Description: This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a certain number. This model implements the NLMS algorithm using Embedded MATLAB.
There are two version of the model: One uses sample-based signals and the other uses frame-based signals.
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Size: 22523 |
Author:447537081@qq.com |
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Description: 广义互相关算法和最小均方自适应滤波法主要用于两路接收信号的时间延迟估计，进而利用几何方法对目标定位，常用于通信，雷达当中-broad cross-correlation algorithm and the minimum mean square adaptive filter for the two main roads to receive signals in the time-delay estimation, then use geometric method of orientation, used in communications, radar them Platform: |
Size: 1024 |
Author:潘仁杰 |
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Description: MIMO多天线设计将是实现MIMO无线通信的关键技术之一，尤其是终端
的多天线设计，其特出难点是体积受限的空间内要求各天线间具有低的接收信号
相关性，故天线的小型化设计和低相关的布局将是两个关键技术。-MIMO multi-antenna design will be the realization of MIMO wireless communications, one of the key technologies, especially the design of multi-antenna terminals, and its outstanding difficulty is the size of the space-constrained requirements of the various antennas to receive signals with low correlation, so the antenna miniaturization of the design and layout will be low correlation are two key technologies. Platform: |
Size: 6573056 |
Author:zyshun |
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Description: 两个随机信号相关DSP实现及在故障距离判别运用,是现代信号处理理论教学的实验部分,利于理解随机过程相关的实际意义-Two random signals related to DSP and realize fault distance criterion in the use of modern signal processing theory of part of the teaching experiment, which will help understanding of stochastic processes related to the actual significance Platform: |
Size: 58368 |
Author:lvnianzhi |
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Description: The angles in degrees of the two spatially propagating signals
Compute the array response vectors of the two signals
Compute the true covariance matrix Platform: |
Size: 250880 |
Author:zhaocuiqin |
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Description: Cross – Correlation of the Two FSK Signals.
FREQUENCY SHIFT KEYING - ERROR PROBABILITY:
The Probability of error of an FSK system depends on the separation of “distance” d, between two (or more) signals
The probability of error is minimum when the distance of separation is maximum i.e larger the d, smaller is the P.E.
The distance d is given by:
d = (1 - ) / 2
where
= (1 / E) 0 T s0(t) s1(t) dt.
The integral is the cross-correlation function over the period 0 to T. is restricted to values between +1 and –1.
-Cross – Correlation of the Two FSK Signals.
FREQUENCY SHIFT KEYING - ERROR PROBABILITY:
The Probability of error of an FSK system depends on the separation of “distance” d, between two (or more) signals
The probability of error is minimum when the distance of separation is maximum i.e larger the d, smaller is the P.E.
The distance d is given by:
d = (1- )/2
where
= (1/E) 0 T s0(t) s1(t) dt.
The integral is the cross-correlation function over the period 0 to T. is restricted to values between+1 and –1.
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Size: 6144 |
Author:patatas |
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Description: 单一频率的正弦相关法动态测试系统的测试方法简单，不需要对系统进行辨识。只需要观察被测系统输出信号的相差和幅值变化。通过扫频的方法测量在不同的频率点下的幅值和相位变化。在工程应用中，只需要知道被测系统的相位变化在正常的范围内就可以视系统的动态性能正常。该仿真算法只是建立了一个模型。在实际运用时还需要变换测试信号的频率和周期。-A single frequency sinusoidal correlation method of testing dynamic testing system is simple, does not require system identification. Only need to observe the difference between the measured system output signal and amplitude change. Swept through the method of measurement points at different frequencies under the amplitude and phase changes. In engineering applications, only need to know the system under test changes in the normal phase it may be possible within the framework of the dynamic performance of the system to normal. The simulation algorithm is the establishment of a model. In the practical application of test signals also needed to change the frequency and periodicity. Platform: |
Size: 6144 |
Author:黄金峰 |
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Description: An 8-QAM communications channel simulation in Simulink, constructed from a 16-QAM model and using an I,Q correlation receiver.
