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The LASIP routines for Color Filter Array Interpolation based on LPA-ICI:
- CFAI for noiseless data
- adaptation for noisy data
- CFAI for noisy data based on directional cross-color filters.-
The LASIP routines for Color Filter Array Interpolation based on LPA-ICI:
- CFAI for noiseless data
- adaptation for noisy data
- CFAI for noisy data based on directional cross-color filters.
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Size: 122880 |
Author: mythu |
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Description: 6. 在三条径的瑞利信道中，对于OFDM：
(1) 请设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线。
-6. In the three path Rayleigh channel, for OFDM: (1) Please design a specific guide-assisted channel estimation method, the Simulink simulation, BPSK modulation measuring the bit error rate performance. Draw-bit signal to noise ratio and channel estimation mean square error of the curve, draw-bit signal to noise ratio and bit error rate curve.
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Size: 31744 |
Author: 曾茉 |
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Description: ICI reduction可能程序有些复杂，见谅，望大家多多指正-ICI reduction可能程序有些复杂，见谅
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Size: 11264 |
Author: JJJ |
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Description: Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model. Our proposed scheme is effective in estimating and compensating for frequency-independent and frequency dependent transmit and receive ICI in the presence of a carrier frequency offset.-Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model. Our proposed scheme is effective in estimating and compensating for frequency-independent and frequency dependent transmit and receive ICI in the presence of a carrier frequency offset.
Platform: |
Size: 1942528 |
Author: sivadeep |
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Description: Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.-Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.
Platform: |
Size: 1024 |
Author: sivadeep |
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