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接收机的MATLAB仿真程序
- Title: MMSE Receiver for DS-SS in AWGN Channel Author: Panson Tantikovit Summary: An adaptive receiver for DS-SS systems MATLAB Release: R12.1 Required Products: Communications Toolbox,Signal Processing Blockset Descr iption: This
blms
- 关于块LMS算法的程序,适用于研究自适应滤波器-block LMS algorithm on the procedures applicable to adaptive filter
LMS-auto-adapter-fiter
- 考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal process
RLS-auto-adapter-fiter
- 考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal process
fblms
- This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document
mmse_mpsk
- This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to
FFTlms
- 频域块LMS算法的MATLAB实现 M表示抽头个数 结果正确 可以直接使用-Frequency domain block LMS algorithm for MATLAB to achieve the correct result M said that the number of taps can be used directly
newblms
- 分块BLMS 算法,首先将信号分成若干小快，然后进行LMS计算，解决了计算工程量大的问题-Block BLMS algorithm, first of all, the signal is divided into several small fast, and then proceed to LMS, the solution to calculate the engineering problem of a large quantity of
ly3
- 实现了DSP2407芯片的A/D-D/A转换，can模块的使用，FFT以及LMS算法-DSP2407 chip achieved A/DD/A conversion, can block the use of, FFT and LMS algorithm
BLMS
- 自适应滤波的块型最小均方差算法（B-LMS）,能够快速跟踪过程的变化-Block adaptive filtering algorithm based on LMS (B-LMS), to fast track the process of change
leastsquare
- Inter-symbol interference if not taken care off may cause severe error at the receiver and the detection of signal becomes difficult. An adaptive equalizer employing Recursive Least Squares algorithm can be a good compensation for the ISI probl
11123_2
- 比较NLMS、基于分块的LMS和基于符号的LMS三种算法，并且实现信道均衡-More NLMS, based on the LMS and block LMS three algorithms based on symbols, and to achieve channel equalization
reduce_ISI(NLMS_BLMS)
- 如何减少ISI？分别用NLMS,BLMS，基于符号的LMS算法完成仿真，并比较结果，包括不同信道参数w，不同数据块长度L对其的影响。-How to reduce the ISI? Respectively NLMS, BLMS, symbol-based LMS algorithm to complete the simulation, and compare the results, including different channel parameters w, different dat
nlms
- 用NLMS基于符号的LMS算法完成仿真，并比较结果，包括不同信道参数w，不同数据块长度L对其的影响。-With NLMS symbol-based LMS algorithm to complete the simulation, and compare the results, including different channel parameters w, different data block length L of its impact.
adaptivedigitalfilters
- lms adaptive filter的块实现-block implementation of lms adaptive filter
An-Adaptive-Block-Based-Eigenvector-Equalization.
- An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels.In this paper we present an adaptive Block- Based EigenVector Algorithm (BBEVA) for blind equalization of time-varying multipath fading channels. In addit
nlms-lms-lms
- 对于块LMS，lms及lms分别仿真分析，实测能用-For block LMS, lms lms were simulation and analysis, can be measured
blocklms
- 块LMS算法 相对于逐点计算的LMS算法，块LMS算法具有相对较高的计算效率，同时在一定程度上提高了算法的收敛稳定性-LMS algorithm block-by-point LMS algorithm for computing the block LMS algorithm has a relatively high computational efficiency, while a certain extent, to improve the stability of the algori
A-Variable-Data-Block-Length-LMS-Algorithm-for-Se
- A Variable Data Block Length LMS Algorithm for Second-Order Volterra Filter
-pinyu-LMS
- 此代码对频域块LMS算法进行了开发，并把它应用于DSSS扩频通信中，加入了窄带干扰，用此算法进行干扰滤除-This code has been developed in the frequency domain block LMS algorithm and applied to DSSS spread spectrum communication, adding the narrowband interference, using this algorithm for interference