Showing papers on "Quadrature mirror filter published in 2017"

An efficient gbest-guided Cuckoo Search algorithm for higher order two channel filter bank design

Abstract: This paper proposes a new algorithm based on Gbest-guided Cuckoo Search (GCS) algorithm for the design of higher order Quadrature Mirror Filter (QMF) bank. Although the optimization of lower order filters can be performed easily by applying existing meta-heuristic optimization techniques like Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) etc., these methods are unsuccessful in searching higher order filter coefficients due to multimodality and nonlinear problem space; leads to some undesirable behaviors in filter responses like ripples in transition band, lower stop-band attenuation etc.. Comparison with other available results in the literature indicate that the proposed method exhibits an 69.02% increase in stop-band attenuation and 99.71% reduction in Perfect Reconstruction Error (PRE) of higher order filter bank. Besides, the percentage improvements in Fitness Function Evaluations (FFEs) of GCS based 55th order QMF bank design with respect to PSO, ABC and CSA are 81%, 82% and 59% respectively, and execution time is improved by 73%, 72% and 42% respectively. The simulation results also reveal that the proposed approach exhibits lowest mean and variance in different assessment parameters of filter bank and it does not require tuning of algorithmic parameters whereas in standard CSA replacement factor need to be adjusted. Further, the proposed algorithm is tested on six standard benchmark problems and complex benchmark functions from the CEC 2013 where it demonstrated significant performance improvements than other existing methods.

A Novel Non-Invasive Method for Extraction of Geometrical and Texture Features of Wood

Abstract: Non invasive feature detection in wood based application requires exact discrimination between geometrical edges and texture. It has been found that traditional edge detection algorithms are highly sensitive to noise and texture and produces inferior results with wood. The present work encompasses a micro level reconstruction of Palash and Rosewood by using micro X-rays CT scanner. It also encompasses a new edge detection algorithm using newly constructed Chebyshev polynomial based fractional order differentiator. Transform based method has been used for reconstruction purpose. Newly designed fractional order filter has been applied on these reconstructed images. Chebyshev polynomial based fractional order differentiator has been used for filtering operation. Quadrature Mirror Filter (QMF) concept has been used for design of high pass filter and low pass filter. Preprocessing has been performed by using this filter. Canny edge detection algorithm has been used on this preprocessed image. The algor...

Quadrature Mirror Filter Bank Design for Mitral Valve Doppler Signal Using Artificial Bee Colony Algorithm

Abstract: In this paper, a new design method was developed for quadrature mirror filter (QMF) bank. Previous QMF bank design methods focused on frequency response properties such as pass band and stop band parameters with symmetrical filters. With the proposed method, QMF bank was designed using on time domain signals as mitral valve signal with unsymmetrical filter. The design problem was formulated as an objective function of difference between QMF bank’s input and output signals. QMF bank signal disparity was compared with correlation and peak reconstruction error (PRE). QMF bank prototype filter parameters were optimized with Artificial Bee Colony (ABC) and Differential Evaluation (DE) Algorithms. Design outputs were compared with previous works. DOI: http://dx.doi.org/10.5755/j01.eie.23.1.17584

Low-complexity design framework of all-pass filters with application in quadrature mirror filter banks design

Abstract: Digital all-pass filters design problem can be simplified by solving a set of linear equations associated with a Toeplitz-plus-Hankel matrix in the least-squares sense. Consequently, the Cholesky decomposition or split Levinson technique can be appropriately used to obtain the optimal solution. In this study, the determination of the set of linear equations to calculate the all-pass-based quadrature mirror filter banks is achieved by exploiting some trigonometric identities and the frequency sampling method. The proposed simplification allows for expressing a sum of sinusoids by a single expression. The simulation results indicate that the presented new and simpler closed-form expressions of the Toeplitz-plus-Hankel associated matrices can achieve accurate performance with a considerable reduction in computational complexity.

Performance comparison of two channel CMFB and QMF bank designed via ABC algorithm

Abstract: In this study, Cosine Modulated Filter Bank design and Quadrature Mirror Filter Bank design are performed using prototype filter designed with Artificial Bee Colony Algorithm. The same design example parameters were used for both filter banks; the performances of the filter banks designed at different orders are compared in terms of stopband attenuation, mean square error, peak reconstruction error and computational time.

Design of all-pass-based quadrature mirror filter banks using a Lyapunov error criterion

Abstract: Least-squares design of two-channel quadrature mirror filter banks can be efficiently solved using infinite impulse response all-pass filters without yielding magnitude distortion. This paper exploits a neural network-based Lyapunov energy function to relate the phase objective function of the all-pass-based quadrature mirror filter banks. Applying the neural network architecture and suitable Hopfield-related parameters, the optimal all-pass filter coefficients can be obtained. By further using the parallel combination of the all-pass filters, the two-channel quadrature mirror filter banks can be efficiently designed. Simulation results demonstrate that the proposed approach achieves accurate performance in both reconstruction error and group delay.

