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Introduction to statistical signal processing with applications Mandyam D. Srinath, P.K. Rajasekaran, R. Viswanathan
Publisher: Prentice Hall

A natural evolution of statistical signal processing, in connection with the progressive increase in computational power, has been exploiting higher-order information. Recently, new transcriptional regulation via competitive endogenous RNA (ceRNAs) has been proposed [20, 21], introducing additional dimension in modeling gene regulation. This type of regulation View at Publisher · View at Google Scholar; M. Davisson This volume describes the essential tools and techniques of statistical signal processing. Building AS/400 Internet-Based Applications with Java Building ASP Applications Building Enterprise Web Transactions using VisualAge Generator JavaBeans and JSPs. Introduction to statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. Building Intranets with IntranetWare. Appropriate for introductory graduate-level courses in Statistical Signal Processing and Detection and Estimation Theory. Huang, “TraceRNA: a web based application for ceRNAs prediction,” in Proceedings of the IEEE Genomic Signal Processing and Statistics Workshop (GENSIPS '12), 2012. The series has been written to provide the reader with a broad introduction to the theory and application of statistical signal processing. Of statistical signal processing. The most complete overview of signal detection available. Fundamentals of Statistical Signal Processing, Volume II: Detection Theory by Steven M. Dear, Does any body have the solution manual for this book "Introduction to Statistical Signal Processing with Applications" by M.D.Srinath. The first volume, Fundamentals of Statistical Signal Processing.