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Publications (80)
This paper presents a new method for separating the mixed audio signals of simultaneous speakers using Blind Source Separation (BSS). The separation of mixed signals is an important issue today. In order to obtain more efficient and superior source estimation performance, a new algorithm that solves the BSS problem with Multi-Objective Optimization...
Polyphase filter banks (PFBs) are the most preferred multirate structures for subband coding in Digital Signal Processing (DSP) and communication. For PFB design, there are many important design parameters such as filter length and frequency selectivity. Also, to realize the desired frequency response in designs, stopband and passband attenuation a...
Blind Source Separation is an optimization method frequently used in statistical signal processing applications. There are many application areas such as ambient listening, denoising, signal detection, and so on. In this study, a new Strength Pareto Evolutionary Algorithm 2-based signal separation method is proposed, which combines Multi-Objective...
The development of the efficient sparse signal recovery algorithm is one of the important problems of the compressive sensing theory. There exist many types of sparse signal recovery methods in compressive sensing theory. These algorithms are classified into several categories like convex optimization, non-convex optimization, and greedy methods. L...
PERFORMANCE ANALYSIS OF GA, PSO AND ABC ALGORITHMS FOR POLYPHASE FILTER BANK DESIGN
Compressed sensing is a signal processing method that does the compressing and sensing processes at the same time. Sparse signal reconstruction is one of the most important issues of compressed sensing. The developments in sparse signal reconstruction methods directly affect the performance of the compressed sensing process. Many sparse signal reco...
Multi-objective optimization is the task of finding optimal solutions when an optimization problem involves several conflicting objective functions. Multi-objective optimization algorithms try to optimize all the objectives simultaneously and can provide a variety of trade-off solutions among the objectives. There exist numerous algorithms proposed...
ABC Algoritmasının Kontrol Parametrelerinin Çok fazlı Süzgeç Bankası Tasarımına Etkisi
This study introduces a new technique for sparse signal reconstruction. In general, there are two classes of algorithms in the recovery of sparse signals: greedy approaches and l1-minimization methods. The proposed method employs swarm intelligence based techniques for sparse signal reconstruction. With this technique, the proposed method tries to...
Nature-inspired optimization (NIO) algorithms have gained quite a popularity among the researchers due to their good performance on difficult optimization problems. Recently, machine learning (ML) algorithms dealing with the generation of knowledge automatically from data have been often integrated into NIO algorithms to enhance their performance....
In this study, a new cosine modulated filter bank design is proposed by using window functions. The prototype filter of the filter bank is designed with cascade useof the Gaussian window function and Kaiser window function in the proposed method. The filter bank designed using proposed prototype filter and discrete cosine transform is analyzed for...
There has been a significant increase in the number of designs based on optimization techniques as the usage areas of computers have increased day by day. In this paper, Cosine Modulated Filter Banks (CMFBs) using meta-heuristic optimization techniques are reviewed. The basic features of the meta-heuristic optimization algorithms which used in rela...
This study includes an evolutionary algorithm technique for sparse signal reconstruction in compressive sensing. In general, l1 minimization and greedy algorithms are used to reconstruct sparse signals. In addition to these methods, recently, heuristic algorithms have begun to be used to reconstruct sparse signals. Heuristic algorithms are used in...
In this work, Cosine Modulated Filter Bank (CMFB) is designed using Artificial Bee Colony (ABC) Algorithm. In heuristic algorithms, one of the important factors affecting the performance of the algorithm is to determine the control parameters of the algorithm. The performance of the designed filter bank is investigated according to the change in th...
The Doppler signal of mitral valve is a biomedical signals and it is acquired by Doppler ultrasound device from mitral valve of hearth. It contains useful information about mitral valve and it can be used to diagnose mitral valve diseases by doctors. However, biomedical signal might be contaminated with noise or disruptive interference. In literatu...
In recent years, metaheuristic optimization techniques have attracted much attention from researchers and practitioners and they have been widely used to solve complex or specific optimization problems in all fields, from engineering area to finance [2].
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 unsymmetrica...
