搜索资源列表
JDCHE_and_JDPP_for_TD_SCDMA
- TD-SCDMA系统联合检测中的信道估计、信道估计后处理、信道估计串行干扰消除后处理算法的源代码。其中，信道估计采用频域快速FFT法以减少运算量；后处理采用激活窗检测法，只保留激活用户的多径信息，其余置0，以达到降低干扰及噪声的目的；串行干扰消除可以消除多小区信道估计的干扰，以得到本小区的纯净信道估计结果。-TD-SCDMA system, joint detection of channel estimation, channel estimation and post-processing,
OFDM2
- 1. 该程序进行了简单的LMS信道估计，没有加入与MMSE等其他信道估计算法的比较； 2. 程序中循环前缀的设置，作者称是25％的CP，但是从矩阵的构造并不能看出这一点 并且CP为Zero-CP，需要加入与真正复制了数据样值的循环CP系统进行性能对比 3. 仿真条件为系统处于理想同步情况下。 -1. The program had a simple LMS channel estimation, not joined with the MMSE channel estim
lee_vad
- 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
SNR_and_MSE
- 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
V-BLAST2
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-This procedure is the V-BLAST system and its detection algorithm simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, MMSE,
OFDM
- ofdm系统的信道估计，有LS、MMSE、LMSE三种算法的比较-ofdm systems, channel estimation, a LS, MMSE, LMSE Comparison of three algorithms
vblast4
- V-BLAST在平坦衰落信道中的分层检测，所采用的是MMSE算法，对BER进行仿真。-V-BLAST in flat fading channel layer test, the MMSE algorithm is used, the BER simulation.
V-BLAST
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-V-blast ml mmse zf
AB
- 基于MMSE准则LS /涡轮译码算法和平衡MIMO迭代算法的性能比较-Based on MMSE criterion LS/Turbo decoding algorithm and balanced MIMO iterative algorithm performance comparison
KalmanFilterCarithmetic
- 卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法-Kalman filter is based on MMSE criterion to estimate the best, to seek a recursive estimation algorithm
speech_enhancement_simulations
- 几种增强算法的总结，MATLAB代码，算法包括有：谱减法，MMSE-LOGSTSA ,MMSE-ST-DFT ,decision-Directed method,multi-band 谱减法等-A summary of several enhancement algorithm, MATLAB code, the algorithm include: spectral subtraction, MMSE-LOGSTSA, MMSE-ST-DFT, decision-Directed method
Joint_Detection1
- TD-SCDMA中联合检测技术中的Matlab仿真算法，包括DMF算法，ZF-BLE算法，MMSE算法等-Joint detection in TD-SCDMA technology in the Matlab simulation algorithms, including DMF algorithm, ZF-BLE algorithm, MMSE algorithm
FDEfrequencyequalizer
- 根据LTE上行SIMO接收机特点，对MMSERISIC均衡器进行简化修改，得到MMSEFDE均衡器,该均衡器所有步骤全在频域进行，大大降低了均衡算法的复杂度。-LTE uplink SIMO receiver according to the characteristics of the MMSE-RISIC equalizer to simplify modification, by MMSE-FDE equalizer, the equalizer all the steps in full
MSE_compare
- 基于LS和MMSE算法实现信道估计，采用块序列-Based on LS and MMSE algorithm, realized channel estimation
CDMA_lingjunyue_standard
- cdma系统中6阵元天线的LMS,RLS,以及MMSE算法仿真-cdma system 6 element antenna array LMS, RLS, and the MMSE algorithm simulation
OFDMoncha
- OFDM系统中信道估计的ls,mmse算法性能比较程序-OFDM system channel estimation of the ls, mmse algorithm performance comparison procedures
vblast
- 程序仿真了两种（ZF,MMSE）Vblast接收机的检测性能，绘制误比特率～信噪比曲线。-ZF,MMSE,两种检测算法的性能blast testing program, the price ZF, MMSE detection algorithm in the performance of four
SM_MMSE_ZF
- 空间复用中ZF/MMSE-SIC检测算法-MMSE-SIC ZF-SIC Spatial Multiplexing schemes
vblast
- 对VBLAST的几种常见的算法（zf,mmse,sic,zf/mmse_sic,osic,sqrd）分别进行了编程仿真-On several common algorithms VBLAST (zf, mmse, sic, zf/mmse_sic, osic, sqrd) simulation program were carried out
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order