Silicon Machine is started by Dr. Ganesh Bhokare, having 15+ experience in SW & FW design & development in DSP, Audio, Video & Embedded systems on various DSP embedded platforms such as TI, AD and various proprietary platforms. His core research area is Audio, image and vide o signal processing.

He has completed Ph. D. and M. Tech. from IIT Mumbai (India), in Electronics Communication with specialization in Signal Processing.

His Ph.D. research topic was “Novel Image Compression Algorithms based on Embedded Zero Tree Coding in Discrete Wavelet Transform”. The algorithm developed in this research outperforms latest JPEG-2000 algorithm by 1dB in terms of PSNR for natural images and around 4-5dB for finger print images. The peculiarity of this algorithm is for more textured images it gives higher PSNR which is not case with other existing algorithms.

Following are his publications:

	Efficient Coding of Sparse Trees using Enhanced-EZW Algorithm. Accepted by Springer journal on Signal, Image and Video Processing for publication, Springer proof submitted, Manuscript No. 1278.
	Tree Structures and Algorithms for Hybrid Transforms.  In the Proceedings of IEEE Signal Processing and Communications (SPCOM), , pp. 1-5, 18-21 July 2010. IISc Bangalore, India.
	Digital watermarking with 3-bank filter bank. In the Proceedings of National Conference on Communications, NCC’08, pp. 337-341, February 1-3, 2007, IIT Bombay, India.
	A New wavelet based scheme for blind watermarking. In the Proceedings of National Conference on Communications, NCC’06, pp. 521-525, February 1-3, 2006, IIT Delhi, India.
	Modified EZW coding for the M-band wavelet transform and its applications to Image compression. In the Proceedings of IEEE Conference on Signal Processing, January 2005, France.
	Video Compression using M-Band Wavelet Transform. In the Proceedings of National Conference on Communications, NCC’04, pp. 404-408, December  28-30, 2004, IIT Kharagpur, India.