To realize high-speed communication, broadband transmission has become an indispensable technique in the nextgeneration wireless communication systems. Broadband channel is often characterized by the sparse multipath channel model, and significant taps are widely separated in time, and thereby, a large delay spread exists. Accurate channel state information is required for coherent detection. T...

Sparse intersymbol-interference (ISI) channels are encountered in a variety of communication systems, especially in high-datarate systems. These channels have a large memory length, but only a small number of significant channel coefficients. In this paper, equalization of sparse ISI channels is revisited with focus on trellis-based techniques. Due to the large channel memory length, the comple...

Low complexity joint estimation of synchronization impairments and channel in a single-user MIMOOFDM system is presented in this letter. Based on a system model that takes into account the effects of synchronization impairments such as carrier frequency offset, sampling frequency offset, and symbol timing error, and channel, a Maximum Likelihood (ML) algorithm for the joint estimation is propos...

Broadband channel is often characterized by a sparse multipath channel where dominant multipath taps are widely separated in time, thereby resulting in a large delay spread. Accurate channel estimation can be done by sampling received signal with analog-to-digital converter (ADC) at Nyquist rate and then estimating all channel taps with high resolution. However, these Nyquist sampling-based met...

Single channel speech enhancement is an important problem in practice. One of the well used single channel speech enhancement method, spectral subtraction, can only work for stationary noise. Another method based on Kalman filtering is able to work with non-stationary signals. However, it can only produce optimal estimation of speech signal which is corrupted by Gaussian noise. In practice, spe...