Discrete Fourier transform

www.jntuworld.com Department of Electronics and Communication VCET,Hyderabad. DIGITAL SIGNAL PROCESSING LAB MANUAL III YEAR II SEMESTER (ECE) Prepared by: K. Ashok Kumar Reddy Department of Electronics & Communications Engineering, Visvesvaraya College of Engineering & Technology, Ibrahimpatnam. Digital Signal Processing Lab Manual Page 1 www.jntuworld.com www.jntuworld.com Department of Electronics and Communication VCET,Hyderabad. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD III

Abstract Image enhancement is to process an image, in order to make the result more suitable than original image for specific application. i.e. the image is enhanced.For that many image enhancement techniques are used. Appropriate choice of such techniques is very important.Image Enhancement is simple and it’s the area based on digital image processing techniques. It improves the quality of the images by working with the existing data. Keywords: Image processing, Image enhancement 1. Introduction

feature estimation based on BSP. In feature extraction, there are numerous analysis modes, of which the Mel-frequency cepstral (MFC) represents the short-term power spectrum of a speech signal. As MFC is about the power spectrum and requires Fourier Transform, this

Abstract. The growth of internet coupled with the rise in networked infrastructure has resulted in exponential increase in the multimedia content being shared over the communication networks. The advancement in technology has resulted in increase in multimedia piracy. This is due to the fact that it is very easy to copy, duplicate and distributes multimedia content using current day technology. In such a scenario Digital Rights Management is one of the prominent issues to be dealt with and tremendous

A Review of Adaptive Technique for Image Super-resolution Prof. S. P. Bhosale Assistant Professor , Department of electronics, A.I.S.S.M.S COE, Pune, India spbhosale@aisssmscoe.com ABSTRACT Increase in resolution of image has been one driving factor in the development and progress of the fields related to the capture, processing and display of digital images and video. Number of authors has carried out research on various techniques on super-resolution algorithms which are classified into

There are certain inherent flaws with the optical transmission system like inter-symbol interference and noise. This distortion is introduced by the narrow bandwidth and some distortions due to the media through the optical signals travel. The linear transversal filter is used to reduce symbol interference. The system designed to remove unknown distortion is called an adaptive equalizer. The corrective measure is to identify the distortion and adjust accordingly with the objective to remove it. The

Alexander B. Nassif and Jing Yong [7] have proposed a method to identify the consumers generating inter harmonic frequencies. The inter-harmonics can be measured by means of Impedance based approach applied at the metering point. The main idea is that, the inter-harmonic impedance of the system is much smaller than that of an inter-harmonic generating load. This method can identify the source of each inter-harmonic component without having to rely solely on the active power measurement and requires

is governed by the step- size. The frequency-domain (FD) adaptive filter algorithm is known to be able to reduce the numerical complexity by using the overlap-and-save implementation method. It incorporates block updating strategies where the fast Fourier

3.1 Introduction Multicarrier transmission, also known as OFDM is a technique with a long history back to 1960that has recently seen rising popularity in wireless and wire line. In the recent interest in this technique is mainly due to the recent advances in digital signal processing technology. The International standards making use of OFDM for high-speed wireless communications are already established or being established by IEEE 802.11, IEEE, 802.16, IEEE 802.20 and ETSIBRAN committees. For wireless

voice by exploiting human acoustic system and cepstral analysis. MFCC is widely accepted as a baseline for voice recognition due to these unique features. KeywordsMFCC, Vector Quantization, Speaker recognition, Feature extraction, Fast Fourier Transform Introduction Human speech is the most natural form of communication and conveys both meaning and identity. The identity of a speaker can be determined from the information contained in the speech signal through speaker identification. Speaker