Digital Signal Processing

1504 Submissions

[14] viXra:1504.0214 [pdf] replaced on 2015-05-03 06:28:55

An Improved Slotted Patch Antenna for RFID Application

Authors: Nidhi Lal, Shishupal Kumar, Kshitiza Singh
Comments: 5 Pages.

This paper proposed a radio frequency identification (RFID) Reader Antenna which operates on ISM band with frequency range from 902 to 928 MHz and bandwidth of the antenna is 58MHz. Antenna consist of rectangular patches on Rogers RO4360 substrate with microstrip feed line. Return loss of the antenna comes out to be about -39.98 dB on behalf of the frequency 907MHz. Gain of the proposed antenna is 5.21dB. This antenna is simulated on CST Microwave Studio and the results are thoroughly discussed in the paper.
Category: Digital Signal Processing

[13] viXra:1504.0213 [pdf] replaced on 2015-05-03 06:31:47

Fractal Dual Band Antenna for WLAN Applications

Authors: Nidhi Lal, Shishupal Kumar
Comments: 6 Pages.

Fractal antenna, as name concerns, uses fractal i.e. structure does not change and repeat it when large focus has created upon it. This repetition feature of this antenna provides a great flexibility that it can be designed and can used in different frequencies. These antennas gives a finite area of coverage but the diameter of perimeter becomes infinite. Fractal antenna is used in most of the traditional and innovative applications today. In antenna engineering fractal geometry is very useful for performance improvement, in terms of gain and other things. Fractal antenna gives high performance with high variation in the size of its structure. This paper demonstrates an optimized and compact printed dual band fractal antenna suitable for WLAN applications. The proposed antenna works on 2.4GHz and 5.2 GHz. Simulation results show that the proposed design gives improved performance in terms of return loss and gain.
Category: Digital Signal Processing

[12] viXra:1504.0211 [pdf] replaced on 2015-05-03 06:33:42

Fractal T-Shaped Antenna for WiMAX Applications

Authors: Nidhi Lal, Shishupal Kumar, Shikha Baghel
Comments: 5 Pages.

Fractal antenna, as name concerns, uses fractal i.e. structure does not change and repeat it when large focus has created upon it. This repetition feature of this antenna provides a great flexibility that it can be designed and can used in different frequencies. Fractal geometry has shown its potential in many fields of engineering and technology. In antenna engineering fractal geometry is very useful for performance improvement, in terms of gain and other things. This paper presents a modified fractal T-shape antenna meant for WiMAX applications. The simulation results of the proposed design show that the fractal shape gives better performance than that of existing one. Simulation outcomes also demonstrate that the anticipated design gives enhanced performance in stipulations of return loss. Simulation results show that the operating frequency of the proposed antenna is applicable for WiMAX applications.
Category: Digital Signal Processing

[11] viXra:1504.0188 [pdf] submitted on 2015-04-24 04:40:30

Erratum: Single and Cross-Channel Nonlinear Interference in the Gaussian Noise Model with Rectangular Spectra

Authors: Alberto Bononi, Ottmar Beucher, Paolo Serena
Comments: 1 Page.

We correct a typo in the key equation (20) of reference [Opt.Express 21(26), 32254–32268 (2013)] that shows an upper bound on the cross-channel interference nonlinear coefficient in coherent optical links for which the Gaussian Noise model applies.
Category: Digital Signal Processing

[10] viXra:1504.0168 [pdf] submitted on 2015-04-21 09:37:32

Signal-Processing Strategy for Restoration of Cross-Channel Suppression in Hearing-Impaired Listeners

Authors: V.Purushothaman, Naveen.M, Prem kumar.D, P.Manimaran, K.S.Sivaraman
Comments: 8 Pages.

Because frequency components interact nonlinearly with each other inside the cochlea, the loudness growth of tones is relatively simple in comparison to the loudness growth of complex sounds. The term suppression refers to a reduction in the response growth of one tone in the presence of a second tone. Suppression is a salient feature of normal cochlear processing and contributes to psychophysical masking. Suppression is evident in many measurements of cochlear function in subjects with normal hearing, including distortion-product to acoustic emissions (DPOAEs). Suppression is also evident, to a lesser extent, in subjects with mild-to moderate hearing loss. This paper describes a hearing-aid signal processing strategy that aims to restore both loudness growth and two-tone suppression in hearing-impaired listeners. The prescription of gain for this strategy is based on measurements of loudness by a method known as categorical loudness scaling. The proposed signal-processing strategy reproduces measured DPOAE suppression tuning curves and generalizes to any number of frequency components. The restoration of both normal suppression and normal loudness has the potential to improve hearing-aid performance.
Category: Digital Signal Processing

[9] viXra:1504.0112 [pdf] submitted on 2015-04-14 07:11:26

A Segmented DAC based Sigma-Delta ADC by Employing DWA

Authors: Sakineh Jahangirzadeh, Ebrahim Farshidiy
Comments: 10 Pages.

