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Discrete-Time Speech Signal Processing: Principles and Practice Thomas F. Quatieri
Publisher: Prentice Hall

Where the measurement function h : ℝd→ ℝ projects the state vector u(t) onto the discrete-time signal at time instances nΔt where Δt is the sampling time, and n ∈ ℤ is the time index. €� London : ISTE ; Hoboken, NJ : Wiley, 2008. Oriented Approach”- Signal Processing and Communication Series- Printed in USA- 2003 2. Practice”- Pearson Education- New Delhi- 2006 3. Mani Subramaniam, “Network Management: Principles and Practice“, Addison Wesley”, First Edition, 2001. Another reason for the limitations of these methods is that they are based upon classical linear signal processing methods that are insensitive to the inherent biophysical nonlinearity and non- Gaussianity in speech [1]. Quatieri, “Discrete-time Speech Signal Processing”, Prentice Hall, 2001. Discrete-time speech signal processing :principles and practice /Thomas F. Time-frequency analysis :concepts and tools /edited by Franz Hlawatsch and Francois Auger. Thomas F-Quatieri- “Discrete Time Speech Signal Processing: Principles and. Contain valuable clinical information [2].