IEEE SIGNAL PROCESSING LETTERS Technical Paper Review Form Manuscript # ___________________________ Date Submitted ___________________________ Number of Pages Submitted _______6________ Number Estimated Final Pages: _____________ Author(s)____M. A. U. Khan _______________ _________________________________________ _________________________________________ _________________________________________ _________________________________________ Title____Design and Analysis of sigma Tree__ __based Trellis-coded Residual Vector _______ __Quantization____________________________ Review Due Date: ____________ Name of Associate: ___________ Associate Editor Contact Information: _________________________________ _________________________________ _________________________________ _________________________________ _________________________________ _________________________________ ________________________________ _________________________________ _________________________________ The IEEE Signal Processing Letter, published by IEEE Signal Processing Society presents original, comprehensive, in-depth technical papers for knowledgeable readers, including researchers and practitioners. The papers are of long-range interest and are significant to signal processing and related disciplines. All submitted papers undergo multiple, rigorous,”blind”peer review. The Transactions are: IEEE Signal Processing Letters As a participant in the peer review of this manuscript, you are required to complete this form and return it, within (7) seven days of receipt of this manuscript, to Signal Processing Society Publications Office. Your comments will assist the Associate Editor in determining the final disposition of the manuscript. Your identity will be held in confidence from the author. I. REVIEW Please expand and give details in Section III. A. Suitability of Topic 1. Is the topic appropriate for publication in the IEEE Signal Processing Letters? X Yes Perhaps No 2. Is the topic important to colleagues working in the field? X Yes Moderately so No (explain) ________________________________________________________________ ________________________________________________________________ How would you rate the technical novelty of the paper? _____ Novel __X__ Somewhat Novel _____ Not Novel B. (Please see the other side) C. 1. 2. Presentation How would you rate the English usage? X Satisfactory Needs Improvement Poor Rate the references? X Satisfactory Unsatisfactory (explain) ________________________________________________________________________ ________________________________________________________________________ II RECOMMENDATION A Publish Unaltered AQ Publish with Minor, Required Changes (as noted in Section III) X R Reject (Paper is seriously flawed and should not be resubmitted.) III Comments: The author describes a novel sigma tree based design of a TCRVQ. TCVRQs have been exploited in literature with interesting result and this design is, to the best of my knowledge, original. Unfortunately, the paper only reports of a series of experiments and the results of these experiments are very poor. The only case in which this design improves upon a TCVRQ is in the case of a 2 dimensional uniform source encoded at 2 bit/sample and, even in this case, the improvement is marginal (0.09dB). No sufficient justification is given in the paper on why this method has some advantage over more traditional designs and no theoretical analysis is present. IV. Confidential- This portion will not be sent to the Author Do you know of others who would be competent to review this paper? If so, please provide names and contact information (e-mail and fax preferred). ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ ________________________ Signature of Reviewer _____________________ Review Completion Date Reviewer Name: ________________________________________________________________ Reviewer Street Address: _________________________________________________________ _______________________________________________________________________________ _______________________________________________________________________________