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VCN_regularity
- 说明，如对听觉神经元间音爆穗间隔（ISI）的刺激之间的重复变异是用来区分标准条件，他们的反应之一。方法使用标准箱及产生的噪声和有偏见的所需数量的估计。此函数计算它到底。 MATLAB的MATLAB的版本7.11（2010b）-Descr iption The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neuron
RLS_MATLAB
- 无线通信信道的自适应均衡算法，RLS算法，有助于消除码间串扰-Wireless communication channel adaptive equalization algorithm, RLS algorithm, help to eliminate ISI
xindaojunheng
- 信道均衡技术（Channel equalization）是指为了提高衰落信道中的通信系统的传输性能而采取的一种抗衰落措施。它主要是为了消除或者是减弱宽带通信时的多径时延带来的码间串扰（ISI）问题。 其机理是对信道或整个传输系统特性进行补偿，针对信道恒参或变参特性，数据速率大小不同，均衡有多种结构方式。大体上分为两大类：线性与非线性均衡。对于带通信道的均衡较为困难，一般都是待接收端解调后在基带进行均衡，因此基带均衡技术有广泛应用。在实际中一般是加入自适应滤波器来实现信道均衡。-Equaliz
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
xindaojunheng
- 信道的频率响应是时变的，设计最佳的固定的解调滤波是不可能的，因此，需要一种能补偿或减少接收信号中ISI的方法，这种ISI补偿方法称为均衡方法。 自适应均衡技术能够用来抵消由于信道带限或时间色散所导致的码间干扰，可以使通信系统更有效地利用信道带宽。 -Channel frequency response is time-varying, the best fixed design demodulation filter is impossible, therefore, need to
BER_BPSK_ISI_ZF
- scr ipt for computing the BER for BPSK modulation in 3 tap ISI channel. Zero Forcing equalization with 3/5/7/9 tap is performed and the BER computed
BER_ISIch_MMSE
- scr ipt for computing the BER for BPSK modulation in 3 tap ISI channel. Minimum Mean Square Error (MMSE) equalization with 7 tap and the BER computed (and is compared with Zero Forcing equalization)
spike-distance-programs
- 对多次重复时间序列(神经生物系统中神经元得放电序列，Spike train）做PSTH,并进行高斯平滑，对时间间隔进行统计分析。-compute gaussian smooth, spike ISI
everything.pdf
- This document (ns Notes and Documentation) provides reference documentation for ns. Although we begin with a simple simulation scr ipt, resources like Marc Greis’s tutorial web pages (originally at his web site, now at http://www.isi. edu/nsnam/n
On-the-Design-of-Linear-Receivers-for-SC-FDE-Sche
- This paper considers the design of linear frequency-domain receivers with oversampling for OQPSK (Offset Quaternary Phase Shift Keying) signals. Based on a receiver structure able to eliminate the residual interference between in-phase (I) an
isi_distribution_fit
- he rational is simply to fit a mathematical model to the ISI distribution that includes a component to model the refractory period. If a neuron is well isolated, it must exhibit some refractory period. If instead, it is multi- unit, then it
ofdm-research-paper
- the paper is relavent to ISI and ICI that occurs in wireless medium
HRISI
- 一个HR模型的ISI分岔matlab程序,效率比较慢，但是效果特别好-one HRmodel ISI bifcation
LMS-algorithm-for-adaptive-equalizer
- 在ISI信道中，用PN码作为训练序列，使用LMS算法的自适应均衡器-ISI channel, PN code as the training sequence, the adaptive equalizer using the LMS algorithm
mse
- 针对数字通信系统中，由于码间串扰(ISI)和信道加性噪声的干扰，导致信号在接收端产生误码，设计了基于LMS算法的自适应均衡器(滤波器)。是一篇标准的毕业论文,有需要的朋友可以拿来做参考-Thesis for digital communications systems, crosstalk due to inter-symbol (ISI) and additive noise channel interference, leading to signals generated in the r
equalizer
- 用Viterbi algorithm筛选经过含白噪声的信息。equalizer为采用Viterbi algorithm，有效减少ISI(码间串扰)，detector为简单的检验器。对比两者的误码率。信息数量为10001bit-using Viterbi algorithm method selecting the data. compared with simple detector. data length are 10001bits. Viterbi algorithm can reduce
scfde_BPSK
- 由于实际信道的频带总是有限的并且偏离理想特 性&故使通过的信号在频域上产生线性失真&在时域上波 形发生时散效应’ 这种效应对数字通信所造成的危害称 之为符号间干扰(ISI)’ 另外&在无线信道中&由于存在多 径传播问题&对数据传输也会产生ISIW1X’ 为有效克服ISI& 目前常用的方法包括:多载波正交频分复用(<YE-M)) 单载波时域均衡和单载波频域均衡(SZ-YED)’-jgb ksld mjdlkf l d lkf dsd lf ldf ldfldkf d
m
- 基于置信传播算法和Viterbi检测的ISI信道估计，比较两种算法的性能-ISI channel is estimated based on the belief propagation algorithm and Viterbi detection, compare the performance of the algorithm
script_ber_bpsk_isi_lms_equalization
- 在符号间干扰情况下，通过自适应均衡消除码间串扰的影响。均衡算法采用LMS，简单的线性横向滤波器-In case of ISI channel,we exploit adaptive equalization with LMS alogithm to defend the influence.
CMMB-channel-estimation
- CMMB信道估计:对时变的具有码间串扰ISI的信道进行信道估计,改善了系统的性能-CMMB Channel Estimation:Improve the performance of the channel estimation with time-varying intersymbol interference ISI channel