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: 功能还不大清楚，不是本人开发的-Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Platform: |
Size: 1024 |
Author:zhangqa |
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Description: Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel
Author: Mario Tuerschmann
please read the .txt files before using. Platform: |
Size: 2048 |
Author:hasan |
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Description: In this article, we have proposed the internal architecture of a dedicated hardware for 1D/2D convolution-based 9/7 and
5/3 DWT filters, exploiting bit-parallel ‘distributed arithmetic’ (DA) to reduce the computation time of our proposed DWT
design while retaining the area at a comparable level to other recent existing designs. Despite using memory extensive bitparallel DA, we have successfully achieved 90% reduction in the memory size than that of the other notable architectures.
Through our proposed architecture, both the 9/7 and 5/3 DWT filters can be realized with a selection input, mode. With
the introduction of DA, we have incorporated pipelining and parallelism into our proposed convolution-based 1D/2D DWT
architectures. We have reduced the area by 38.3% and memory requirement by 90% than that of the latest remarkable designs.
The critical-path delay of our design is almost 50% than that of the other latest designs. We have successfully applied our
prototype 2D design for real-time image decomposition. The quality of the architecture in case of real-time image decomposition is measured by ‘peak signal-to-noise ratio’ and ‘computation time’, where our proposed design outperforms other
similar kind of software- and hardware-based implementations. Platform: |
Size: 3442321 |
Author:nalevihtkas |
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Search - convolution of 1D signal