For the least mean square (LMS) algorithm, we analyze the correlation matrix of the filter coefficient estimation error and the signal estimation error in the transient phase as well as in steady state. We establish the convergence of the second-order statistics as the number of iterations increases, and we derive the exact asymptotic expressions for the mean square errors. In particular, the r...

This paper proposes a hybrid post-filter for microphone arrays with the assumption of a diffuse noise field, where few postfilter performs well, to suppress correlated as well as uncorrelated noises. In the proposed post-filter, a modified Zelinski post-filter is applied to the high frequencies to suppress spatially uncorrelated noise and a single-channel Wiener post-filter is applied to the lo...

The ASP consists of several components: a digital beat-frequency oscillator (BFO), selectable band-pass filters for CW, SSB and other digital modes, a denoiser based on the least-mean-squares (LMS) technique and a Wiener-filter autonotcher (removing carriers or heterodynes). Several advanced concepts are applied in this project, such as multirate processing, adaptive filtering and frequency shi...

Two advanced design methodologies for hardware acceleration of a standard digital image restoration algorithm are explored and compared. The first one is the custom-designed hardware approach, leading to an application-specific integrated circuit (ASIC) implementation. The second one consists of the configurable processor approach, yielding a mixed hardware/software implementation running on a ...

—In this paper, we consider a digital radio mondiale (DRM) system using orthogonal frequency division multiplexing (OFDM) with coherent detection at the receiver. The DRM pilots are two-dimensional distribution, linear interpolation and Wiener filter interpolation respectively used in the time and frequency domain as the channel estimation algorithm. We propose a low-complexity improved Wiener...

This work presents a novel approach to speech enhancement by exploiting the bimodality of speech and the correlation that exists between audio and visual speech features. For speech enhancement, a visually-derived Wiener filter is developed. This obtains clean speech statistics from visual features by modelling their joint density and making a maximum a posteriori estimate of clean audio from v...

GEO Satellite imagery is an important tool and can be used to estimate rainfall during the thunderstorms and hurricanes for flash flood warnings in real time. However, for the GEO satellite is located higher than normal LEO satellite, the spatial resolution images are lower. Therefore, in order to obtain an image with enough resolution, some methods are to be implemented in GEO satellite observ...

We present space-time transmit filters for FDD DS-CDMA systems based on partial channel state information, i. e. we do not take into account the channel coefficients. Although the FDD transmit zero-forcing filter seems to be the most intuitive approach, we focus on the FDD transmit matched filter and the FDD transmit Wiener filter. Similarly to the respective receive filters and TDD transmit fi...

Recently, a generalized multi-microphone noise reduction scheme, referred to as the spatially pre-processed speech distortion weighted multichannel Wiener filter (SP-SDW-MWF), has been presented. This scheme consists of a fixed spatial preprocessor and a multichannel adaptive noise canceler (ANC) optimizing the SDWMWF cost function. By taking speech distortion explicitly into account in the des...