The modified Discrete Fourier Transform (MDFT) filter bank is a Nearly Perfect Reconstruction (NPR) system based on pseudo-QMF filter bank. In this paper, we introduce an optimized algorithm to implement the MDFT filter bank based multicarrier modulation system. The system based on this optimization algorithm has the low error rate and system delay. To verify the designed system we have compare...

This paper presents a new method of sound segregation based on zero-crossings generated from binaural filter-bank outputs. In our approach, sound source directions are identified using the spatial cues such as inter-aural time differences (ITDs) and inter-aural intensity differences (IIDs). The estimation of ITDs is performed using zero-crossings generated from binaural filter-bank outputs to g...

Abstract In recent years, there has been a renewal of interest in brain–computer interface (BCI). One the BCI tasks is to classify EEG motor imagery (MI). A great deal effort made on MI classification. What seems be lacking, however, multiple This paper develops single-channel-based convolutional neural network tackle multi-classification tasks. For multi-classification, single-channel learning...

Filter bank approach is commonly used in feature extraction phase of speech recognition (e.g. Mel frequency cepstral coefficients). Filter bank is applied for modification of magnitude spectrum according to physiological and psychological findings. However, since mechanism of human auditory system is not fully understood, the optimal filter bank parameters are not known. This work presents a me...

A filter bank in which cyclic convolutions are used in place of linear convolutions will be referred to as a cyclic convolution filter bank (CCFB). A dyadic tree-structured CCFB can be used to perform a discrete wavelet transform suitable for coding based on symmetric extension methods. This paper derives an implementation technique for the tree-structured CCFB that can be realized by FFT proce...

A multi-dimensional variable-length subband coder for prestack seismic data was presented. A 2and 3-D separable near perfect reconstruction filter bank was optimized to maximize the coding gain, assuming that the correlation properties of pre-stack seismic data can be modeled by directional dependent autoregressive processes. Identical quantization and entropy coder allocation strategies were u...

This paper proposes an oversampled filter bank, which gives the resultant near perfect reconstruction of input image. An oversampled filter bank structure that can be implemented using popular and efficient fast filter banks to allow subband processing of an input signal with substantially reduced aliasing between subbands. For filters design direct form-II structure FIR filters are used and tr...

An eigenvalue-eigenvector approach for the design of two-channel linear phase quadrature mirror filter (QMF) bank is proposed. To reduce the computational complexity, finite-duration impulse response (FIR) low-pass prototype filter of the filter bank is represented by polyphase components. The design problem is formulated to optimize the filter tap weights of the low-pass prototype filter of th...

This article presents a fast collision detection technique for all kinds of rigid bodies. The new technique can be applied to surfaces, polygon soups as well as volumetric models. It has been developed particularly with regard to large models. It uses a filter bank approach in a preprocessing step, that allows object refinements on-the-fly. At the same time, it prevents collision misses and ens...

Seed banks play a crucial role in arid plant communities because they confer stability and longterm persistence. However, seed banks have high temporal and spatial variability, with dramatic changes in density and composition. The aim of this study was to test whether seasonal change affected seed bank community structure and spatial pattern. Moreover, we wanted to know if the effect driven by ...