Data weighted averaging algorithm work well for relatively low quantization levels , it begin to present significant problems when internal quantization levels are extended farther. Each additional bit of internal quantization causes an exponential increase in the complexity, size, and power dissipation of the DWA logic and DAC. This is because DWA algorithms work with unit-element DACs. The DAC must have 2N - 1 elements (where N is the number of bits of internal quantization), and the DWA logic must deal with the control signals feeding those 2N-1 unit elements. This paper discusses the prospect of using a segmented feedback path with coarse and ne signals to reduce DWA complexity for modulators with large internal quantizers. However, it also creates additional problems. mathematical analysis of the problems involved with segmenting the digital word in a P- ADC feedback path are presented, along with a potential solution that uses frequency-shapes this mismatch error. A potential circuit design for the frequency-shaping method is presented in detail. Mathematical analysis and behavioral simulation results are presented.
Category: Digital Signal Processing

[8] viXra:1504.0111 [pdf] submitted on 2015-04-14 07:13:44

Analysis Bio-Potential to Ascertain Movements for Prosthetic Arm with Different Weights Using Labview

Authors: Yadvendra Singh, Nirbhow Jap Singhy, Ravinder Aggarwalz
Comments: 15 Pages.

The Prosthetic is a branch of biomedical engineering that deals with missing human body parts with artificial one. SEMG powered prosthetic required SEMG signals. The SEMG is a common method of measurement of muscle activity. The analysis of SEMG signals depends on a number of factors, such as amplitude as well as time and frequency domain properties. In the present work, the study of SEMG signals at different location, below elbow and bicep branchii muscles for two operation of hand like grip the different weights and lift the different weights are carried out. SEMG signals are extracted by using a single channel SEMG amplifier. Biokit Datascope is used to acquire the SEMG signals from the hardware. After acquiring the data from two selected location, analysis are done for the estimation of parameters of the SEMG signal using LabVIEW 2012 (evaluation copy). An interpretation of grip/lift operations using time domain features like root mean square (rms) value, zero crossing rate, mean absolute value and integrated value of the EMG signal are carried out. For this study 30 university students are used as subjects with 12 female and 18 male that will be a very helpful for the research in understanding the behavior of SEMG for the development for the prosthetic hand.
Category: Digital Signal Processing

[7] viXra:1504.0110 [pdf] submitted on 2015-04-14 07:14:54

Design and Control of Grid Interfaced Voltage Source Inverter with Output LCL Filter

Authors: Sajad Sarajian
Comments: 15 Pages.

This paper presents design and analysis of an LCL-based voltage source converter using for delivering power of a distributed generation source to power utility and local load. LCL filer in output of the converter analytically is designed and its different transfer functions are obtained for assessment on elimination of any probable parallel resonant in power system. The power converter uses a controller system to work on two modes of operation, stand-alone and grid-connected modes, and also has a seamless transfer between these two modes of operation. Furthermore, a fast semiconductor-based protection system is designed for the power converter. Performance of the designed grid interface converter is evaluated by using an 85kV A industrial setup.
Category: Digital Signal Processing

[6] viXra:1504.0109 [pdf] submitted on 2015-04-14 07:17:27

FF Algorithm for Design of SSSC-Based Facts Controller

Authors: S.C.Swain, Susmita Panday, Priyanka Karz
Comments: 14 Pages.

Power-system stability improvement by a static synchronous series compensator (SSSC)- based damping controller considering dynamic power system load is thoroughly investigated in this paper. Only remote input signal is used as input to the SSSC-based controller. For the controller design, Firefly algorithm is used to find out the optimal controller parameters. To check for the robustness and effectiveness of the proposed controller, the system is subjected to various disturbances for both single-machine infinite bus power system and multi-machine power system. Detailed analysis regarding dynamic load is done taking practical power system loads into consideration. Simulation results are presented.
Category: Digital Signal Processing

[5] viXra:1504.0108 [pdf] submitted on 2015-04-14 07:18:42

Verification Method for Energy Saving of Water Chiller

Authors: Yung-Chung Chang, Chai-Chee Kong, Chien-Yi Chen, Jyun-Ting Lu, Tien- Shun Chan
Comments: 20 Pages.

