets: a simulation study. - Jun Yu 005; Magnus Ekström (Pattern Recognit., 2003)

Improved maximum frequency estimation with application to instantaneous mean frequency estimation of surface electromyography. - Nils Östlund; Jun Yu 005; J. Stefan Karlsson (IEEE Trans. Biomed. Eng., 2004)

Adaptive spatio-temporal filtering of multichannel surface EMG signals. - Nils Östlund; Jun Yu 005; J. Stefan Karlsson (Medical Biol. Eng. Comput., 2006)

Stable and robust $ ell_p$-constrained compressive sensing recovery via robust width property. - Zhiyong Zhou; Jun Yu 005 (CoRR, 2017)

Recovery analysis for weighted mixed $ ell_2/ ell_p$ minimization with $0<p leq 1$. - Zhiyong Zhou; Jun Yu 005 (CoRR, 2017)

Sparse recovery based on q-ratio constrained minimal singular values. - Zhiyong Zhou; Jun Yu 005 (CoRR, 2018)

On q-ratio CMSV for sparse recovery. - Zhiyong Zhou; Jun Yu 005 (CoRR, 2018)

Effective degrees of freedom for surface finish defect detection and classification. - Natalya Pya Arnqvist; Blaise Ngendangenzwa; Erik Lindahl; Leif Nilsson; Jun Yu 005 (CoRR, 2019)

Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values. - Jianfeng Wang; Zhiyong Zhou; Jun Yu 005 (CoRR, 2019)

Adaptive algorithm for sparse signal recovery. - Fekadu L. Bayisa; Zhiyong Zhou; Ottmar Cronie; Jun Yu 005 (Digit. Signal Process., 2019)

A New Nonconvex Sparse Recovery Method for Compressive Sensing. - Zhiyong Zhou; Jun Yu 005 (Frontiers Appl. Math. Stat., 2019)

Recovery analysis for weighted mixed ℓ2∕ℓp minimization with 0p≤1. - Zhiyong Zhou; Jun Yu 005 (J. Comput. Appl. Math., 2019)

Sparse recovery based on q-ratio constrained minimal singular values. - Zhiyong Zhou; Jun Yu 005 (Signal Process., 2019)

On q-ratio CMSV for sparse recovery. - Zhiyong Zhou; Jun Yu 005 (Signal Process., 2019)

A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions Using Ultrafast Ultrasound Imaging - Simulations and Experimental Tests. - Robin Rohlén; Erik Stålberg; Karen-Helene Støverud; Jun Yu 005; Christer Grönlund (IEEE Access, 2020)

Minimization of the q-ratio sparsity with 1<q≤∞ for signal recovery. - Zhiyong Zhou; Jun Yu 005 (CoRR, 2020)

Statistical inference for the block sparsity of complex-valued signals. - Jianfeng Wang; Zhiyong Zhou; Jun Yu 005 (IET Signal Process., 2020)

Phaseless compressive sensing using partial support information. - Zhiyong Zhou; Jun Yu 005 (Optim. Lett., 2020)

Effects of winter climate on delays of high speed passenger trains in Botnia-Atlantica region. - Jianfeng Wang; Markus Granlöf; Jun Yu 005 (J. Rail Transp. Plan. Manag., 2021)

Minimization of the q-ratio sparsity with 1q≤∞ for signal recovery. - Zhiyong Zhou; Jun Yu 005 (Signal Process., 2021)

Estimation of block sparsity in compressive sensing. - Zhiyong Zhou; Jun Yu 005 (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Statistical learning for train delays and influence of winter climate and atmospheric icing. - Jianfeng Wang; Roberto Mantas-Nakhai; Jun Yu 005 (J. Rail Transp. Plan. Manag., 2023)