activity
20182020
most citedGreedy Algorithms for Hybrid Compressed Sensing

7 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2020

An Overview of Generalized Frequency Division Multiplexing (GFDM)

Ching-Lun Tai, Tzu-Han Wang, Yu-Hua Huang

As a candidate waveform for next-generation wireless communications, generalized frequency division multiplexing (GFDM) features several decent properties which make it promising.…

eess.SP2020

A Review on Coexistence Issues of Broadband Millimeter-Wave Communications

Ching-Lun Tai, Derek Wu

With higher frequencies and broader spectrum than conventional frequency bands, the millimeter-wave (mmWave) band is suitable for next-generation wireless networks featuring short-…

cs.IT2019★ 1 cited

Interference-Precancelled Pilot Design for LMMSE Channel Estimation of GFDM

Ching-Lun Tai, Borching Su, Cai Jia

Generalized frequency division multiplexing (GFDM) is a promising candidate waveform for next-generation wireless communication systems. However, GFDM channel estimation is still c…

eess.SP2019★ 7 cited

Greedy Algorithms for Hybrid Compressed Sensing

Ching-Lun Tai, Sung-Hsien Hsieh, Chun-Shien Lu

Compressed sensing (CS) is a technique which uses fewer measurements than dictated by the Nyquist sampling theorem. The traditional CS with linear measurements achieves efficient r…

cs.IT2018

Frequency-Domain Decoupling for MIMO-GFDM Spatial Multiplexing

Ching-Lun Tai, Borching Su, Cai Jia

Generalized frequency division multiplexing (GFDM) is considered a non-orthogonal waveform and known to encounter difficulties when using in the spatial multiplexing mode of multip…