Noise radiated by rotating and reciprocating machines is often a mixture of multiple complex sources, the successful reduction of which is a field of intensive research. In this paper an advanced source separation approach is presented, based on cyclic Wiener filtering, which takes into account the cyclostationarity property of the signals. The aim of the Wiener filter is the separation of nois...

In this paper, a noise reduction method is proposed which incorporates consonant and vowel characteristics for dysarthric automatic speech recognition (ASR). Due to the noise-like acoustic characteristics of unvoiced consonants, Wiener filtering approaches may provide more distorted spectra of unvoiced consonants of dysarthric speech than those of voiced consonants. Thus, the proposed method se...

The performances of phasor estimation algorithms for the UMTS RAKE Receiver are analysed. Due to the need of covering a wide range of possible mobile speeds and spreading factors, two different algorithms are considered here, namely a LMS-Kalman type algorithm, and a Wiener filter. The Wiener filter is considered both, as a predictor and a smother. It is shown that the simpler LMS-Kalman predic...

We consider a time varying wireless fading channel, equalized by an LMS linear equalizer in decision directed mode (DD-LMS-LE). We study how well this equalizer tracks the optimal Wiener equalizer. Initially we study a fixed channel. For a fixed channel, we obtain the existence of DD attractors near the Wiener filter at high SNRs using an ODE (Ordinary Differential Equation) approximating the D...

In this work we present one efficient structure based on Wiener filter to perform channel equalization in a block communications system. We show that it is possible to derive a structure to estimate a block of transmitted symbols that use the same Wiener filter to estimate all symbols in the block. In terms of bit error rate, experimental results show that the system performs better than Discre...

We propose a new structure for blind equalization with spatiotemporal diversity at the receiver (SIMO system). This structure is derived from the Wiener filter. It is composed by a prefilter deduced from the data spectral density (no blind criterion is needed) and a FIR filter, independent from the noise level, to be obtained blindly. The new prefilter is robust to a total lack of effective div...

In this paper, we combine the well-established technique of Wiener filtering with an efficient method for robust smoothing: channel smoothing. The main parameters to choose in channel smoothing are the number of channels and the averaging filter. Whereas the number of channels has a natural lower bound given by the noise level and should for the sake of speed be as small as possible, the averag...

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...

—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...