Description: 盲均衡中的应用，CMA+DDLMS（常数模+判决引导最小均方）算法的Matlab程序，用来处理16-QAM信号。-Application of blind equalization, CMA+ DDLMS (Constant Modulus+ Decision-directed least mean square) algorithm of Matlab procedures used to deal with 16-QAM signal. Platform: |
Size: 2048 |
Author:linning |
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Description: 一种新的基于数据可靠性判决引导的CMA盲均衡算法.pdf-A new decision-directed based on the data reliability of the CMA blind equalization algorithm. Pdf Platform: |
Size: 98304 |
Author:z |
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Description: 采用正交频分复用（OFDM）调制的跳频系统仿真模块，利用Simulink工具箱搭建。可更改跳频跳速,跳频频率数，载波频率，跳频间隔，FFT运算长度,循环前缀位数等相关参数。信道采用瑞利多径衰落信道和高斯信道，相关参数也可更改。希望有一定的参考价值，也希望站长开通我的下载功能，ID：gly201,非常感谢！-A simulation on Hopping Frequency communication system based on the OFDM technique. Platform: |
Size: 14336 |
Author:gly |
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Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at moderate SNR
and is quite robust against possible model mismatch Platform: |
Size: 148480 |
Author:xiaobo |
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Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at Platform: |
Size: 84992 |
Author:xiaobo |
Hits:
Description: Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectrum density, different from conventional approaches
which mostly relay on pilots to provide CPE estimation, we
explore the statistical characteristics of the sufficient statistics
then propose a pilot-aided decision-directed approach according
to maximum-likelihood criterion. Numerical results demonstrate
that the proposed algorithm enjoys 2dB gain at moderate SNR
and is quite robust against possible model mismatch Platform: |
Size: 6144 |
Author:xiaobo |
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Description: The two-step noise reduction (TSNR) technique removes the annoying reverberation effect while maintaining the benefits of the decision-directed approach. However, classic short-time noise reduction techniques, including TSNR, introduce harmonic distortion in the enhanced speech. Platform: |
Size: 3072 |
Author:SimonKap22 |
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Description: duction techniques proposed in the art are expressed as a spectral
gain depending on the a priori SNR. In the well-known decision-
directed approach, the a priori SNR depends on the speech spec-
trum estimation in the previous frame. As a consequence the gain
function matches the previous frame rather than the current one
which degrades the noise reduction performance. We propose a
new method called Two-Step Noise Reduction (TSNR) technique
which solves this problem while maintaining the benefi ts of the
decision-directed approach. This method is analyzed and results
in voice communication and speech recognition context are given.-noise estimate Platform: |
Size: 194560 |
Author:leon |
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Description: Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used. -Script for computing BER with Binary Convolutional Code
and Viterbi decoding.
Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal
Hard decision and soft decison decoding is used.
Platform: |
Size: 6144 |
Author:thefar2012star |
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Description: This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer’s weight vector. A
novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt
the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal
minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this
semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm Platform: |
Size: 185344 |
Author:yh |
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Search - decision directed