QAM (quadrature amplitude modulation) is a method of combining two amplitude-modulated (AM) signals into a single channel, thereby doubling the effective bandwidth. QAM is used with pulse amplitude modulation (PAM) in digital systems, especially in wireless applications. In a QAM signal, there are two carriers, each having the same frequency but differing in phase by 90 degrees (one quarter of a cycle, from which the term quadrature arises). One signal is called the ‘I’ signal, and the other is called the ‘Q’ signal. Mathematically, one of the signals can be represented by a sine wave, and the other by a cosine wave. The two modulated carriers are combined at the source for transmission. At the destination, the carriers are separated, the data is extracted from each, and then the data is combined into the original modulating information. -An 8-QAM communications channel simulation in Simulink, constructed from a 16-QAM model and using an I,Q correlation receiver.
QAM (quadrature amplitude modulation) is a method of combining two amplitude-modulated (AM) signals into a single channel, thereby doubling the effective bandwidth. QAM is used with pulse amplitude modulation (PAM) in digital systems, especially in wireless applications. In a QAM signal, there are two carriers, each having the same frequency but differing in phase by 90 degrees (one quarter of a cycle, from which the term quadrature arises). One signal is called the ‘I’ signal, and the other is called the ‘Q’ signal. Mathematically, one of the signals can be represented by a sine wave, and the other by a cosine wave. The two modulated carriers are combined at the source for transmission. At the destination, the carriers are separated, the data is extracted from each, and then the data is combined into the original modulating information. Platform: |
Size: 11264 |
Author:Griffin Wright |
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Description: 非常好用的工具箱，方便你编程时使用，都是最基本的。-The Time-Frequency Toolbox (TFTB) is a collection of about 100 scripts
for GNU Octave and Matlab (R) developed for the analysis of
non-stationary signals using time-frequency distributions. It is
primary intended for researchers and engineers with some basic
knowledge in signal processing.
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Size: 622592 |
Author:王群 |
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Description: 此MATLAB程序用于自相关函数的估计（包括直接法和FFT法），信号的频率估计（包括MUSIC, ROOTMUSIC，ESPRIT和MVDR）和功率谱的估计（包括LevinsonDurbin迭代法，BT法和周期图法），并附带相应的仿真图以便于对比-MATLAB for correlation estimate :direct and FFT transform frequency estimate of signals:MUSIC, ROOTMUSIC，ESPRIT和MVDR power spectrum estimate : LevinsonDurbin and BT,corresponding figures are accompanied to compare Platform: |
Size: 24576 |
Author:zhouni |
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Description: 短时相关器，利用噪声和信号相关性的不同，来检测瞬态信号。-Short-time correlator, the use of noise and signal correlation of different, to detect transient signals. Platform: |
Size: 1024 |
Author:薛 |
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Description: 用于求解并绘制两个直扩信号的二维循环相关函数及对应二维图-two dimensional circle correlation of two direct sequence spread spectrum signals Platform: |
Size: 2048 |
Author:孟云云 |
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Description: 相关性研究的最新研究成果Scaled correlation analysis 欧洲神经科学杂志2012年1月-When computing a cross-correlation histogram, slower signal components can hinder the detection of faster components, which are
often in the research focus. For example, precise neuronal synchronization often co-occurs with slow co-variation in neuronal rate
responses. Here we present a method – dubbed scaled correlation analysis – that enables the isolation of the cross-correlation
histogram of fast signal components. The method computes correlations only on small temporal scales (i.e. on short segments of
signals such as 25 ms), resulting in the removal of correlation components slower than those defined by the scale. Scaled correlation
analysis has several advantages over traditional filtering approaches based on computations in the frequency domain. Among its
other applications, as we show on data from cat visual cortex, the method can assist the studies of precise neuronal synchronization. Platform: |
Size: 3935232 |
Author:lifan |
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Description: Autocorrelation is the cross-correlation of a signal with itself. Informally, it is the similarity between observations as a function of the time separation between them. It is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal which has been buried under noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. It is often used in signal processing for analyzing functions or series of values, such as time domain signals. Platform: |
Size: 11264 |
Author:nyotnyot |
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Search - correlation of signals