C. Dhanunjaya Naidu

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The present work is an attempt to develop a commercially viable and a robust character recognizer for Telugu texts. We aim at designing a recognizer which exploits the inherent characteristics of the Telugu Script. Our proposed method uses wavelet multiresolution analysis for the purpose extracting features and associative memory model to accomplish the(More)
Compressive Sensing is the present sampling paradigm which acquires only useful data, and hence reduces the acquisition time, eliminates the necessity of fast analog to digital converters and data compression stage, prior to transmission. Challenge lies in recovering the data from these few samples, which are far below Nyquist rate. Compressive sensing(More)
This paper proposed an adaptive hybrid speech enhancement algorithm to reduce the non-stationary noise of a noise contaminated speech. This approach combines the Discrete Cosine Transform (DCT) with an Adaptive Empirical Mode Decomposition (AEMD). The proposed DCT is an extension to the general DCT and the AEMD was developed by adding an extra noise(More)
This paper presents an electromagnetic wave propagation model of a human thorax and also an estimation of the propagation characteristics of the model for frequencies ranging from UHF to S-band. As the heart size varies in a cardiac cycle, the characteristic variation of the propagation parameters such as reflection coefficient, signal attenuation etc.,(More)
Multi spectral images are of high resolution which requires a lot of memory to store and transmit. In order to overcome these limitations compression is applied wherein the fine details of the image will be lost due to the poor quality of image after compression. To reconstruct back the same resolution with same quality involves the super resolution (SR)(More)
Generally, Speech enhancement aims to improve speech quality and intelligibility of a noise contaminated speech signal by using various signal processing approaches. Removal of a noise from a noisy speech is a common problem; already a vast research was carried out in earlier. However, due to the characteristics of various types of noises, the approaches(More)
The general encryption mechanism involves conversion of plain text into cipher text and decryption as vice versa, as well as multimedia(such as images, video, etc.,) the momentous aspect over here is that the converted cipher text always produces greater size than the original plain text. As there are innumerable number of internet users these days, more(More)
This paper provides a new technique for lossy multispectral images compression at very high data rates. Image compression is becoming more and more important, as new multispectral instruments are going to generate very high data rates due to the increased spatial and spectral resolutions. The Lossless compression does not provide a sufficient degree of data(More)
The continuous growth of mobile, desktop and wired and wireless digital communication technologies has made the extensive use of the text data unavoidable. The basic characteristics of text data like transmission rate, bandwidth, redundancy, bulk capacity and co-relation among text data makes basic compression algorithms mandatory. The research exploration(More)