Electrocardiographic (ECG) signal is a biological signal that contains useful information about electrical activities of hearth. When obtaining ECG signals by using electronic equipment, there can be many distortions in the signals. Adaptive filter usage is one of the ways of eliminating these distortions. In this work, adaptive filter is designed...
Son yillarda suzgec bankasi yapilari isaret islemede, haberlesme sistemlerinde, biyomedikal isaret islemede, alt bant kodlama islemlerinde oldukca sik kullanilmaktadir. Suzgec bankasi tasariminda ozellikle cok onemli bir yere sahip olan frekans seciciligi, suzgec bankasinin farkli frekans bantlarindaki basarimini gosteren bir olcuttur. Iyi bir frek...
Biomedical signals affected with noise, interferences and other undesired effects like as Transcranial Doppler (TCD) Signals. In this work, 10dB additive White gaussian noise added on simulated TCD signals. Noise elimination on the TCD signal noise elimination used with 4th degree of IIR filters, parameters are determined with artificial bee colony...
Recently, two dimensional (2D) adaptive filter, which can self-adjust the filter coefficients by using an optimization algorithm driven by an error function, has attracted much attention by researchers and practitioners, because 2D adaptive filtering can be employed in many image processing applications, such as image denoising, enhancement and dec...
Recently, the design of the two-dimensional digital filter has become a subject of interest in the field of two-dimensional signal processing. The two-dimensional digital filter has been applied in many important areas such as image processing, television systems and seismic signal processing. In digital filter design, there are several indispensab...
In recent years multirate filter banks, which are part of the system structures in signal processing and communication systems, biomedical signal processing, the sub-bands coding processing are often used. A very important place, especially in the design of filter banks having frequency selectivity, the filter bank is a measure of the performance o...
The past over the years, single or multi-dimensional signal processing applications, communication systems, biomedical signal processing, word coding, sub-band coding in applications such as efficient use filter banks; single filter instead of multiple custom filters come together with being designed. In this study, two-channel filter banks a speci...
In this paper, the control parameters of the artificial bee colony algorithm were examined to determine for the best performance of the noise elimination problem on gray level digital images. In order to eliminate a noise, a two dimensional finite impulse response digital filter was designed and the artificial bee colony algorithm was used to adjus...
In this paper, a filter design approach which uses the harmony search algorithm for additive white Gaussian noise cancellation through an infinite impulse response digital filter, is described. In the digital filter design, a mitral valve Doppler signal and a 4th degree infinite impulse response digital filter were used. In order to improve the des...
Biomedical signals are usually contaminated by noise generated from sources such as power line interference and disturbances produced by the movement of the recording electrodes. Also the signal-to-noise ratio of biomedical signals is usually quite low. In addition, biomedical signals often interfere with each other. Therefore, the filters employed...
In this paper, a new method based on the modified artificial bee colony (MABC) algorithm to determine the main characteristic parameters of the Schottky barrier diode such as barrier height, ideality factor and series resistance. For this model, the Ni/n-GaAs/In Schottky barrier diode was produced and annealed at different temperature in a laborato...
Computerized processes are supportive in the new age of medical treatment. Biomedical signals which are collected from the human body supply or important useful data that are related with the biological actions of human body organs. However, these signals may also contain some noise. Heart waves are commonly classified as biomedical signals and are...
In this paper, a new design approach that has employed the artificial bee colony algorithm for image denoising using two dimensional finite impulse response digital filter, is discussed. Four different images have been used for testing. The white Gaussian noise has been added to each of the images and the two dimensional finite impulse response dig...
The heart valves are most important parts of the heart. The biomedical signals such as aortic valve Doppler signals are sensitive to noise and interference. In this paper, aortic valve Doppler noise is eliminated with an infinite impulse response (IIR) filter. Filter coefficients were determined with sampled aortic signal using a swarm intelligence...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-organized swarms. The well known examples for these swarms are bird flocks, fish schools and the colony of social insects such as termites, ants and bees. In 1990s, especially two approaches based on ant colony and on fish schooling/bird flocking introd...
Artificial bee colony algorithm simulating the intelligent foraging behavior of honey bee
swarms is one of the most popular swarm based optimization algorithms. It has been introduced
in 2005 and applied in several fields to solve different problems up to date. In this
paper, an artificial bee colony algorithm, called as Artificial Bee Colony Progr...
