搜索资源列表
mmse-osic
- 这个程序时用来描述最小均方误差-排序串行干扰消除检测算法-this program is used for design mmse-osic detetion algorithm
mmse
- 基于mmse的多用户mimo系统检测算法，空分复用多用户多输入多输出(MIMO)系统具有很高的频谱利用率，由于其系统结构和所处的信道环境的复杂-The spatial division multiplexing multi-user multiple-input multiple-output(MIMO)system has very high spectrum efficiency．However，its system structure and complexity of the cha
MMSE
- 最小均方误差自适应格型块处理迭代算法 预测AR模型系数-Minimum mean square error iterative adaptive lattice block processing algorithm Predict the AR model coefficients
SER_compare
- 对信道估计LS算法和MMSE算法的误码率比较-comparison of LS and MMSE
Ols__mmse_lmmF
- ofdm信道估计仿真（ls算法，mmse算法，还有一种改进的的mmse算法lmmse，能直接在马特拉并上运行） -The ofdm Channel Estimation Simulation (ls algorithm, the MMSE algorithm, there is a improved mmse algorithm lmmse directly in Matera and on the run)
V-Blast-ZF-and-MMSE--algorithm--
- V-Blast的ZF和MMSE检测算法仿真代码-V-Blast ZF and MMSE detection algorithm simulation code
mmse-improve
- 语音处理MMSE改进算法，方法有效可以直接使用，性能改进明显-MMSE improved voice processing algorithm, the method is effective can be used directly, the performance improvement is obvious
lmmse_estimation
- LMMSE估计就是MMSE算法的特例，通过求得一个合适的信道冲击响应（CIR），使得通过CIR计算出的接收数据与实际数据的误差的均方和最小。-LMMSE estimate is a special case of the MMSE algorithm, to obtain a suitable channel impulse response (CIR), so that the received data and the error of the actual data calculated
MMSE-equalization
- MATLAB仿真最小均方差（MMSE）均衡算法 消除多径引起的ISI-MMSE_EQUALIZATION with matlab
ZF-MMSE
- ZF-MMSE检测算法的比较。观察其算法复杂度。-ZF-MMSE detecting
LS-versus-MMSE
- 这是基于MIMO-OFDM的同步算法研究的源程序。本程序采用的极大似然估计的方法。-This is based on MIMO-OFDM synchronization algorithm source code. The program uses the method of maximum likelihood estimates.
Boll
- 改进boll谱减法，语音增强效果有提高。与MMSE算法不相上下-Improved the boll spectral subtraction speech enhancement effect has been improved. Comparable with the MMSE algorithm
Q2
- Q2是检测16—QAM信号，QPSK是输入为QPSK的MIMO系统的最大似然检测，ZF和MMSE算法-Q2 is detected the signal of the 16-QAM, QPSK maximum likelihood detector is input to QPSK MIMO system, ZF and MMSE algorithm
ls-lmmse
- 本文介绍的是LS算法和MMSE算法以及LMMSE算法三种算法的性能比较。-This article describes the performance comparison of the LS algorithm and MMSE algorithm and LMMSE algorithm three algorithms.
matlab
- 基于RLS的RLS、SMI、SINR、LMS、MMSE算法的matlab环境下的自适应波束成型-Adaptive beamforming based RLS RLS, SMI, SINR, LMS, MMSE algorithm matlab environment
MMSE_matlab
- 基于MMSE的自适应波束成形,本程序给出了基于MMSE算法的自适应波束成形-Based the MMSE adaptive beam forming, the program gives the MMSE algorithm-based adaptive beamforming
SC_FDE
- 单载波频域均衡，迫零算法以及MMSE算法的比较-Single-carrier frequency domain equalizatio，compare zeros and MMSE
two_way_relay
- two-way-relay场景下，中继处理矩阵的设计，仿真分析了DPC-ZF及DPC-MMSE算法的性能要由于AF与ZF算法性能。-In the two-way-relay scenario,simulation show that both DPC-ZF and DPC-MMSE have a higher throughput and lower BER performance compared with the traditional AF algorithm and ZF algorit
ofdm
- OFDM系统的信道估计技术，包括信道仿真以及LS算法和MMSE算法的优劣比较-OFDM system channel estimation techniques, including the LS channel simulation algorithm and compare the pros and cons MMSE algorithm
MMSE
- 基于MMSE的多用户联合检测算法研究（幻灯片）-MMSE based multiuser joint detection algorithm (slides)