This second edition of Adaptive Filters: Theory and Applications has been updated
throughout to reflect the latest developments in this field; notably an increased coverage …

Robust beamforming is a challenging task in a number of applications (radar, sonar,
wireless communications, etc.) due to strict restrictions on the number of available …

We propose a noise-robust signal classification approach using siamese convolutional
neural networks (CNNs), which employ a linked parallel structure to rank similarity between …

Blind equalization has recently attracted much attention due to its exceptional potential for
enhancing spectrum efficiency in wireless communication systems. However, the error …

We propose Gaussian processes for regression (GPR) as a novel nonlinear equalizer for
digital communications receivers. GPR's main advantage, compared to previous nonlinear …

Many camera systems are dedicated to the capture of bi-level objects, including documents,
bar codes, handwritten signatures, and vehicle license plates. Degradations in the imaging …

In this paper, the problem of blind equalization of high-order quadrature amplitude
modulation (QAM) signals is tackled by using a batch equalizer based on support vector …

针对常数模和判决引导双模式盲均衡算法切换时机选择困难问题, 提出了一种并联滤波的双模式
融合盲均衡算法. 算法以并联滤波器作为盲均衡器, 两路子滤波器分别以常数模算法准则和判决 …

针对严重非线性失真信道, 提出了一种级联混合小波神经网络自适应盲均衡器.
这种均衡器在小波网络输入层之前级联一个横向滤波器, 横向滤波器的节点输出作为小波网络的 …

This paper addresses the blind signal recovery for convolutive multiple-input multiple-output
systems with high-order quadrature amplitude modulation (QAM) signals. First, a family of …