In this paper, a new method based on the Artificial Bee Colony (ABC) for determining the Schottky barrier height (Φb), ideality factor (n) and series resistance (RS) of a Schottky barrier diode (SBD) model using forward current-voltage (I-V) characteristics, is described. For this SBD model, the Ni/n- GaAs/In Schottky barrier diode was produced in...
The uni-modal error surfaces and intrinsic stable behaviors of adaptive finite impulse response (FIR) filters make gradient based algorithms very effective in the design of these filters. Gradient based design methods are well developed for the design of adaptive FIR filters and widely applied to the distinct areas such as noise cancellation, syste...
Digital filters can be broadly classified into two groups: recursive (infinite impulse response (IIR)) and non-recursive (finite impulse response (FIR)). An IIR filter can provide a much better performance than the FIR filter having the same number of coefficients. However, IIR filters might have a multi-modal error surface. Therefore, a reliable d...
The generalized multicarrier direct sequence code-division multiple-access (MC DS-CDMA) is a well known model that can be extended to different MC DS-CDMA schemes by simply varying a single parameter called as normalized subcarrier spacing. In this paper, the effect of the rate of average power decay on the bit error rate (BER) performance of the g...
There are two important problems encountered in the design of adaptif IIR filters, i.) the filter can not show an intrinsic stable behaviour during the adaptation process, it sometimes become unstable, ii.) they can not always reach to the optimal solutions because of their multi-modal error surfaces. Although these diffuculties of daptive IIR filt...
In this paper differential evolution algorithm is applied to the design of noise canceller which is based on adaptive finite impulse response (FIR) filters. The performance of the proposed noise canceller is investigated for filters having different orders.
Adaptive filters are digital filters capable of self-adjustment. If the statistical characteristic of the input data varies with respect to time or the required knowledge about input data is not satisfactory, adaptive filters are needed. In this paper, an adaptive finite impulse response filter is designed by using Differential Evolution Algorithm...
In this paper, the application of adaptive system identification based on genetic algorithm is realized. A high order unknown plant is modeled with a lower order adaptive finite impulse response (FIR) filter. Also, a performance comparison has been made between the conventional gradient based least mean square (LMS) algorithm and genetic algorithm...
The differential evolution (DE) algorithm is a new heuristic approach with three main advantages: it finds the true global
minimum of a multimodal search space regardless of the initial parameter values, it has fast convergence, and it uses only
a few control parameters. The DE algorithm, which has been proposed particularly for numeric optimizatio...
This paper presents the application of Differential Evolution (DE), an Evolutionary Computation method, for the optimization
of adaptive FIR filter weights. This method is robust and easy to use and requires a few control variables. Since the algorithm
uses differential property, it has a good convergence speed and also quite robust in the case of...
Over the recent years, several studies have been carried out by the researchers to describe a general, flexible and powerful design method based on modern heuristic optimisation algorithms for infinite impulse response (IIR) digital filters since these algorithms have the ability of finding global optimal solution in a nonlinear search space. One o...
Purpose – The purpose of the paper is to present a novel design method for the optimal finite word length (FWL) finite impulse response (FIR) filters. Design/methodology/approach – The design method is based on a parallel tabu search (TS) algorithm which uses the crossover operator of the genetic algorithm. Findings – Three design examples have bee...
Elektronik cihazların birçoğunda kullanılan temel elemanlardan birisi sayısal süzgeçlerdir. Sayısal süzgeçlerin donanımsal olarak gerçekleştirilmesinde farklı yaklaşımlar mevcuttur. APKD (Alan Programlanabilir Kapı Dizisi – FPGA, Field Programmable Gate Array Logic )’ ler, mikro denetleyiciler veya opamplar vb. kullanılarak sayısal süzgeçler gerçek...
Doğrusal zamanla değişmeyen sistemler dürtü cevaplarına göre sınıflandırılabilirler. Eğer dürtü cevabı sınırlı süreli ise, sistem sınırlı dürtü cevaplı (FIR) sistem olarak adlandırılır. Bir FIR süzgeç çıkışı şimdiki ve geçmişteki giriş değerlerinin ağırlıklı toplamından oluşan bir süzgeç olarak tanımlanabilir. Bir çok elektronik cihazda sayısal süz...
