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In [6], VLSI implementation of a complexity reduced K-best detector for MIMO and 16-QAM is presented for WiMAX/WiFi.
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This paper describes the hardware implementation of a high complexity algorithm to estimate the optical flow from image sequences in real time.
The study case of the implementation of a reduced complexity algorithm for timing synchronization in the W-CDMA system was considered.
In this paper, the VLSI implementation of a fixed complexity near-MAP MIMO detector ASIC is presented for multistandard wireless terminals.
In this article, we propose an implementation of a low complexity coding scheme that is suitable for broadcast channels, known as raptor codes which has been adopted in the 3GPP MBMS and the DVB-H standards [11, 16].
In "Complexity-Aware Quantization and Lightweight VLSI Implementation of FIR Filters", a complexity-aware quantization framework for FIR filters is presented.
Then the implementation of a low-complexity A2LVQ is presented.
In [9] and [10], the implementation of a low-complexity turbo-equalizer has been presented targeting a 16-b fixed-point DSP device with two's-complement arithmetic.
However this ability to represent the inherent variations of a pattern comes at a price; a naive implementation of a GP has a complexity of O(n3), where n is the number of training sample points.
A näive implementation of FCM has a complexity of O ( N C 2 ) per iteration, which is quadratic in the number of clusters.
Moreover, a simplified version of the algorithm, named compact indirect variable structure model reference adaptive control (CIVS-MRAC), provides not only an easy design procedure, but also a computational implementation of low complexity, thus motivating its application in industrial environments.
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