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- x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析-x = 2 * sin (4 * pi * t) 5 * cos (8 * pi * t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis
sin-fft
- 注释非常详细的FFT变换，用matlab实现两个正弦函数的区分，初学着都能看懂-Notes very detailed FFT transform, with the achievement of the two sine function matlab distinction, the novice can understand
fft
- Radix-2 Fast Fourier Transform, real or complex sin/cos transform -Radix-2 Fast Fourier Transform, real or complex sin/cos transform
sin
- 实现正弦波的傅里叶变换，并且画图 频谱图-The realization of the Fourier sine transform, and spectral graph drawing
FFT
- 利用傅立葉轉換計算核心的部份，再用sin,cos的方式以表顯示。-Calculated using Fourier transform part of the core, and then sin, cos the manner shown in the table below.
fft_plot
- routine to take the Fourier transform of a signal and plot both the time and frequency domain representations. Typical use: >> n = 100 number of data points >> dt = 0.01 spacing between samples >> t = 0:dt:(n-1)*dt time
FFT
- 基于时间抽取的8~1024点FFT的程序及输入、输出，用TMS320C54x汇编编写，已通过调试，并对输入方波信号进行FFT变换，检验输出信号是否是一sin波形-Based on the time taken from 8 to 1024 points FFT process and the import, export, and to prepare a compilation TMS320C54x through debugging, and enter the square wave si
DSP_TEST
- 实现sin函数快速傅里叶变换，代码齐全。-Fast Fourier Transform function to achieve sin
examples-(dsp-and-communications)
- this .rar file is dedecated to the beginers in the communications and digital signal processing fileds : 1. simple amplitude modulation 2. Disictete Fourier Transform 3. plotting the digital symbols 4. Digital Data Representation 5. Digital
sin
- 小波变换 bd3，sym8，小波去噪，两种方法对比-Transform bd3, sym8, wavelet denoising, compared two methods
dsp_system
- 实现一个数字信号处理的仿真系统 。具有界面并实现以下功能：能产生（得到）并选择各种数字信号（sin、方波、三角波、语音、噪声及其叠加）；具有DFT和DCT变换功能，对各种信号进行变换；设计滤波器实现低通、高通、带通滤波，得到输出信号的频域特性和时间序列。-the realization of a digital signal processing simulation system. Requires interface and achieve the following functions:
cwt-sin
- 用matlab实现正弦信号的连续小波变换，绘制变换前后图形-Sinusoidal signal with matlab to achieve the continuous wavelet transform, rendering transform before and after the graphics
619
- C THE INVERSE LAPLACE TRANSFORM OF 1/(P**2+1) IS COMPUTED C FOR T=0.1,1,2,3,4,5,10,20,30,40,50,60,70,80,90 AND 100 C (THESE VALUES ARE STORED IN THE ARRAY TVAL). C THE REQUESTED TOLERANCES ARE EPSAB=EPSRE=1.0D-4, 1.0D-8 C AND 1.0D-12 (THESE V
Discret-Wavelet-Transform-got-Daub2-by-Santhana-R
- y=d2wavelet(x,Fs,level) does the 2nd order Daubechies Wavelet Transform of signal x with a sampling frequency Fs and the DWT is decomposition is done upto a level It returns the matrix of all decompositions and the final approximations. Instead
sin-FFT--IFFT
- 对原始正弦信号进行傅里叶变换与逆变换并给出结果-Fourier transform and inverse transform the original sinusoidal signals and gives results
yi
- 基于matlab 的叠加高斯白噪声的正弦信号频谱分析，给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4)，设定f0.f1的值，加了噪声之后做快速傅里叶变换，在matlab中分析其频谱，验证是否与f0,f1的值符合。再变换N值，看随着N值的变化对应点是否符合及有何变化。-Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, giv
ee
- 快速傅里叶变换 (FFT) 实现，给定信号x(t)=sin(2πf0t)，f0=50Hz，对x(t)以fs=200Hz进行抽样，抽样点数为N=16。编写程序实现对x(n)的快速傅里叶变换，求得相应的X(K)。-Fast Fourier Transform (FFT) to achieve a given signal x (t) = sin (2πf0t), f0 = 50Hz, for x (t) with fs = 200Hz sampling, the sampling points is
xiaobo1
- sin函数的简单一维小波变换与一维傅里叶变换的比较算法-sin function with a simple one-dimensional wavelet transform one-dimensional Fourier transform of the comparison algorithm
sin-and-xiaobo
- 正余弦滤波和小波变换融合算法,图像去噪方法.-Algorithm, image denoising cosine filter and wavelet transform fusion.
Fourier-Transform
- 傅立叶变换（FT）将时间函数（信号）分解为构成它的频率，其方式类似于如何将音乐和弦表示为其组成音符的频率（或音调）。在这个排序库中，我将实现一个通用的傅立叶变换算法，对于>0个的常数a，b，...它能够分解函数f（x）=sin（2apix）+sin（2bpix）...。 作者 Fotios Kapotos-初始工作 这个项目是根据麻省理工学院的许可证授权的-参见LICENSE.md许可证文件以获取详细信息(The Fourier transform (FT) decomposes a f