Description: 对于淹没在复高斯白噪声中的信噪比为-5dB二次调频信号，在矩形窗长为256的情况下，滤波器组时频检测仿真-for drowned in the complex Gaussian white noise in the signal-to-noise-dB second FM signal in the long rectangular windows of the 256 cases, the time-frequency filters Detection Simulation Platform: |
Size: 1147 |
Author:eric |
Hits:
Description: 对于淹没在复高斯白噪声中的信噪比为-5dB二次调频信号，在矩形窗长为256的情况下，滤波器组时频检测仿真-for drowned in the complex Gaussian white noise in the signal-to-noise-dB second FM signal in the long rectangular windows of the 256 cases, the time-frequency filters Detection Simulation Platform: |
Size: 1024 |
Author:eric |
Hits:
Description: 描述了在高斯白噪背景下，对直扩信号进行检测所采用的方法和仿真流程。-Describes the Gaussian white noise in the background, on the Direct Sequence Spread Spectrum Signal detection methods and simulation process. Platform: |
Size: 246784 |
Author:李骥东 |
Hits:
Description: 采用MUSIC方法的白噪声频率检测仿真
白噪声中单个正弦信号的频率检测与估计
白噪声中多个正弦信号的频率检测与估计
-MUSIC method using white noise white noise simulation of the frequency of detection of a single frequency sinusoidal signal detection and estimation of white noise in the frequency of a number of sinusoidal signal detection and estimation Platform: |
Size: 1024 |
Author:朱照 |
Hits:
Description: 《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。 -" Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications. Platform: |
Size: 17589248 |
Author:ng |
Hits:
Description: 《数字通信（第四版）》答案
《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。-The solution of "Digital communication"
" Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications. Platform: |
Size: 1471488 |
Author:忍着 |
Hits:
Description: In Analog systems, the chief objective is the fidelity of reproduction of waveforms, hence, the suitable performance criterion is the output signal to noise ratio. The choice of this criterion stems from the fact that the signal to noise is related to ability of the listener to interpret a message. Matched filter is the optimum linear filter that maximizes the output signal to noise ratio. The Matched filter is optimum in the sense that it maximizes the signal amplitude to rms noise ratio at the decision-making instant. Although it is reasonable to assume that maximization of this signal to noise ratio will minimize the detection error probability, we have not proved that threshold detection is the optimum method from the detection error point of view. It will be shown that when the channel noise is white Gaussian, the matched filter receiver is indeed the optimum receiver that minimizes the detection error probability.- In Analog systems, the chief objective is the fidelity of reproduction of waveforms, hence, the suitable performance criterion is the output signal to noise ratio. The choice of this criterion stems from the fact that the signal to noise is related to ability of the listener to interpret a message. Matched filter is the optimum linear filter that maximizes the output signal to noise ratio. The Matched filter is optimum in the sense that it maximizes the signal amplitude to rms noise ratio at the decision-making instant. Although it is reasonable to assume that maximization of this signal to noise ratio will minimize the detection error probability, we have not proved that threshold detection is the optimum method from the detection error point of view. It will be shown that when the channel noise is white Gaussian, the matched filter receiver is indeed the optimum receiver that minimizes the detection error probability. Platform: |
Size: 2206720 |
Author:nani |
Hits:
Description: 白噪声中单个正弦信号的频率检测与估计
产生，其中是一高斯白噪声，其均值为0，方差为1。用MUSIC方法估计观测数据中正弦波的频率，并给出白噪声方差()un2uσ 与复正弦波的振幅A的估计值。-A single frequency detection and estimation of the sinusoidal signal in white noise, which is a Gaussian white noise with mean 0 and variance 1. MUSIC method to estimate the frequency of sine wave in the observation data, and gives the white noise variance () estimated value of the the un2uσ complex sine wave amplitude A. Platform: |
Size: 1024 |
Author:zee |
Hits:
Description: 阵列信号处理白色高斯噪声下检测未知参数信号的概率-The probability of detection signals of the unknown parameters in the array signal processing white Gaussian noise Platform: |
Size: 1024 |
Author:sufei |
Hits:
Description: Direct sequence spread spectrum (DSSS) communication systems has been widely
used in these years for its advantage of wide spectrum, low working Signal-to-Noise
ratio (SNR), anti-interference, anti-multipath effect and capability of LPI and LPD.
