Designing a Low- Pass Fir Digital Filter by Using Hamming Window and Blackman Window Technique
Mohammed Mynuddin,
Md. Tanjimuddin,
Md. Masud Rana,
Abdullah
Issue:
Volume 4, Issue 2, April 2015
Pages:
9-13
Received:
23 April 2015
Accepted:
1 May 2015
Published:
3 June 2015
Abstract: In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancellation of noise we use various type of digital filter. In signal processing, there are mainly two types of filters exist .they are the Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter. Finite Impulse Response (FIR) filter can be designed form Infinite Impulse Response (IIR) filter by various techniques. The widely used technique is the window technique. This paper low-pass FIR filter is implemented using an efficient adjustable window function based on Hamming window and Blackman window function. The output of the FIR design by Blackman window and the Blackman window are shown in this paper by simulating the code in Matlab. The Matlab program returns with a satisfactory result with proper magnitude plotting.
Abstract: In this paper is simulated the time- domain unit sample response of sine function and frequency- domain response of sine function. Digital filter plays an important role in today’s world of communication and computation. Without digital filter we cannot think about proper communication because noise occurs in channel. For removing noise or cancella...
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A Critical Review on Automatic Speaker Recognition
Nilu Singh,
Alka Agrawal,
Raees Ahmad Khan
Issue:
Volume 4, Issue 2, April 2015
Pages:
14-17
Received:
8 July 2015
Accepted:
14 July 2015
Published:
28 July 2015
Abstract: Automatic Speaker Recognition (ASR) is use to recognizing persons from their voice. Since the voice of every human is not same because their vocal tract shapes, larynx sizes and other parts of a human voice production system. Automatic Speaker recognition is a procedure to automatically recognizing a speaker or who is speaking by the individual information counted in speech signal/waves. Automatic speaker recognition technique makes it possible to use the speaker's speech to verify their identity. It have many applications for example control access to services such as voice mail, voice dialing, banking by telephone, remote access to computers, telephone shopping, information services, database access services and security control for confidential information areas.
Abstract: Automatic Speaker Recognition (ASR) is use to recognizing persons from their voice. Since the voice of every human is not same because their vocal tract shapes, larynx sizes and other parts of a human voice production system. Automatic Speaker recognition is a procedure to automatically recognizing a speaker or who is speaking by the individual inf...
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