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Description: 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
Description: This is 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 have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-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 Description: This is 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 have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
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Size: 20127 |
Author: zzp |
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Description: 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
Platform: |
Size: 1659 |
Author: zj |
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Description: 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 processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.
Platform: |
Size: 4320 |
Author: lidong |
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Description: 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 have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
Platform: |
Size: 8192 |
Author: 张非 |
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Description: 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
Description: This is 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 have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-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 Description: This is 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 have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
Platform: |
Size: 19456 |
Author: zzp |
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Description: 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
Platform: |
Size: 1024 |
Author: zj |
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Description: 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 processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.
Platform: |
Size: 4096 |
Author: lidong |
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Description: 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 processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.
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Size: 4096 |
Author: lidong |
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Description: 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-This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document
Platform: |
Size: 2048 |
Author: huangsir |
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Description: 这个自己下的一个块LMS的MATLAB程序,因为网站上的原来的一个根本就不是的，我就贴一个了
-This own a block LMS under the MATLAB program, because the original site is not a fundamental, and I posted one on the
Platform: |
Size: 1024 |
Author: 蒋阳波 |
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Description: 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
Platform: |
Size: 1024 |
Author: keshijie |
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Description: 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
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Size: 1024 |
Author: xufei |
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Description: 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
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Size: 1024 |
Author: lurui |
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Description: 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 problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel.
Platform: |
Size: 400384 |
Author: pravin jadhav |
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Description: 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
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Size: 1024 |
Author: hanxiang |
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Description: 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 addition
we assess the performance of the new algorithm for different
configurations and compare the results with the
least mean squares (LMS) algorithm. The new algorithm is
evaluated in terms of intersymbol interference (ISI) suppression,
mean squared error (MSE) and by examining the
signal constellation at the output of the equalizer.
Platform: |
Size: 261120 |
Author: abd091 |
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Description: 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
Platform: |
Size: 13312 |
Author: shao |
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Description: 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 algorithm convergence
Platform: |
Size: 1024 |
Author: wangnan |
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Description: A Variable Data Block Length LMS Algorithm for Second-Order Volterra Filter
Platform: |
Size: 530432 |
Author: Raton |
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Description: 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 filtering
Platform: |
Size: 65536 |
Author: 陈彦冠 |
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