Comparison of QMF bank designs in frequency and time domain using ABC algorithm

Abstract: This paper presents a frequency domain signal based design method for quadrature mirror filter (QMF) banks. the proposed filter banks performances were examined and evaluated for the time domain signals In designs, the artificially generated EEG signal and its FFT transform was used. The prototype filter of the QMF bank parameters are designed with artificial bee colony (ABC) algorithm. In time and frequency domain designed QMF bank performances are compared and interpreted.

Non-iterative filter bank phase (re)construction

Abstract: Signal reconstruction from magnitude-only measurements presents a long-standing problem in signal processing. In this contribution, we propose a phase (re)construction method for filter banks with uniform decimation and controlled frequency variation. The suggested procedure extends the recently introduced phase-gradient heap integration and relies on a phase-magnitude relationship for filter bank coefficients obtained from Gaussian filters. Admissible filter banks are modeled as the discretization of certain generalized translation-invariant systems, for which we derive the phase-magnitude relationship explicitly. The implementation for discrete signals is described and the performance of the algorithm is evaluated on a range of real and synthetic signals.

Heterogeneous filter bank filtering method based on tree structure

Abstract: The invention provides a heterogeneous filter bank filtering method based on a tree structure; the method comprises the following steps: using a dual-channel FIR quadrature mirror filter bank as a basic module, and employing the tree structure to build a heterogeneous filter bank; deriving reconstruction conditions of the whole tree structure heterogeneous filter bank, and resulting the whole system complete reconstruction conditions as to design a prototype filter satisfying specific conditions; using an iteration passband cut-off frequency to enable the designed prototype filter to satisfy reconstruction conditions In a prototype filter special designing process, the method can employ a discrete weight square error criterion; compared with other methods, the criterion can better realize the passband flat characteristics and bigger stop band attenuation; the design scheme can effectively reduce the iteration complexity, can obtain bigger stop band attenuation and excellent system reconfiguration performance, thus providing important application values for a radar broadband channelization receiver and voice and picture signal processing

Design and Implementation of Efficient Analysis and Synthesis QMF Bank for Multicarrier Cognitive Radio Communication.

Abstract: The present section deals with a new type of technique for designing an efficient two channel Quadrature Mirror Filter Bank with constant phase in frequency. For achieving the Perfect Reconstruction Condition in Filter bank, an attempt has been made to design the low pass prototype filter with its impulse response and frequency response in three regions namely pass band, stop band and transition band region. With the error in terms of Reconstruction and the attenuation in the stop band as seen in the prototype filter response, one can evaluate the performance of the introduced filter with the help of filter coefficients generated in the design examples that affects the quality of filter bank design under the constraints of Near Perfect Reconstruction Conditions.

Optimum QMF bank based ECG data compression

Abstract: This work presents a new Electrocardiogram (ECG) data compression technique based on the optimum two channel quadrature mirror filter (QMF) bank. Firstly, prototype filter is designed using ParksMcClellan algorithm. To avoid amplitude distortion linear optimization technique is used by varying passband edge frequency of prototype filter. Than after, QMF bank is designed by optimized prototype filter. Data compression is done by decomposing the signal using optimum QMF bank and truncates the irrelevant coefficients using level thresholding. Further, Run-Length Encoding (RLE) is applied to improve the compression performance. The proposed method is tested using MIT-BIH database. The performance is estimated by different parameters viz., the compression ratio (CR), percentage root-mean-square difference (PRD), signal to noise ratio (SNR), and quality score (QS). Experimental results show that proposed method provides QS up to 20.10 and table of comparison shows that this work is better than several other existing methods in terms of CR and PRD. Diagnostic information of both original and reconstructed signals is compared, which shows both signals have same diagnostic information.

Investigating the Potential of Pseudo Quadrature Mirror Filter-Banks in Music Source Separation Tasks.

Abstract: Estimating audio and musical signals from single channel mixtures often, if not always, involves a transformation of the mixture signal to the time-frequency (T-F) domain in which a masking operation takes place. Masking is realized as an element-wise multiplication of the mixture signal's T-F representation with a ratio of computed sources' spectrogram. Studies have shown that the performance of the overall source estimation scheme is subject to the sparsity and disjointness properties of a given T-F representation. In this work we investigate the potential of an optimized pseudo quadrature mirror filter-bank (PQMF), as a T-F representation for music source separation tasks. Experimental results, suggest that the PQMF maintains the aforementioned desirable properties and can be regarded as an alternative for representing mixtures of musical signals.

