'Hamming window' presentation slideshows

Speech Signal Representations I

Speech Signal Representations I. Seminar Speech Recognition 2002 F.R. Verhage. Speech Signal Representations I. Decomposition of the speech signal (x[n]) as a source (e[n]) passed through a linear time-varying filter (h[n]). Speech Signal Representations I.

491 views • 35 slides

Speech Signal Representations I

Speech Signal Representations I. Seminar Speech Recognition 2002 F.R. Verhage. Speech Signal Representations I. Decomposition of the speech signal (x[n]) as a source (e[n]) passed through a linear time-varying filter (h[n]). Speech Signal Representations I.

381 views • 35 slides

Pitch synchronous windowing is a critical part of many speech processing algorithms

Liner Predictive Pitch Synchronization Voiced speech detection, analysis and synthesis Jim Bryan Florida Institute of Technology ECE5525 Final Project December 7, 2010. Pitch synchronous windowing is a critical part of many speech processing algorithms

453 views • 33 slides

LECTURE 17: DISCRETE FOURIER TRANSFORM

LECTURE 17: DISCRETE FOURIER TRANSFORM. Objectives: Derivation of the DFT Relationship to DTFT DFT of Truncated Signals Time Domain Windowing

257 views • 10 slides

LECTURE 17: DISCRETE FOURIER TRANSFORM

LECTURE 17: DISCRETE FOURIER TRANSFORM. Objectives: Derivation of the DFT Relationship to DTFT DFT of Truncated Signals Time Domain Windowing

185 views • 10 slides

Summary of Widowed Fourier Series Method for Calculating FIR Filter Coefficients

108 views • 10 slides

Lab 9 Improved FIR filter

Lab 9 Improved FIR filter. Using SystemView. Improved FIR filter. Lab objective Use SystemView to simulate/analyze an improved window based filter. This is similar to the filter we analyzed in Lab 8, but is improved by using a Hamming window.

250 views • 6 slides