iosr-JVSP   Volume-6 ~ Issue-2 ~ March-April 2016

ABSTRACT: Stegnography hides the message information inside a specific digital media. In this paper we propose image steganography using CDF-5/3 lift-DWT and Least Significant Bit (LSB) technique. First CDF-5/3 lift-DWT is applied to cover image to generate LL, LH, HL and HH sub-bands. The message information is converted into corresponding ASCII code simultaneously. This code is embedded onto the LL band co-efficients of cover image whose positions are derived from shared key and perform inverse DWT to get stegano image which increase the security of message without degrading the quality of cover image.

Keywords: Discrete Wavelet Transform, Image Hiding, LSB Technique and Stegnography.

[1] Behrouz A. Forouzan, "Cryptography and Network Security", Tata McGraw-Hill, 2007.
[2] AnirbanGoswami, Dipankar Pal and NabinGhoshal, "Authentication Technique for Gray Images using DCT," Third International Conference on Emerging Applications of Information Technology, pp. 421 - 424, 2012.
[3] T Narasimmalou and Allen Joseph R, "Optimized Discrete Wavelet Transform based Steganography," IEEE International Conference on Advanced Communication Control and Computing Technologies, pp. 88 – 91, 2012.
[4] NedaRaftari and Amir MasoudEftekhariMoghadam, "Digital Image Steganography Based on Integer Wavelet Transform and Assignment Algorithm," Sixth Asia Modeling Symposium, pp. 87 – 92, 2012.
[5] SudhirKeshari and ShriGopalModani, "Weighted Fractional Fourier Transform based Image Steganography," International Conference on Recent Trends in Information Systems pp. 214 – 217, 2011.

ABSTRACT: This paper presents a Tool, designed in MATLAB mostly used to find and compare various types of features of speech signals which are used in Speaker Diarization system. It includes fundamental frequency, spectrogram, formant frequency, Mel Frequency Cepstral Coefficient (MFCC) and Vector Quantized-MFCC. Two applications for which the tool has been used are presented: one for recordings of single speaker and other for multiple speakers using single distant microphone (SDM). At the end, using cosine correlation method, various features are compared and found Modified MFCC is the best..

Keywords:Fundamental Frequency, Formant Frequency, MFCC, Spectrogram, Speaker Diarization

[1] X. Anguera, S. Bozonnet, N. Evans, C. Fredouille, G. Friedland, and O. Vinyals, "Speaker diarization : A review of recent research," IEEE Transactions on Audio, Speech and Language Processing., 20(2), February 2012, 356–370.
[2] M.T. Knox, N. Mirghafori, G. Friedland, "Exploring methods of improving accuracy for speaker diarization",in Interspeech Conf., Lyon, France, August 25-29, 2013, 2783-2787.
[3] S. Engelberg, Y. Saidoff, and Y. Israeli, "Voice identification through spectral analysis," IEEE Instrumentation and Measurement Magazine.October 2006, 52-55.
[4] Lee Chulhee, Hyun D., Choi Euisun, Lee Chungyong "Optimization Feature Extraction for Speech Recognition," IEEE Transactions on Speech and Audio Processing.11 (1), 2003, 80-87.
[5] Rabiner , L. and Schafer, R., Digital Processing of Speech Signals( Prentice Hall, Inc., Englewood Cliffs, New Jersey, 1978).

ABSTRACT:This paper presents the implementation of convert a two's complement binary number into its canonic signed digit representation. In these CSD recoding circuits are functionally equivalent carriers H and K are described. They are computed in parallel reducing the critical path. They possess some properties that led to a simplification of the algebraic expressions minimizing the overall hardware implementation. When compared with other binary CSD with other architecture, new CSD recoding is more efficient. Power analysis and area estimation are performed for the designed CSDs.

Keywords: Canonic Signed Digit (CSD)

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