搜索资源列表
mmse-and-amp-no-quantizer
- 大规模中zf，mmse，appro-mmse接收算法-the multiuser detection algorithm of zf ,mmse and appro-mmse in the massive MIMO system
MMSE
- MMSE信道检测的代码，为了区分辨别和其他信道检测的传输特性差异。-MMSE channel detection code, in order to identify and distinguish the difference between the transmission characteristics of the other channel detection.
mmse
- mmse演算法錯誤率比較，輸入DATA為QPSK，以此經過MMSE在做錯誤率的校正-mmse algorithm error rate between the input DATA is QPSK, thus making correction after MMSE error rate
MMSE
- 基于MMSE准则的预编码仿真性能，分析了预编码的误码率取消走势-Precoding performance simulation based on MMSE criterion
MMSE
- 仿真V-BALST结构MMSE检测算法性能，调制方式为QPSK-Simulation V-BALST structure MMSE detection algorithm performance, the modulation scheme is QPSK
MMSE
- 自适应阵列信号处理MMSE准则下的方向图 DOA波达方向估计-Pattern DOA DOA MMSE criterion adaptive array signal processing Estimation
mmse
- OFDM信道估计中LS和MMSE估计算法的matlab源程序-Channel estimation source code
LS-MMSE-DFT-Program
- 基于导频的信道估计，MMSE,LS,DFT算法-channel estimation,MMSE,LS,DFT
mmse
- mmse detector simulation for single user mimo system
ITPP-MMSE-4_4-4QAM
- 基于IT++的MIMO下行链路线性最小均方误差（MMSE）均衡检测算法采用4QAM调制-MIMO linear minimum mean square error (MMSE) equalization detection algorithm based IT++ using 4QAM modulation
IMC-PID-MMSE
- 有较好的参考价值，IMC-PID是利用内模控制原理来对PID参数进行计算，最小均方误差（MMSE）的算法。-There are good reference value, IMC-PID control principle is to use the internal model to calculate the PID parameters, minimum mean square error (MMSE) algorithm.
Hybrid-MMSE-DFE
- this code is for the equalizer used in the communication this is an hybrid system of MMSE and DFE equalizer
VBALST-Structure-MMSE-Detection-
- V-BALST结构MMSE检测算法性能 V-BALST结构MMSE检测算法性能-V- BALST Structure MMSE Detection Algorithm PerformanceV- BALST Structure MMSE Detection Algorithm PerformanceV- BALST Structure MMSE Detection Algorithm Performance
MIMO检测
- MIMO中的ZF检测，MMSE检测，和QR分解，LTL分解，克罗克分解，及两种检测算法的误码率分析
MIMO_QAM_MATLAB
- 2x2，4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM和16QAM下的性能曲线(The BER performance of 2x2 and 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM and 16QAM are compared)
thesis_1
- ZERO forcing and MMSE equalizer
OMLSA
- 这是目前传统单通道语音增强中效果最好的算法，作者Iseal Cohen大神,采用基于最小均方误差MMSE准则，代码里，噪声估计由最初的MCRA更新为效果更好的IMCRA。(This is the most effective algorithm for traditional single channel speech enhancement. The author, Iseal Cohen great God, uses the minimum mean square error MMSE c
MIMO和Massive MIMO信号检测算法仿真程序
- 本资源中包含了三种线性信号检测算法MRC,ZF,MMSE和非线性信号检测算法ZF-SIC,MMSE-SIC。分别在传统mimo和Massive MIMO系统中进行仿真，分别给出了信噪比-误码率曲线和误码率-接收天线数曲线(MIMO signal detection algorithm)
OFDM信道估计和均衡的仿真程序，包括MMSE、LS、ZF
- 信道估计仿真代码，包括LS、MMSE、ZF等(Channel estimation simulation code, including LS, MMSE, ZF and so on)
DBF
- MATLAB采用LMS,MMSE,RLS,SINR,SMI算法实现波束形成(MATLAB uses LMS, MMSE, RLS, SINR and SMI algorithm to realize beamforming.)