CourseOutline11 - 3. Frequency transformations 10.4 III....

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EE538 Digital Signal Processing I Fall 2011 Topic: Lectures 18 A. Basic Sampling Theory and D/A Conversion 1.1-1.4 B. Discrete-Time Linear Systems 2.1-2.3 1. Autocorrelation, Cross-Correlation (VIP) 2.4.1, 2.4.2, 2.5, 2.6 C. Z Transform 3.1-3.5 3.5 D. Discrete-Time Fourier Transform 4.1-4.5 E. Frequency Selective Linear Filtering 5.1-5.4 F. Sampling and Reconstruction 6.1-6.6 G. Multirate DSP *** most emphasis *** 11.2-11.4 1. E±cient Up-sampling/Down-sampling 11.5 2. Multi-Stage Interpolation 11.6 3. Digital Subbanding 11.9 4. Two-Channel Perfect Reconstruction Filter Bank 11.11 I. Apps: CD Players, Radar, Wireless Comm: CDMA, OFDM 11.9 II. Digital Filter Design 6 A. FIR Filters – Equiripple Designs 10.2.4-10.2.6 B. IIR Filters 1. Common analog ²lters 10.3.5 2. Bilinear transformation 10.3.3
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Unformatted text preview: 3. Frequency transformations 10.4 III. Discrete Fourier Transform 6 A. Denition and Properties 7.1-7.4 B. Fast Fourier Transform Algorithms 1. Divide and Conquer Approach 8.1.1, 8.1.2 2. Radix-2 FFT 8.1.3 C. Sectioned Convolution 7.3, 8.2-8.3 IV. Nonparametric methods of power spectrum estimation 3 A. Discrete random processes 12.1-12.2 B. Estimation of autocorrelation sequence 14.1.2 C. Periodogram; Smoothed periodograms 14.2 V. Model-Based Spectrum Estimation 9 A. Autoregressive (AR) Modelling 14.3 B. Forward/Backward Linear Prediction 12.3 C. Levinson-Durbin Algorithm 12.4 D. Minimum Variance Method 14.4 E. Eigenstructure Methods I: MUSIC 14.5.2,14.5.3 F. Eigenstructure Methods II: ESPRIT 14.5.1,14.5.4 G. Applications in Speech Processing, Communications, and Acoustics...
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This note was uploaded on 02/19/2012 for the course ECE 538 taught by Professor Zoltolski during the Fall '08 term at Purdue University-West Lafayette.

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