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Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
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Size: 147456 |
Author: prasad |
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Description: channel estimation using Ls and MMSE algorithms also calculates the Mean square error and SER-channel estimation using Ls and MMSE algorithms also calculates the Mean square error and SER
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Size: 18432 |
Author: yasser |
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Description: 一个基于MMSE噪声后验概率估计的话音激活检测算法.-A voice activity detector with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
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Size: 2048 |
Author: zwlin |
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Description: mmse与snr的算法仿真，最小均方误差和最大信噪比，获得自适应算法的最优权，实现抗干扰-mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming
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Size: 1024 |
Author: 张萌 |
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Description: pe to snr for equalizer zfl and mmse for channel [1 .55]/norm([1 .55]) and tap=5
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Size: 1024 |
Author: ss |
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Description: pe to snr for equalize zfl and mmse for channel [1/√2 1/√2] with tap 5
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Size: 3072 |
Author: ss |
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Description: detect voice from signal of speach Voice Activity Detector (VAD)
with MMSE a posteriori noise estimation and Decision-Directed SNR estimation-detect voice from signal of speach Voice Activity Detector (VAD)
with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
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Size: 2048 |
Author: blackgk |
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Description: Six equalizers for V-BLAST- the program I am using is an OSIC detector function that implements VBLAST algorithm using MMSE (SINR based ordering), ZF (SNR based ordering) and column-norm based ordering.
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Size: 2048 |
Author: 曹金鑫 |
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Description: 本程序主要仿真MIMO系统的ZF以及MMSE算法，在不同信噪比下的误码率。-This program mainly ZF and MMSE algorithm of multi-input multi-output (MIMO) system simulation, under different SNR ber.
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Size: 1024 |
Author: |
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Description: music高阶谱分析算法，随机调制信号下的模拟ppm，主同步信号PSS在时域上的相关仿真，最大似然（ML）准则和最大后验概率（MAP）准则，最大信噪比的独立分量分析算法，是小学期课程设计的题目，最小均方误差（MMSE）的算法，单径或多径瑞利衰落信道仿真。- music higher order spectral analysis algorithm, Random ppm modulated analog signal under PSS primary synchronization signal in the time domain simulation related, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, SNR largest independent component analysis algorithm, Is the topic of the elementary school stage curriculum design, Minimum mean square error (MMSE) algorithm, Single path or multipath Rayleigh fading channel simulation.
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Size: 11264 |
Author: bfdgnaysk |
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Description: maximum a posterior estimator of magnitude squared speech and also using mmse of SNR uncertainity and many other.
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Size: 45056 |
Author: nidhusha |
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Description: mimo无线通信Alamouti方案，重复码编码方案，迫零接收及匹配接收方案实现的matlab源程序
-Implement a complete MIMO system with different combinations of the following components:
(a) Alamouti, repetition code, and V-BLAST (at the transmitter)
(b) zero-forcing and MMSE (at the receiver)
(c) nr 1 and nr 2
and simulate the symbol error probability as a function of the channel SNR P .
The symbol error probability versus SNR plots should be made such that symbol error probability reaches 10 3.
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Size: 10240 |
Author: wanerying |
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Description: this code matlab calculte the BER vs SNR of multi user CDMA system using different detectors sush as MMSE and ZF in rayleigh channel model
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Size: 26624 |
Author: widad |
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Description: Minimum mean square error (MMSE) algorithm, You can achieve data classification and regression pattern recognition, SNR largest independent component analysis algorithm.
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Size: 4096 |
Author: hengkengpaisao
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