Search - samples noise matlab

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[matlab] periodogramestimate DL : 0: Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d). -Generate 100 samples of a zero-mean white noise sequence with variance, by using a uniform random number generator.a Compute the autocorrelation of for. B Compute the periodogram estimate and plot it. C Generate 10 different realizations of, and compute the corresponding sample autocorrelation sequences, and. Compute the average autocorrelation sequence as and the corresponding periodogram for. d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
Date : 2026-01-10 Size : 1kb User : 冀晗
[matlab] c8_PSDexample DL : 0: 这个例子里，我们将独立(白噪声)样本通过有5dB通带纹波的切比雪夫滤波器。试估计滤波器输出端的PSD。实现这一估计的MATLAB程序如下: -This example, we will be independent (white noise) samples through a 5dB passband ripple Chebyshev filter. Estimate the filter output PSD. MATLAB program to achieve this estimate is as follows:
Date : 2026-01-10 Size : 1kb User : defang
[matlab] MATLAB DL : 0: 对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是：其中，，，；是高斯白噪声，方差为。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。-Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.
Date : 2026-01-10 Size : 2kb User : gab
[matlab] Mfile DL : 0: 假设用图示所示的两个正交信号经由一个AWGN信道传输二进制信息，在持续期Tb的每个比特区间接收到的信号以10/Tb速率采样，即每个比特区间内10个样本，幅度为A。噪声是均值为零，方差为的高斯过程。写MATLAB程序，在方差为0,0.1,1.0和2.0时，完成接收信号和两种发射信号的每一种的离散时间相关，画出在时刻k=1,2,…,10相关器的输出。-Assuming an AWGN channel transmission via binary information in two orthogonal signals icon shown in the ratio of each signal received indirect SAR duration Tb to 10/Tb sampling rate, that is, within the range 10 samples per bit, amplitude A. Noise is zero mean and variance of the Gaussian process. Write a MATLAB program, the variance is 0,0.1,1.0 and 2.0, to complete each of the two discrete-time signals and transmit the received signal correlation shown in the time k = 1,2, ..., 10 output of the correlator .
Date : 2026-01-10 Size : 2kb User : 卢昳丽
[matlab] lpc_vocoder_rev2 DL : 0: 这个MATLAB构建一个锻炼LPC声码器,即,执行LPC分析和合成语音文件,导致合成语音近似原始的演讲。LPC分析使用一个标准的自相关分析来确定LPC系数的设置,一帧一帧的基础上,以及框架获得。一个独立的分析方法(cepstral螺距内检测器)把每一帧的言论是要么表示演讲(时间由cepstral峰值的位置在指定范围的音调时期)或无声的言论(模拟随机噪声帧)0帧基音周期的样本。独立的分析提供了一个两国并存的激发函数LPC合成处理的一部分,包括一系列的脉冲(表示帧期间)和/或噪声序列(在无声的帧)。-This MATLAB exercise builds an LPC vocoder, i.e., performs LPC analysis and synthesis on a speech file, resulting in a synthetic speech approximation to the original speech. The LPC analysis uses a standard autocorrelation analysis to determine the sets of LPC coefficients, on a frame-by-frame basis, along with the frame-based gain. An independent analysis method (a cepstral pitch period detector) classifies each frame of speech as being either voiced speech (with period determined by the location of the cepstral peak in a designated range of pitch periods) or unvoiced speech (simulated by a random noise frame) with a frame pitch period of 0 samples. The independent analysis provides a two-state excitation function for the LPC synthesis part of the processing, consisting of a series of pitch pulses (during voiced frames) and/or noise sequences (during unvoiced frames). The file 5.13 LPC Vocoder.pdf provides a User s Guide for this exercise.
Date : 2026-01-10 Size : 2.38mb User : wujin