Differential Evolution (DE) algorithm is a new heuristic approach which has been proposed particulary for numeric optimization
problems. It is a population based algorithm like genetic algorithms using the similar operators; crossover, mutation and
selection. In this work, DE algorithm has been applied to the design of fixed point digital Finite Im...
Any digital signal processing algorithm or processor can be reasonably described as a digital filter. The main advantage of an infinite impulse response filter is that it can provide a much better performance than the finite impulse response filter having the same number of coefficients. However, they might have a multi-modal error surface. Differe...
Any digital signal processing algorithm or processor can be reasonably described as a digital filter. The main advantage of an infinite impulse response (IIR) filter is that it can provide a much better performance than the finite impulse response (FIR) filter having the same number of coefficients. However, they might have a multimodal error surfa...
Adaptive digital filters have proven their worth in a wide range of applications such as channel equalisation, noise reduction, echo cancelling, and system identification. These filters can be broadly classified into two groups: finite impulse–response (FIR) and infinite impulse–response (IIR) filters. IIR filters have become the target of increasi...
Nowadays, internet is based on TCP/IP(transmission control protocol / internet protocol) which is a protocol group including such as UDP, ICMP, ARP protocols. This Project is intended to make it possible to communicate using the TCP/IP protocol suite even on small 8-bit microcontrollers. Traditional TCP/IP implementations requires too much resource...
Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global
minimum of a multi modal search space regardless of the initial parameter values, fast convergence, and using a few control
parameters. DE algorithm which has been proposed particulary for numeric optimization problems is a popu...
In order to transform and analyse signals that have been sampled from analogue sources, digital signal processing (DSP) algorithms are employed. The advantages of DSP are based on the fact that the performance of the applied algorithm is always predictable. There is no dependence on the tolerances of electrical components as in analogue systems. DS...
Infinite Impulse Response filters are an important class of digital filters which are significantly important in cases where sharp cut-off and high throughput are desired. However, the unstability problem and the phase distortion occurring during the design process of an infinite impulse response filter are significant disadvantages for these filte...
Genetic algorithm (GA) based design techniques are widely proposed for digital filters. However, the instability problem for IIR filters and the phase distortion for FIR and IIR filters occurring during the design process are important disadvantages for digital filters. In this work, an effective design method using GA for minimum phase and stable...
A new and flexible method is presented that is based on the ant colony optimization algorithm for the pattern synthesis of linear antenna arrays with the prescribed nulls. Nulling of the pattern is achieved by controlling only the amplitude of each array element. To show the versatility of the present method, some design specifications such as the...
A new, very simple expression for the effective patch radius is presented for the resonant frequency of electrically thick circular microstrip patch antennae. It is obtained by using a modified tabu search algorithm, and is useful for the computer-aided design (CAD) of microstrip antennae. The theoretical resonant frequency results obtained by usin...
A novel method is presented for designing digital FIR filters. The
method is based on a parallel Tabu search algorithm. The proposed
approach has proved to be highly effective and produced a good solution
to the design of a digital FIR linear phase filter
A new, very simple expression for the effective side length is presented for the resonant frequency of the equilateral triangular microstrip patch antenna. It is obtained by using a modified genetic algorithm, and useful to antenna engineers for accurately predicting the resonant frequencies of the equilateral triangular microstrip antennas. The th...
The quantisation process of filter coefficients required due to the finite length of the register provided to store the coefficients is an important step in the realization of a given filter. This process must be optimally carried out to minimise the error in the filter response caused by the quantisation of coefficients. Genetic algorithm is a heu...
zetçe Adaptif IIR filtre tasarımı için hata yüzeyinin küresel minimasını uygun süre içerisinde bulma kabiliyetine sahip sezgisel algoritmalar ümit verici metodlar olarak görülmektedir. Bu çalışmada, komşuluk prensibine göre araştırma yapan ve küresel minimayı bulma yeteneğine sahip bir tür sezgisel algoritma olan tabu araştırma algoritmasına dayalı...