Description: 用FFT分别计算Xa(n) (p=8, q=2)与Xb(n) (a =0.1,f =0.0625)的16点循环卷积和线性卷积。-Calculated using FFT, respectively, Xa (n) (p = 8, q = 2) and Xb (n) (a = 0.1, f = 0.0625) of the 16 points cyclic convolution and linear convolution. Platform: |
Size: 10240 |
Author:万宁宁 |
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Description: 基于MATLAB平台实现利用FFT计算线性卷积-MATLAB-based platform for the realization of the linear convolution calculation using FFT Platform: |
Size: 1024 |
Author:gushihu |
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Description: 印度GURUNANAK ENGINEERING COLLEGE数字信号处理实验室的DSP+c+Matlab联合编程手册-DIGITAL SIGNAL PROCESSING LAB (IV-I SEM)
INDEX
1. Architecture of DSP chips-TMS 320C 6713 DSP Processor
2. Linear convolution
3. Circular convolution
4. FIR Filter (LP/HP) Using Windowing technique
a. Rectangular window
b. Triangular window
c. Kaiser window
5. IIR Filter(LP/HP) on DSP processors
6. N-point FFT algorithm
7. Power Spectral Density of a sinusoidal signals
8. FFT of 1-D signal plot
9. MATLAB program to generate sum of sinusoidal signals
10. MATLAB program to find frequency response of analog Platform: |
Size: 1582080 |
Author:wangjin |
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Description: 利用matlab进行FFT和IFFT计算线性卷积，并得到其曲线-Using matlab FFT and IFFT calculations for linear convolution, and get the curve Platform: |
Size: 5120 |
Author:张雯 |
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Description: 用matlab编写的线性卷积和FFT，与matlab自带函数功能一样。每行代码都有注释，便于拓扑和扩展-Linear convolution and FFT using matlab matlab own function function. Each line of code is well commented, easy topology and extended Platform: |
Size: 1024 |
Author:周和 |
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Description: 给定两个序列 x(n)=[2,1,1,2],h(n)=[1,-1,-1,1,]， 。首先直接在时域计算两者的线性卷积；然后用FFT快速计算二者的线性卷积，验证结果。-Given two sequences, a.First directly evaluated both linear convolution in time domain Then using FFT fast calculation of the two linear convolution, the verification results. Platform: |
Size: 13312 |
Author:廖铭文 |
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Description: 1.对于两个序列：x(n)=n R16(n),h(n)=R8(n)
（1）在同一图形窗口中绘出两序列的时域图形。
（2）利用FFT编程计算两序列的线性卷积，绘出的时域图形。
-1. For two sequences: x (n) = n R16 (n), h (n) = R8 (n)
(1) draw the two sequences in the same time-domain graphics window graphics.
(2) calculation of the linear programming using the FFT convolution of two sequences of time domain graph plotted. Platform: |
Size: 3072 |
Author:李闯 |
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Description: 探索卷积的不同的实现方法，而非用matlab中的卷积命令(explore how this can be calculated efficiently using the FFT. This entails understanding the
difference between linear and circular convolution. We will explore using the FFT and compare it with a conventional
direct implementation of the convolution. To obtain the greatest advantage of the fft all the filters that we will use
have a sample length that is an integer power of 2. In general, it is always possible to pad an FIR filter with zeros to
achieve this.) Platform: |
Size: 580608 |
Author:Jessicapu |
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Search - linear convolution using fft