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高斯白噪声的算法源代码,用于通信系统的matlab编程-Gaussian white noise algorithm source code for communications systems Matlab programming
Date : 2008-10-13 Size : 1.15kb User : 刘志新

不用matlab里面的函数,自己写出来的2ASK的仿真程序,加入了白噪声,经过滤波后的波形有些变形,可能是滤波器的原因。仅供参考。-inside Matlab not a function of their 2ASK written by the simulation program, joined the white noise, filtered waveforms after some deformation, the filter may be reasons. For reference purposes only.
Date : 2008-10-13 Size : 1.89kb User : 吴杰

实现4psk调制的源程序,以及对应的在白噪声信道下的系统性能-achieve 4psk modulation source, as well as corresponding white noise in the channel system performance
Date : 2008-10-13 Size : 2.27kb User : 吴非

实现16QAM的算法程序,包含在白噪声信道条件下的性能实现程序-achieve 16QAM algorithm procedures contained in the white noise channel conditions of the performance of procedures
Date : 2008-10-13 Size : 2.05kb User : 吴非

DL : 0
昨天刚刚写好的dsb-sc信号生成与解调程序,用离散(dsp)的方法生成DSB信号,载波频率为150khz,音频是500hz和2000hz的混合音,加入SNR=1DB的噪声,用正交解调实现解调,画出解调前后的频谱图,欢迎共同学习,进步。-yesterday just finished the dsb - sc signal generation and demodulation process, discrete (dsp), the signal generated DSB, the carrier frequency of 150kHz, audio is 500Hz and 2000hz mixed audition to join SNR = 1DB of noise, with quadrature demodulator to achieve demodulation, paint around the demodulation spectrum welcome to learn together and progress.
Date : 2008-10-13 Size : 16.88kb User : 刘彦平

带瑞丽衰落信道高斯白噪声的QPSK调制解调信道,可以得到功率谱波形和星座图-with Ruili fading channel Gaussian white noise QPSK demodulator access that can be power spectrum waveform and constellation
Date : 2008-10-13 Size : 51.3kb User : 吕军红

高斯信道和噪声产生方法的简单程序,直接解压无密码-Gaussian noise channels and formation of simple procedures, without directly extracting passwords
Date : 2008-10-13 Size : 2.23kb User : 王亚琛

双击AWGNBPSK应用程序,系统运行出高斯信道的系统时频域图, 每敲一下回车键显示一幅图,最后敲两下仿真出高斯干扰的系统信噪 误码特性数据及图形,再敲两下则返回目录。 六幅时频域图分别为:原始信源、限带信源、已调信号、接收信号、低通输出、判决器出。 SNR、Er为设定信噪比及理论误码率,SnR1、otpEr为实测信噪比及实测误码率。 -click AWGNBPSK applications, the system running the Gauss channel frequency-domain system map every knock about the ENTER key a map shows, the final knock out two under Gaussian interference simulation system error signal from the noise characteristics of data and graphics, under another two were knocking back catalog. 6 pm frequency domain plan were : the original source, with limited source, modulated signal, signal reception, low-pass output, ruling out device. SNR, Er for the creation theory SNR and bit error rate, SnR1. otpEr measured for the measured SNR and bit error rate.
Date : 2008-10-13 Size : 43.77kb User : 曹雨

This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run \"Simulation.m\" function that include all modules-This packet is a IS-95 baseband simulation for a channel data rate of 9.6 KBps. The simulati on is written for static channel and AWGN noise. The packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules
Date : 2008-10-13 Size : 10.02kb User : lisi

高斯信道和噪声产生方法的简单程序,直接解压无密码-Gaussian noise channels and formation of simple procedures, without directly extracting passwords
Date : 2025-12-29 Size : 2kb User : 王亚琛

This packet is a IS-95 baseband simulation for 1 data channel of 9.6 KBps rate. The simulation is written for static channel and AWGN noise. The packet include: 1) Packet Builder (Viterbi Encoding, Interleaver, PN generation) 2) Modulator (RRC filter) 3) Demodulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterleaver, Viterbi Decoder). You should run "Simulation.m" function that include all modules-This packet is a IS-95 baseband simulation for a channel data rate of 9.6 KBps. The simulati on is written for static channel and AWGN noise. The packet include : 1) Packet Builder (Viterbi Encoding. Interleaver. PN generation) 2) Modulator (RRC filter) 3) Dem odulator (Matched Filter, RAKE receiver) 4) Receiver (HD or SD) (Deinterl eaver. Viterbi Decoder). You should run "Simulation. m "function that include all modules
Date : 2025-12-29 Size : 10kb User : lisi

GaussNoise 通信中加入高斯噪音 需要调试-GaussNoise communication needs by adding Gaussian noise Debugging
Date : 2025-12-29 Size : 10kb User : jackies

DL : 0
利用最小方差方法估计复正弦加白噪声得平稳信号的功率谱-Minimum variance estimation using complex sinusoidal plus a stationary white noise signal power spectrum
Date : 2025-12-29 Size : 1kb User : yutan

simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN-simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN
Date : 2025-12-29 Size : 2kb User : dan

Phase noise resulting in Common Phase Error (CPE) and Inter-Carrier Interference (ICI) is a critical challenge to the implementation of OFDM systems. Modeling phase noise as a stationary Gaussian random process with the specified power spectrum density, different from conventional approaches which mostly relay on pilots to provide CPE estimation, we explore the statistical characteristics of the sufficient statistics then propose a pilot-aided decision-directed approach according to maximum-likelihood criterion. Numerical results demonstrate that the proposed algorithm enjoys 2dB gain at moderate SNR and is quite robust against possible model mismatch
Date : 2025-12-29 Size : 145kb User : xiaobo

Phase noise resulting in Common Phase Error (CPE) and Inter-Carrier Interference (ICI) is a critical challenge to the implementation of OFDM systems. Modeling phase noise as a stationary Gaussian random process with the specified power spectrum density, different from conventional approaches which mostly relay on pilots to provide CPE estimation, we explore the statistical characteristics of the sufficient statistics then propose a pilot-aided decision-directed approach according to maximum-likelihood criterion. Numerical results demonstrate that the proposed algorithm enjoys 2dB gain at
Date : 2025-12-29 Size : 83kb User : xiaobo

Phase noise resulting in Common Phase Error (CPE) and Inter-Carrier Interference (ICI) is a critical challenge to the implementation of OFDM systems. Modeling phase noise as a stationary Gaussian random process with the specified power spectrum density, different from conventional approaches which mostly relay on pilots to provide CPE estimation, we explore the statistical characteristics of the sufficient statistics then propose a pilot-aided decision-directed approach according to maximum-likelihood criterion. Numerical results demonstrate that the proposed algorithm enjoys 2dB gain at moderate SNR and is quite robust against possible model mismatch
Date : 2025-12-29 Size : 6kb User : xiaobo

adaptive filters are designed for the real time implementation of noise removal from environment
Date : 2025-12-29 Size : 220kb User : FAZAL ULLAH

RLS for noise cancellation
Date : 2025-12-29 Size : 1kb User : manzo

白噪声与色噪声的仿真样例,画出其自相关与功率谱密度函数。-Simulation example white noise and color noise, draw their autocorrelation and power spectral density function.
Date : 2025-12-29 Size : 73kb User : lijianfeng
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