International Journal of Advanced Networking and Applications

3545-3556

Authors: Dr.P.Kannan, G.Bharatha Sreeja, J. Hermus Mary Shifani

The discrete time systems that process data at more than one sampling rate are known as multirate systems. The two basic operations in multirate signal processing are decimation and interpolation.One of the important applications of multirate signal processing is sub-band coding of speech signal. In the proposed system, speech signal is taken as input signal. Additive White Gaussian Noise is added with the input speech signal. The input speech signal spectrum is divided into frequency sub-bands using a bank of finite response filters. Hamming, Hanning, Blackman, Rectangular and Kaiser windowing methods are used to implement the low pass and high pass filters. Finally performance of the proposed system is evaluated on the TIMIT data base using the parameters like leakage factor, main lobe width, side lobe attenuation, peak amplitude of side lobe and signal to noise ratio. The performance evaluation shows which window is suitable for designing the finite impulse response filters and sub-band coding system.

3563-3570

Authors: Dr. P. Kannan, A. Antony Licy, Dr. R. Shantha Selva Kumari

Low Noise Amplifier (LNA) is a digital amplifier that amplifies a completely low strength signal without drastically degrading its sign to the noise ratio. It's far in any other case known as block down converter. Its miles designed to decrease the additional noise. Here, the low noise amplifier (LNA) is designed the use of a new configuration of high-quality remarks advantage enhancement technique that's suitable for low energy and coffee noise packages. On this proposed technique, additional wonderful comments capacitor is attached to any of the transistor terminal, which will increase voltage benefit due to reducing the entire transconductance. The everyday amplifier circuit is designed the use of energy constrained simultaneous noise and input matching (PCSNIM) method. This technique is used to gain simultaneous enter impedance and minimal noise matching. By means of using this advantage stronger method, the gain of the LNA has been elevated and noise parent is reduced without sacrificing bandwidth, linearity and electricity intake. In this paper we attain 8.620 dB of gain at 4GHz frequency by way of the usage of superb feedback capacitor and interstage matching inductor and also the design of Ultra Wide Band (UWB) LNA provides 14.62dB gain by using inductive source degeneration topology.

3580-3587

Authors: Sunil S Harakannanavar1, K S Prabhushetty2, Chaitra Hugar3, Ashwini Sheravi3, Mrunali Badiger3, Prema Patil3

The iris pattern is an important biological feature of human body. The recognition of an individual based on iris pattern is gaining more popularity due to the uniqueness of the pattern among the people. In this paper, the iris images are read from the database and preprocessing is performed to enhance the quality of images. Further the iris and pupil boundaries are detected using circular Hough transform and normalization is performed by using Dougman’s rubber sheet model. The fusion is performed in patch level. For performing fusion, the image is converted in to 3x3 patches for mask image and converted rubber sheet model. Patch conversion is done by sliding window technique. So that local information for individual pixels can be extracted. The desired features are extracted by block based empirical mode decomposition as a low pass filter to analyze iris images. Finally the matching between the database image and test image is performed using Euclidean Distance classifier. The experimental results shows 100% accuracy on CASIA V1.0 database compared with other state-of-art methods.

3596-3600

Authors: Dr. S. Kiran, R. Pradeep Kumar Reddy, Dr. A. Ashok Kumar, N. Subramanyan

Steganography is the principles and techniques of embedding data within other data. Cryptography is the principles and techniques of changing the data one form to another form. Image Steganography is the process of hiding data within an image. Steganography along with encryption techniques provides an additional security to the data. Several techniques exist for image steganography, in this work, a new lossless image steganography technique along with cryptographic method is presented. Lossless compression is a class of algorithms that allows the original data to be perfectly reconstructed from the compressed data. Present work concentrates the lower nibble of pixels in the cover image for embedding the information; further encryption techniques will be applied. It is not possible for the hacker to retrieve the secured data from the cover image.