Search - equalizer using matlab

Search - equalizer using matlab - List

[Communication] syhxjh DL : 0: 使用MATLAB编写的时域横向均衡器的设计。有兴趣的同学可以来看看。-using MATLAB prepared by the time domain equalizer horizontal design. Interested students can come to see.
Update : 2008-10-13 Size : 1.35kb Publisher : 姜正茂
[Communication] syhxjh DL : 0: 使用MATLAB编写的时域横向均衡器的设计。有兴趣的同学可以来看看。-using MATLAB prepared by the time domain equalizer horizontal design. Interested students can come to see.
Update : 2025-02-19 Size : 1kb Publisher : 姜正茂
[matlab] implementofLMS_Equalizer DL : 0: 采用LMS算法的盲均衡仿真程序，挺简单的，大家可作为参考-using LMS blind equalization algorithm for the simulation program, quite simply, we can reference
Update : 2025-02-19 Size : 1kb Publisher : 袁
[matlab] LMSEQUAL DL : 0: 用LMS算法实现自适应均衡器的MATLAB程序-LMS algorithm using adaptive equalizer in the MATLAB program
Update : 2025-02-19 Size : 1kb Publisher : kangkang
[Modem program] DFE_4QAM DL : 1: 在无线通信中，存在着严重的多径现象，能够引起严重的ISI。判决反馈均衡器（DFE）是目前最常用的一种消除ISI的均衡器。本程序使用Matlab实现的QPSK下的DFE。-In wireless communication, there is a serious multi-path phenomenon, can cause severe ISI. Decision feedback equalizer (DFE) is the most commonly used in an equalizer to eliminate the ISI. This procedure using Matlab under QPSK realize the DFE.
Update : 2025-02-19 Size : 8kb Publisher : 张祥
[Other] Equalizerdesigns DL : 0: 采用MMSE准则设计最佳均衡器的源程序，提供给大家作为参考。用此程序可以基于此设计最佳的均衡器。-Guidelines for the use of MMSE equalizer design the best source available to everyone as a reference. Using this procedure can be based on this design the best equalizer.
Update : 2025-02-19 Size : 2kb Publisher : pengtanthu
[File Format] WirelesscoherentOFDMmodemsimulation DL : 0: This project aim was to build wireless software modem for data communication between two computers using an acoustic interface in the voice frequency range (20Hz– 20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz – 20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz – 16,000Hz). The test files used as information files were text files. This goal was attained both in an incoherent scheme and in a coherent scheme. Build under Matlab code, our modem uses OFDM (orthogonal frequency division multiplexing) modulation, synchronization by LMS sequence, channel estimation (no equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of 2 or 4. To optimize the probability of error, these symbols were mapped using Gray mapping. Report-This project aim was to build wireless software modem for data communicationbetween two computers using an acoustic interface in the voice frequency range (20Hz-20000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz-20000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz-16000Hz). The test files used as information files were text files.This goal was attained both in an incoherent scheme and in a coherent scheme.Build under Matlab code, our modem uses OFDM ( orthogonal frequency divisionmultiplexing) modulation, synchronization by LMS sequence, channel estimation (noequalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of2 or 4. To optimize the probability of error, these symbols were mapped using Graymapping.Report
Update : 2025-02-19 Size : 546kb Publisher :
[matlab] wanzhengchengxu DL : 0: 信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 -Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.
Update : 2025-02-19 Size : 9kb Publisher : Lee
[Speech/Voice recognition/combine] LMS-MATLAB DL : 0: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS 算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program.
Update : 2025-02-19 Size : 187kb Publisher : 宋
[Other] lunwen DL : 0: 信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 -Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.
Update : 2025-02-19 Size : 235kb Publisher : Lee
[Other] C_RLS DL : 0: 研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度对学习曲线的影响。比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。 -RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning curve. Comparison of RLS algorithm and LMS algorithm for different signal to noise ratio in the case of the learning curve.
Update : 2025-02-19 Size : 128kb Publisher : 喻海
[matlab] LMS_newchannel DL : 0: 仿真LMS均衡器采用三径叠加信道，PSK调制，并计算误码性能-LMS equalizer simulation using three-path channel superimposed, PSK modulation, and calculate the BER
Update : 2025-02-19 Size : 1kb Publisher :
[matlab] equalizer DL : 0: LS自适应均衡仿真程序，利用矩阵运算实现，程序简洁，有助于学习和理解自适应算法理论-LS adaptive equalization simulation program, using matrix operations to achieve the program simple, to the learning and understanding adaptive algorithm theory
Update : 2025-02-19 Size : 1kb Publisher : 鲁信
[matlab] leastsquare DL : 0: 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.
Update : 2025-02-19 Size : 391kb Publisher : pravin jadhav
[matlab] eqlz DL : 0: EQUALIZER USING MATLAB
Update : 2025-02-19 Size : 2kb Publisher : Vis
[Audio program] Audio_Equ DL : 0: Audio Equalizer using matlab/simulink
Update : 2025-02-19 Size : 6kb Publisher : Asif
[matlab] Equalizer DL : 0: 本文的设计均衡器以MATLAB为开发平台,利用MATLAB的GUI功能，能实现对音乐的读取,播放,音量调节,分段频率调节,以及波形显示等功能,对数字信号处理有极好的演示.-In this paper, the design of the equalizer MATLAB as a development platform, using MATLAB GUI functionality, can achieve read music, play, adjust volume, segmentation frequency regulation, and waveform display and other functions, the digital signal processing with excellent presentation .
Update : 2025-02-19 Size : 20kb Publisher :
[Windows Develop] yvcij DL : 0: Modulated signals to calculate its density Pu-related, Including single sideband, double sideband, suppressed carrier and quadruple, Genetic algorithms using MATLAB path planning.
Update : 2025-02-19 Size : 7kb Publisher : mangnougai
[matlab] A THREE BAND EQUALIZER DL : 0: Three band equalizer using matlab
Update : 2025-02-19 Size : 3kb Publisher : tharaka3001
[Documents] Audio-equalizer-using-C-on-DSP-kit--DSK6713--main DL : 0: This is a C code which has 3 user defined functions. AudioRead(), Filter() and AudioWrite(). The AudioRead() function read the .wav file and retrieve their samples. The filter() function does convolutions on input audio samples with matlab’s filter coefficients. The AudioWrite() then take these output samples as input and write them in a wav file. For this Project the DSP kit used is DSK6713.
Update : 2024-12-22 Size : 49.94mb Publisher : bourouba2004@yahoo.fr

« 12 »