F • Aliasing Distortion • Quantization Noise • Bandwidth Limitations • Cost of A/D & D/A Conversion

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F • Aliasing Distortion • Quantization Noise • Bandwidth Limitations • Cost of A/D & D/A Conversion

Aliasing • Aliasing distortion • Quantization noise • A 1 Hz Sine wave sampled at 1.8 Hz • Bandwidth limitations • A 0.8 Hz sine wave sampled at 1.8 Hz • Cost of A/D & D/A conversion -fs fs THE UNIVERSITY OF TEXAS AT AUSTIN Advantages of Digital Systems Perfect reconstruction of a Better trade-off between signal is possible even after bandwidth and noise severe distortion immunity performance digital analog bandwidth Increase signal-to-noise ratio simply by adding more bits SNR = -7.2 + 6 dB/bit THE UNIVERSITY OF TEXAS AT AUSTIN Advantages of Digital Systems Programmability • Modifiable in the field • Implement multiple standards • Better user interfaces • Tolerance for changes in specifications • Get better use of hardware for low-speed operations • Debugging • User programmability THE UNIVERSITY OF TEXAS AT AUSTIN Disadvantages of Digital Systems Programmability • Speed is too slow for some applications • High average power and peak power consumption RISC (2 Watts) vs. DSP (50 mW) DATA PROG MEMORY MEMORY HARVARD ARCHITECTURE • Aliasing from undersampling • Clipping from quantization Q[v] v v THE UNIVERSITY OF TEXAS AT AUSTIN Analog-to-Digital Conversion 1 --- T h(t) Q[.] xt() yt() ynT() yˆ()nT Anti-Aliasing Sampler Quantizer Filter xt() y(nT) t n y(t) ^y(nT) t n THE UNIVERSITY OF TEXAS AT AUSTIN Resampling Changing the Sampling Rate • Conversion between audio formats Compact 48.0 Digital Disc ---------- Audio Tape 44.1 KHz44.1 48 KHz • Speech compression Speech 1 Speech for on DAT --- Telephone 48 KHz 6 8 KHz • Video format conversion Film Television 30 ------ 24 frames/sec24 30 frames/sec THE UNIVERSITY OF TEXAS AT AUSTIN Downsampling Downsampling by M • Takes in M samples and outputs the first sample continuous time • Reduces sampling rate by M • Time domain yn[]=xMn[] discrete time • Frequency domain M–1 ω–2πk Y()ω=∑X------------------- M k=0 • Frequency axis compressed by a factor of M downsampling by 3 written as 3 or 3:1 • M-1 aliasing vectors THE UNIVERSITY OF TEXAS AT AUSTIN Upsampling Upsampling by L • Takes one sample and inserts L-1 zeroes after it continuous time • Increase sampling rate by L • Time domain n n x--- if --- ∈ I yn[]= L L discrete time 0otherwise • Frequency domain Y()ω =XL()ω • Frequency axis expanded by a factor of L upsampling by 3 written as 3 or 1:3 THE UNIVERSITY OF TEXAS AT AUSTIN Rational Rate Changers Change the Sampling Rate by a Factor of L/M • Rational decimation system • General structure L f[n] M Sampling Rate fs L fs L fs L fs / M π π • f[n] is a lowpass filter with cutoff frequency min --- , ----- L M • Film to NTSC format requires a 30/24 = 5/4 rate change • Speech compression from 48 KHz to 8 KHz requires a rate change of 1/6, so there is no upsampler • What about CD to DAT conversion? 480/441? THE UNIVERSITY OF TEXAS AT AUSTIN Decimation and Interpolation Decimation • Anti-aliasing (decimation) filtering before downsampling h[n] M • Filter has cutoff frequency of π/M Interpolation • Anti-imaging (interpolation) filtering after upsampling L g[n] • Filter has cutoff frequency of π/L THE UNIVERSITY OF TEXAS AT AUSTIN.

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