Current Mirror Based Filter

Abstract: Analog baseband circuits, including filters and programmable gain amplifiers (PGA), are indispensable in wireless sensors and communication systems. Portable devices continue to drive the need for circuits that achieve low power without sacrificing linearity. These analog baseband filters typically consume tens of mW and have a considerable impact on the total power consumption of a transceiver. Wireless receivers today demand low-noise and linear baseband channel select filters to accommodate the large dynamic range of the input signals. Power dissipation and die area of these filters must also be as small as possible. Analog frond ends are usually integrated with digital function blocks in recent mixed-signal Soc applications including data communication and image processing systems. Low power and small area ADCs with 8–10b accuracy operating several tens of MS/s are considered important building blocks. However each ADC has to he preceded by a front end anti-alias filter with cut off frequency in MHz range. There are two major concerns when we design a wideband LPF. One is the selection of filter LCR prototype, that is, Butterworth, Chebychev, Bessel etc. The other is the selection between G m -C and active-RC.

Primary user Emulation Attack Defense in Filter Bank based Cognitive Radio

Abstract: Background/Objectives: The spectrum scarcity problem arising due to reckless development in wireless communication can be addressed using cognitive radio technology. An important step in cognitive radio technology is spectrum sensing and associated with that is an attack called primary user emulation attack. Methods/Statistical Analysis: A two channel Quadrature Mirror Filter (QMF) bank is employed for a single user spectrum sensing. The energy detection method is used as reference for comparing the performance of the filter bank method in the presence of attackers. Existing approaches like Neyman-Pearson Criterion, Improved Detection Scheme with Double threshold and Location Verification Method for detecting PUE attacks were examined. A new method which combines improved detection scheme and location verification method is proposed for detecting PUE attacks. Findings: The simulation result shows that the filter bank method shows better performance than the energy detection method in the presence of attackers. The probability of detection of PUE attacks using improved detection scheme and location verification method for the filter bank method and energy detection method was analyzed and found out that the filter bank based spectrum sensing method outperforms energy detection method. By incorporating AND rule logic, OR rule logic and Alternate logic approach into the filter bank spectrum sensing technique, the probability of detection of PUE attack was investigated and it is seen that the probability of detection has increased to 0.98 in FB method at SNR = 1 dB when employing an alternate approach. Application/Improvements: The feasibility of deploying the filter bank method integrated with the alternate logic is to be tested using Universal Software Radio Peripheral (USRP) module.

Design of Two-Channel Quincunx Quadrature Mirror Filter Banks Using Digital All-Pass Lattice Filters

Abstract: Abstract—This paper deals with the problem of two-dimensional (2-D) recursive two-channel quincunx quadrature mirror filter (QQMF) banks design. The analysis and synthesis filters of the 2-D recursive QQMF bank are composed of 2-D recursive digital allpass lattice filters (DALFs) with symmetric half-plane (SHP) support regions. Using the 2-D doubly complementary half-band (DC-HB) property possessed by the analysis and synthesis filters, we facilitate the design of the proposed QQMF bank. For finding the coefficients of the 2-D recursive SHP DALFs, we present a structure of 2-D recursive digital allpass filters by using 2-D SHP recursive digital all-pass lattice filters (DALFs). The novelty of using 2-D SHP recursive DALFs to construct a 2-D recursive QQMF bank is that the resulting 2-D recursive QQMF bank provides better performance than the existing 2-D recursive QQMF banks. Simulation results are also presented for illustration and comparison.

Design and simulation of quadrature mirror filters-based channelization architecture for subband coding applications using FPGA

Abstract: Subband coding is a method in which the incoming digital signal is decomposed into its constituent low-pass and high-pass signal components. The decomposed components further down-sampled and encoded using lossy compression methods. The key application of subband coding is in speech compression, image compression etc. The subband coding method uses a set of filters called Quadrature Mirror Filters (QMF) which consists of a low-pass filter and its quadrature shift high-pass filter. Resource efficient design and reconfigurability are the key requirements of digital channelization architectures. This paper presents an architecture for realizing the 2-channel Quadrature Mirror Filter Analysis Bank on FPGA using three different multiplier structures namely Booth Multiplier, Baugh-Wooley Multiplier and Signed Vedic Multiplier. This paper also gives a brief comparison between different proposed structures in-terms of speed and area consumption. Simulations and synthesis are carried out using Xilinx ISE with Virtex-5 XC5VLX330T-2FF1738 FPGA device environment.