IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 6 Ver. I (Nov – Dec. 2015), PP 142-150 www.iosrjournals.org DOI: 10.9790/1676-1061142150 www.iosrjournals.org 142 | Page Performance Analysis of Fractional Sample Rate Converter Using Audio Applications Priya Kaushal [1], Rajesh Mehra [2] ME Scholar [1] , AssociateProfessor [2] 1 (Department of Electronics & Communication Engineering, NITTTR Chandigarh, India) 2 (Department of Electronics & Communication Engineering,NITTTR Chandigarh, India) Priya24kaushal1993@gmail.com,raheshmehra@yahoo.com Abstract: Fractional rate converters which are generally used for many applications with different frequencies and are an essential part of communication systems. In this paper fractional rate converter with use of both FIR and Nyquist FIR have been compared and analyzed. Its implementation can be easily found in the developing communication systems, but here results are taken for audio applications. The proposed design and analysis have been developed with the help of MATLAB with order 50 for FIR and 71 for Nyquist, sampling frequency 48000Hz. The filters are then interpolated by an interpolation factor 2 and decimated by a decimation factor of 3. The cost implementation of both has been taken into consideration and a result is drawn which concludes that fractional rate converter for Nyquist FIR filter much more cost effective as compared to the fractional rate converter for FIR filter. Keywords: Filters,MATLAB, Interpolation,Signal sampling, multirate filtering I. Introduction DIGITAL representation of analog signals has a lot of advantages but changing the sampling rate of a required signal is the major problem, either increasing it or decreasing it by some required amount. For example, in communication system to transmits and receives the signals of different types (e.g. video, fax, speech etc.), in this case require to process the various signals at the different rates with respective bandwidth of the signals. The process of converting a signal from a given rate toanother required rate is called as “sampling rate conversion” and the in the processing of digital signals systems that apply multiple sampling rates are called as “Multirate digital signal processing system” [1]. The need for digital products are growing day by day with programmability. Various industries like audio, video, and cellular industry rely heavily on digital technology [8]. In digital communication, we require Multirate digital signal processing where more than one sampling rate are needed. In digital audio applications of communication, the different sampling rates used are broadcasting use 32 KHz, compact disc use 44.1 KHz and audio tape use 48 KHz. In digital video applications, the sampling rates for composite video signal are 14.3181818 MHz for NTSC and 17.734475 MHz for PAL. But the digital component of video signals have sampling rates are 13.5 MHz for luminance and 6.75 MHz for color difference signal. Different sampling rate are obtained by up sampler and down sampler .The digital signal processing is used for various field are communication system, speech and audio processing systems, antenna systems and radar system.Digital signal processing is also have advantages in multirate signal processing because of less computational requirements, less storage for filter coefficient , less finite arithmetic efficient, in multirate application, low finite order required and less sensitivity to filter coefficient length. Pseudo image for interpolation and aliasing effect for decimation should be avoided during the design of multirate systems [2]. II. Sampling Consider continuous signal be x=(10, 9,8, 7, 6, 5, 4, 3, 2, 1,) and signal time is t (in sec), then x (t) be a continuous signal which is time varying that sampled with T sampling period at regular intervals of time. Then continuous sampling signal x (t) is given by: X() = ()= − ∞<<∞ (1)