This study used linear regression analysis, neural network and genetic neural network to build the coefficient of performance (COP) model of chiller before the condenser was cleaned respectively. The data were collected after the condenser was cleaned. The model was used to simulate the COP before the condenser was cleaned, and analyzed and compared the simulation results and improvement efficiency of the three methods under the same benchmark. The neural network used backpropagation network, whereas the genetic neural network designed appropriate fitness function according to the simulation result of backpropagation network to search for the optimum weighted value and bias value. This study used two cases for simulation comparison. The results showed that the COP of chiller of Case 1 increased by 3.82% in average, and the COP of chiller of Case 2 increased by 3.78% on average. Generally speaking, the accuracy of simulation by neural network was very high. The genetic neural network searched for the optimum weighted value and bias value according to the designed conditions, so as to achieve the optimized simulation result.
Category: Digital Signal Processing

[4] viXra:1504.0107 [pdf] submitted on 2015-04-14 07:19:42

LCL Filter Design and Current Control of Grid Interfaced Voltage Source Inverter

Authors: Sajad Sarajian
Comments: 19 Pages.

This paper deals with design and implementation of a grid interfaced voltage source converter which uses an LCL passive filter in its output terminal and a Proportional Resonance (PR) controller to delivering power of a distributed generation source to power utility and local load. LCL filer in output of the converter analytically is designed and its different transfer functions are obtained for assessment on elimination of any probable parallel resonant in power system. The power converter uses a controller system to work on two modes of operation, stand-alone and grid-connected modes, and also has a seamless transfer between these two modes of operation. Furthermore, a fast semiconductor-based protection system is designed for the power converter. Performance of the designed grid interface converter is evaluated by using an 85 kVA industrial setup.
Category: Digital Signal Processing

[3] viXra:1504.0106 [pdf] submitted on 2015-04-14 07:21:07

Analysis of Histogram Based Shot Segmentation Techniques for Video Summarization

Authors: Anand P. Mankodia, Satish K. Shah
Comments: 11 Pages.

Content based video indexing and retrieval has its foundations in the analyses of the prime video temporal structures. Thus, technologies for video segmentation have become important for the development of such digital video systems. Dividing a video sequence into shots is the first step towards VCA and content-based video browsing and retrieval. This paper presents analysis of histogram based techniques on the compressed video features. Graphical User Interface is also designed in MATLAB to demonstrate the performance using the common performance parameters like, precision, recall and F1.
Category: Digital Signal Processing

[2] viXra:1504.0105 [pdf] submitted on 2015-04-14 07:22:14

Sliding Mode based D.C.Motor Position Control using Multirate Output Feed back Approach

Authors: Hardik A.Shah, Satish K.Shah, Ami D. Patel
Comments: 11 Pages.

The paper presents discrete time sliding mode Position control of d.c.motor using MROF. Discrete state space model is obtained from continuous time system of d.c.motor. Discrete state variables and control inputs are used for sliding mode controller design using Multirate Output Feed back approach(MROF) with fast output sampling. In this system output is sampled at a faster rate as compared to control input. This approach does not use present output or input. In this paper simulations are carried out for separately excited d.c.motor position control.
Category: Digital Signal Processing

[1] viXra:1504.0087 [pdf] submitted on 2015-04-11 08:36:20

Multiclass Noisy Image Classification Based on Optimal Threshold and Neighboring Window Denoising

Authors: Ajay Kumar Singh, V P Shukla, S R Biradar, Shamik Tiwari
Comments: 11 Pages.

Classification of multi class images is very enviable for different recognition. This is affected by many factors such as noise, blur, low illumination, complex background, occlusion etc. Noise is one of the major factors causing degradation of the classification performance. This paper proposes an efficient method for classification of multi class object images which are corrupted by Gaussian noise. A wavelet transform based denoising scheme by thresholding the wavelet coefficients namely NeighShrink has been utilized to eliminate too many wavelet coefficients that might contain noise information and selecting useful coefficients. This work shows robustness of proposed method of multiclass object classification over the spatial domain denoising and feature extraction method for classification.
Category: Digital Signal Processing