Home Technique • Download Digital Processing of Speech Signals (Prentice-Hall Series by Lawrence R. Rabiner, Ronald W. Schafer PDF

Download Digital Processing of Speech Signals (Prentice-Hall Series by Lawrence R. Rabiner, Ronald W. Schafer PDF

By Lawrence R. Rabiner, Ronald W. Schafer

The fabric during this ebook is meant as a one-semester direction in speech processing. the aim of this article is to teach how electronic sign processing concepts will be utilized to difficulties on the topic of speech communique. The publication provides an in depth description of the actual foundation for speech coding together with fourier research, electronic illustration and electronic and time area versions of the wave shape. It is going directly to speak about homomorphic speech processing, linear predictive coding and electronic processing for computing device conversation via voice.

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Extra resources for Digital Processing of Speech Signals (Prentice-Hall Series in Signal Processing)

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Kis-Petikova and Gratton [70] and Berland et al. 2) where w0 is the beam waist, λ is the wavelength, B is the background intensity, and F0 is a constant related to the peak fluorescence intensity. The subscripts p and s refer to the particle and the scanner coordinates, respectively. According to the description above, the scanner coordinates vary as a function of time as follows: x s ( t ) = rxy cos ( 2S f orbit t ) y s ( t ) = rxy sin ( 2S f orbit t ) f t f t ⎡r 0 < orrbit < 1, 2 < orbit < 3….

Sci. USA, 104, 5889–5894. R. (2007) Three-dimensional particle tracking via bifocal imaging. Nanoletters, 7, 2043–2045. P. S. (1994) Tracking of single fluorescent particles in three dimensions: use of cylindrical optics to encode particle position. Biophys. , 67, 1291–1300. , and Schmidt, T. (2007) Nanometric three-dimensional tracking of individual quantum dots in cells. Appl. Phys. , 90, 053902, 1–3. Saffarian, S. and Kirchhausen, T. (2008) Differential evanescence nanometry: live-cell fluorescence measurements with 10-nm axial resolution on the plasma membrane.

3 Positional Accuracy One fundamental approach to specify the achievable position accuracy can be calculated from the amount of information obtained in a given dataset. This measure is termed the Cramer–Rao bound (CRB), and is specified by the inverse of the Fisher information matrix I [47, 48]. For X the observed data and θ the 2 ⎧ ∂ ⎫ unknown parameters are: I (θ ) = E ⎨ ⎡ ln f ( X ; θ )⎤ θ ⎬. The CRB yields a lower ⎢ ⎥ ⎦ ⎭ ⎩ ⎣ ∂θ bound to the variance for any unbiased estimator – that is, in the case of imaging the precision by which the position of a single particle is determined.

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