搜索资源列表
3
- 离散小波变换与理想重建的FPGA实现很多有用的说明-Discrete wavelet transform and the realization of the ideal reconstruction of the FPGA descr iption of many useful
53lift
- 几篇关于5，3小波FPGA硬件实现的文章，很有帮助-5,3 wavelet few on FPGA hardware implementation of the articles, very helpful
JPEG2000_006.pdf
- 本文提出了一种基于提升算法的高效JPEG2000二维离散小波变换(2D—DWT)~ 结构，将边界延拓内嵌于离散小波变换过程中，减少了所需的内存空间和功耗。采用W 扫描输入方式和行列并行处理结构，加快了变换速度，大大提高了小波变换的效率。整个二维离散小波变换结构已经通过FPGA硬件仿真验证。-This paper presents a highly efficient algorithm based on lifting JPEG2000 two-dimensional discrete wave
gaosutuxiangxiaobojiFPGA
- 高速图像及其小波分解，并用FPGA实现，对做嵌入式图像处理的人员有益。-FPGA,wavelet,
cg2j_example
- 实现小波变换mallat算法2层重构，经测试完全正确。-Mallat implementation of wavelet transform reconstruction algorithm 2 layer has been tested is correct.
LEON2FPGA
- 基于LEON2和FPGA的在轨图像小波变换模块设计-FPGA-based LEON2 and wavelet transform in the orbit module design
NET2
- This file with the wavelet transf Mallat implementation of wavelet Verilog hdl code modules for radi Modelsim 6.6 crack, can be used f A written using Verilog DDR2 cont Simple CPU VHDL implementation an Dual-port RAM design, usi
A-VLSI-PROGRESSIVE-CODING-FOR-WAVELET-BASED-IMAGE
- this fpga based vhdl coding and report for wavlet based image compression in vhdl -this is fpga based vhdl coding and report for wavlet based image compression in vhdl
ml984_tnn7_yy475
- imanage processing wavelet de2 denoising fpga
wavelet-transform-based-image-compression
- vhdl code & document for wavelet based image compression using fpga
Discrete-Wavelet-Transform-FPGA-design-using-MATL
- Discrete Wavelet Transform FPGA Design using MatLab/Simulink
wavelet-denoise
- FPGA实现小波阈值降噪的算法说明，有大量的硕士论文，很有参考价值，基于这些资料可以写出源码。-FPGA realization of wavelet threshold noise reduction algorithm descr iption, there are a lot of master s thesis, a good reference, based on these data can be written source.
wavelet
- 根据小波去噪的原理及特点，提出了用FPGA实现小波实时信号处理的方法。实验结果证明采用FPGA实现小波信号处理能在低信噪比的情况下有效去除噪声，同时能够满足信号处理系统的实时性要求。-According to the principles and characteristics of wavelet denoising, a method using wavelet FPGA real-time signal processing. Experimental results show that