نتایج جستجو برای: filter bank common spatial pattern fbcsp

تعداد نتایج: 1477157  

2003
Juuso Alhava Ari Viholainen Markku Renfors

In Exponentially-Modulated Filter Bank (EMFB) the complex subfilters are generated from a real-valued prototype filter by multiplying the filter impulse response with complex exponential sequences. This gives the possibility to use block transforms with computationally fast algorithms. Our definition for the EMFB is based on Extended Lapped Transform (ELT). Then we may apply Fast ELT based algo...

2013
S. K. Agrawal O. P. Sahu

This paper presents an efficient method for the design of two-channel quadrature mirror filter (QMF) bank by polyphase representation of low-pass prototype filter and power optimization method for minimization of an objective function. The objective function is formulated as linear combination of pass-band error and stop-band residual energy of the low-pass analysis filter of the filter bank. O...

2011
Anamika Jain Aditya Goel

This paper proposes an efficient method for the design of two-channel, quadrature mirror filter (QMF) bank for subband image coding. The choice of filter bank is important as it affects image quality as well as system design complexity. The design problem is formulated as weighted sum of reconstruction error in time domain and passband and stop-band energy of the low-pass analysis filter of the...

1999
Sang-il Park Mark J. T. Smith Russell M. Mersereau

A new directional filter bank for image analysis and classification is proposed. This paper introduces an improved structure in order to visualize subband outputs of the directional filter banks, while retaining the attractive properties of the original directional filter banks such as 1-D separable filtering, perfect reconstruction, and maximal decimation. Using this structure, any arbitrary 2...

2013
Dr. D. Pugazhenthi A. Jayasudha

Classification of image textures is an important task in image processing and pattern recognition. Over the years, extensive researches have been done for the classification of the texture images. The wavelet transform is an important multi-resolution analysis tool has been commonly applied to image analysis and various classification systems. The texture is characterized by a set of channel va...

1999
Andreas Klappenecker

We introduce a framework for treating multirate filter banks for signal and image processing applications, as well as communication applications, in a unified way. We show how methods from group and ring theory can be applied to derive structural properties of filter banks.

2013
Ke Yu Yue Wang Kaiquan Shen Xiaoping Li

The common spatial pattern analysis (CSP), a frequently utilized feature extraction method in brain-computer-interface applications, is believed to be time-invariant and sensitive to noises, mainly due to an inherent shortcoming of purely relying on spatial filtering. Therefore, temporal/spectral filtering which can be very effective to counteract the unfavorable influence of noises is usually ...

2002
Linnéa Rosenbaum Per Löwenborg Håkan Johansson

The frequency-response masking (FRM) approach was introduced as a means of generating narrow transition band linear-phase FIR filters with a low arithmetic complexity. This paper proposes an approach for synthesizing modulated maximally decimated FIR filter banks utilizing the FRM technique. For this purpose, a new class of FRM filters is introduced. Filters belonging to this class are used for...

2005

Even though we do have on going research on traditional OFDM/DMT techniques, part of our research in multicarrier communication concentrates on filter bank-based multicarrier modulation. We refer to this as cosine-modulated filter bank multicarrier modulation (CMFB-MCM) or cosine-modulated multitone (CMT), for a shorter terminology. In the past, under the name discrete wavelet multitone (DWMT) ...

2015
Martin VETTERLI

Output of the decimator, by designing the analysis filters as in Fig. pdf maker for mac os Bank is not time-invariant as the decimators and intes.Signal Processing 1

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