Audio Compression Using Logarithmic Approach for PSNR Enhancement Abstract – With increasing needs of higher data rates, compression technology for multimedia content has become extremely crucial. This paper presents a compression technique that uses Logarithmic mathematical function for compression of audio data. This technique is characterized by its fast encoding and decoding speeds for high fidelity audio. More over the system design required for it is extremely simple and it gives comparatively higher PSNR (Peak Signal to Noise Ratio) when compared with other standards like Mp3 and G.711, rendering it to be a highly feasible option for a compression codec as well as a suitable alternative for a media container. Keywords- Logarithm, Audio Compression, Mp3, PSNR I. INTRODUCTION In today’s world, sharing of information over the World Wide Web has grown extensively. In terms of information content, multimedia content is essentially dominant a part and parcel of the overall information content [7]. Due to such evolution various high fidelity compressions standards have been developed but they lack system simplicity. On a cost to effectiveness basis, productivity gained through multimedia content should be balanced with the cost incurred. Thus due to such economical constraints there is a dire need of a compression standard which offers effective compression along with low cost incurred in system design. This paper aims to exploit this flaw in the currently used standards. It provides an overview to a new technique that uses the mathematical function of Logarithm for compression of data. The implementation of the function of Logarithm is highly simple rendering trifling system complexity and high fidelity compression. The proposed method when compared with other existing standards like Mp3 encoder or G.711 compression format shows better data retrievability which is verified using simulation results in MATLAB 7.5.0 (R2007b)[8]. II. ANALYSIS OF PROPOSED AUDIO COMPRESSION TECHNIQUE A. Motivation The premise of the work presented in this paper rests in the fact that the mathematical function of Logarithm has the intrinsic property to provide compression to any data. It can encode 14 and 13 bit signed linear PCM samples to logarithmic 8 bit samples [5]. This property of Logarithm has been exploited here in. B. Proposed Compression technique The original wave signal, a 12 second mono audio piano piece generated from Casio MA-120 at 44100 Hz, is used for analysis. The first 32000 samples of this signal are as shown in Figure 1. Figure 1. Initial 32000 samples of original signal Joshi Anikkumar A Dept. of E & C, Institute of Technology, Nirma University S.G. Highway, Ahmdebad-382481 Gujarat, India. anik_joshi@yahoo.co.in Mehta Ashish H. Dept. of E & C, Institute of Technology, Nirma University S.G. Highway, Ahmdebad-382481 Gujarat, India. mehtaashishh@gmail.com Prof. N.P.Gajjar Asso. Prof Dept of E & C, Institute of Technology, Nirma Universty S.G. Highway, Ahmedabad – 382481 Gujarat, India. nagendra.gajjar@nirmauni.ac.in Prof. D. G. Shah Asst. Prof Dept. of E & C, Institute of Technology, Nirma University S.G. Highway, Ahmdebad-382481 Gujarat, India. dhaval.shah@nirmauni.ac.in