Vitesse Semiconductor, Somerset, NJ Ethernet, SONET and wireless base-station systems transfer data across backplanes of up to 1m in length using NRZ signaling at 1.25 to 3.125Gb/s. Attempts to double the capacity of these systems by transmitting 5Gb/s NRZ data over these FR4 backplanes result in a closed eye due to high frequency attenuation of the traces, crosstalk between connector pins and reflections due to vias acting as open-ended stubs, necessitating adaptive equalization at either the TX or the RX. Achieving 5Gb/s operation over existing backplanes using NRZ signaling as opposed to alternate modulation schemes [1] has been analyzed and will soon be standardized by the optical interconnection forum (OIF) [2]. The NRZ backplane transceiver presented here employs TX pre-emphasis and RX high-frequency boost to partially compensate for high-frequency attenuation and a DFE to cancel ISI without amplifying crosstalk.The RX (Fig. 3.1.1) has a linear front end comprising a continuous-time FFE, an amplifier with a 2-stage VGA, and a 3-tap DFE. This is followed by a bang-bang CDR and a 1:16 DEMUX. Sign-sign-LMS algorithms are used for adapting the coefficients of the FFE, DFE, VGA and DC-offset cancellation circuit. Error signals for the LMS algorithm are generated by slicing the equalizer output at the target ±1 levels. These slicers are in addition to the main slicer set at zero level to detect the polarity of the received data. The LMS algorithm runs at 1/16 times the data rate to save power. The transmission characteristics of the backplane change gradually with temperature and therefore, the adaptation algorithms can run slowly.The FFE is realized by summing the outputs of a fixed-gain DC path and a variable-gain AC path, resulting in a continuous-time IIR filter with a single tunable zero that is adapted to control the amount of high-frequency boost. A continuous-time IIR structure is chosen over the conventional FIR structure to save power and chip area. The first stage of the AC path is a differential pair degenerated by an RC network ( Fig. 3.1.2). Its response is optimized to match the high-frequency roll-off of a backplane trace. The variable coefficient is realized using cross-coupled differential pairs with variable tail currents. The FFE provides a boost of up to 10dB at half the NRZ data rate.The 2-stage VGA following the FFE has variable gain range of 14dB. The variable gain is realized using a cross-coupled differential pair with variable currents (Fig. 3.1.2) in parallel with a differential pair with a fixed tail current. The VGA output is fed to a buffer followed by a pre-amp and a chain of flip-flops. The decision values from the slicers are fed back as differential currents to the buffer output through weighted differential pairs to implement the DFE. A differential DC is also injected into the buffer output for offset cancellation. To detect the error of the equalized signal from the ideal ±1 values, the output of the buffer is fed to 2 comparators whose slicing levels are offset from zero.Th...

In this paper we investigate the UEP property of turboThe application of turbo codes (TC) for multi-level priority transmission of image signals over an AWGN channel is presented. The unequal error protection property of the turbo codes is introduced and matched to the unequal error protection requirement for the transmission of coded image signals. Compared to simply distributing the source bits across the TC block bit positions,-the proposed method yields superior performance.codes by transmitting coded image signals over a turbocoded channel using computer simulation. Our simulation results indicate that, by taking advantage of the UEP property, a significant improvement in the quality of the transmitted image can be achieved.The paper is organized as follows. Section 2 presents the turbo-coded channel and the communications model used fro investigate the unequal error protection property of the turbo codes. Section 3 explains the image compression method 1.

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The sections in this article are Hadamard Transforms The Modified Hadamard‐Structured DCT (MHDCT) Applications of Hadamard Matrices Acknowledgments

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