They are increasingly replacing conventional communication forms and obtaining
extensively applications in modern military and commercial communication systems,
for example, CDMA communication system, GPS , measuring and control system,
satellite chain, identification of friend or foe and etc. Therefore, corresponding DSSS
electronic counter technique becomes a big problem to solve in electronic warfare
domain. DSSS electronic counter technique including blind detection, blind parameter
estimation and spreading sequences estimation. For the issue of DSSS electronic
counter technique of DSSS/QPSK signal damaged by strong additive white Gaussian
noise (AWGN), the main research content in this dissertation as follow.
Platform: |
Size: 2061312 |
Author:yangs |
Hits:
Description: 应用在认知无线电频谱检测中。环境：经过加性白噪声的信号。功能：求解虚警概率和漏检概率。-Used in cognitive radio spectrum detection.Environment: after additive white noise signal.Function: to solve the false alarm probability and missed detection probability. Platform: |
Size: 1024 |
Author:Barnett |
Hits:
Description: 基于贝叶斯准则，用matlab仿真出二元与四元数字信号在加性高斯白噪声干扰下的统计检测的方法与性能，并与理论结果比较-Bayesian criteria using matlab simulation methods and properties of the binary and quaternary digital signal in additive white Gaussian noise of statistical tests and compared with the theoretical results Platform: |
Size: 4096 |
Author:廖为城 |
Hits:
Description: This paper proposes a novel, highly effective spectrum
sensing algorithm for cognitive radio and white space
applications. The proposed spectral covariance sensing (SCS)
algorithm exploits the different statistical correlations of the received
signal and noise in the frequency domain. Test statistics are
computed the covariance matrix of a partial spectrogram
and compared with a decision threshold to determine whether a
primary signal or arbitrary type is present or not. This detector is
analyzed theoretically and verified through realistic open-source
simulations using actual digital television signals captured in the
US. Compared to the state of the art in the literature, SCS
improves sensitivity by 3 dB for the same dwell time, which is a
very significant improvement for this application. Further, it is
shown that SCS is highly robust to noise uncertainty, whereas
many other spectrum sensors are not.-This paper proposes a novel, highly effective spectrum
sensing algorithm for cognitive radio and white space
applications. The proposed spectral covariance sensing (SCS)
algorithm exploits the different statistical correlations of the received
signal and noise in the frequency domain. Test statistics are
computed the covariance matrix of a partial spectrogram
and compared with a decision threshold to determine whether a
primary signal or arbitrary type is present or not. This detector is
analyzed theoretically and verified through realistic open-source
simulations using actual digital television signals captured in the
US. Compared to the state of the art in the literature, SCS
improves sensitivity by 3 dB for the same dwell time, which is a
very significant improvement for this application. Further, it is
shown that SCS is highly robust to noise uncertainty, whereas
many other spectrum sensors are not. Platform: |
Size: 386048 |
Author:elizeu |
Hits:
Description: Spectrum sensing is the basic and essential mechanisms of Cognitive Radio (CR) to find the unused spectrum. This paper presents an overview of CR architecture, discusses the haracteristics and benefits of a CR. Energy detectionbased spectrum sensing has beenproposed and used widely because it doesnt require transmitted signal properties, channel information, or even the type of modulation. In this paper, a surveyof energy detector over Additive White Gaussian Noise (AWGN), different fading channels for spectrum sensing methodologies in cognitive radio is presented.Theoretical analysis of time domain energy detection and threshold setting is investigated. Cooperative spectrum sensing and a multiple antenna processing based energy detector receptions are also discussed. Platform: |
Size: 816128 |
Author:Hakim |
Hits:
Description: 编写MATLAB程序，讨论在 ??_0=5×〖10〗^(?5)的加性高斯白噪声环境中，利用匹配滤波器检测幅度为2，宽度为1ms的方波信号的情况(考虑取样时间为Ts=0.1ms)，测量匹配滤波器输入信号中心处与输出信号最佳取样处的SNR，绘出信号波形。(Write a MATLAB program, "10" discussed in the _0=5 * ^ (- 5) and Gauss white noise environment, using the matching detection filter amplitude is 2, the width of 1ms square wave signal condition (considering the sampling time is Ts=0.1ms), measuring the matched filter input signal and output signal at the center of the optimum sampling at SNR, draw the signal waveform.) Platform: |
Size: 12288 |
Author:Selena_01
|
Hits:
Search - white noise detection in signal