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Cooperativdetectionalgorithm
- 。当各感知用户采用软判决方法,对于2 个感知用户合作和3个感知用户合作的情况,可对最优联合检测算法性能有015dB改善。-. When the user uses soft decision method of perception, perceptual user cooperation for 2 and 3 sensing user cooperation, the joint detection algorithm can best improve the performance o
SC_FDE_system_frequency-domain-equalization-algori
- 。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡(MMSE-DFE)和基于LMS准则的自适应均衡算法, MATLAB仿真表明,由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数,其性能略优于最小 均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and
BICM-IDTurbo
- 基于硬判决的BICM-ID的Turbo均衡及其改进-Hard decision based on the BICM-ID in Turbo equalization and improvement
all
- 完成了数字接收机的整个流程仿真,从调制,解调,下变频,抽样判决,鉴频的整个模块-To complete the entire process of digital receiver simulation, from the modulation, demodulation, downconversion, sample sentences, frequency of the module
Untitled2
- 用感知准则函数的方法求解以下数据的判决面,学习率为 ,画出每次迭代法向量的变化轨迹,并画出最终的判决曲线。 -The Perceptron criterion function method for solving the decision following data side, learning rate, draw vector for each iteration the trajectory, and draw the curve of the final decision.
yima
- 硬判决和和积译码的性能相差不大,而最大似然译码的性能较好。因为最大似然译码的方法是找出所有发送码字中可能性最大的发送码字作为译码估值,是一种通过经验与归纳,由接收值推测发送码字的方法。-Hard decisions and the performance of the sum-product decoding little difference, the maximum likelihood decoding performance is better. Because the maximum
PSK
- PSK信号载波相位符号定时联合估计,载波环采用判决反馈环,去除噪声平方损耗,定时模块采用早迟原理, 里边有详细的注释,希望对大家有用。点击即可运行。-PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle
pjmk
- 对水下控制模块经fft变换后进行判决,已通过测试,很有用的模块-Control module of the underwater after the decision by the fft transform, has been tested, very useful modules
qpsk_0421_4.mdl
- 转载leiqui的内容,QPSK仿真内容,附件模型是根据书上的原理图进行组织,每一模块都呈现。例如I/Q分路,调制,解调,判决等。 -Reproduced leiqui content, QPSK simulation content, attachment model is based on the book is organized on the diagram, each module are presented. Such as I/Q splitter, modulation, dem
IS95_forward_code
- 本程序针对高通公司开发的IS-95通信系统,是一个相对完整的IS-95前向信道的仿真源程序,包括Viterbi编码,数据调制,基于RAKE接收机的解调,实现软判决输入的Viterbi译码等模块,并包括有误码率的计算和性能仿真显示。 -The procedure developed for Qualcomm IS-95 communication system, is a relatively complete IS-95 forward channel simulation source c
IP103_Threshold
- 在DSP上是实现了灰度图象自动阀值分割,根据灰度图象的象索点灰度,邻域均值二维直方图的分布特点,给出了一个新的分割阀值判决函数。-Is realized in DSP automatic threshold gray level image segmentation, according to gray image as the gray cable, neighborhood average distribution of two-dimensional histogram, gives a
uart
- vhdl编写,完成了uart的接口设计,包括信号检测,判决等-vhdl prepared to complete the uart interface design, including signal detection, decision, etc.
DFEBasedOnMCMA
- 一种用于判决反馈均衡器的方法和装置,其中使用一校正项来补偿限制器误差,从而避免了误差传播。选择均衡器的滤波器系数以便使均衡器的代价函数最小-One for decision feedback equalizer method and device, which uses an error correction terms to compensate for the limiter, thus avoiding error propagation. Select equalizer equaliz
truncdecode
- 程序是卷积码的截尾译码,软判决译码,AWGN信道,bpsk调制,-Program is truncated convolution code decoding, soft decision decoding, AWGN channel, bpsk modulation
RFIDreceiver
- 对RFID读写器接收模块的解调以及FM0解码进行了MATLAB仿真。首先我们对读写器接收到的信号进行仿真,里面附带着标签信息;其次对接收到的ASK信号进行相干解调;接着解调后的信号经过抽样判决,进行FM0解码。仿真结果可表明接收到的信号与发射的信号一致。-On the RFID reader receiver module FM0 decoding and demodulation and a MATLAB simulation. First of all we readers received
SimulationofBearings-onlyPassiveTarget
- 研究了存在系统误差时单站纯方位角无源定位系统的定位问题,分别在系统误差为常值和时变值时研 究了TLS-KF算法的性能,并通过估计系统误差是否存在,给出了一种选择最优定位算法的判决方法。该问题的 研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能,具有一定的理论意义和实际意义。 -The single station bearing-only passive target localization was studied when system bias was exi
VCP_3GPP_Hard_Decision
- 6416 vcp解码ti例程 基于硬判决的例程-6416 vcp hard design
juanjima
- 《通信原理》中卷积码硬判决译码的软件实现,输入卷积码(213卷积码),可译出原码。-" Communication Theory" hard decision decoding convolutional codes in the software, enter the convolutional code can be translated the original code.
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状,概括了负荷预测的特点及其影响因素,归纳了短期负荷预测的常用方法,并分析了各种方法的优劣;接着介绍了作为支持向量机(SVM)理论基础的统计学习理论和SVM的原理,推导了SVM回归模型;本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,
Hviterbi
- viterbi硬判决代码,用于卷积码译码-hard decision viterbi code for decoding convolutional codes