资源列表
32c8c188d478
- 墨西哥小帽小波变换，可以用于计算机专业的图像处理和金融方面的经济数据分析 -mexican hat wavelet transform can be used in the field of image processing and economic data analysis.
bmptest1.0
- 基于h264编码的图像水印系统,只做了图片的部分，只适用于qp=10的压缩，仅供参考。-h264 watermarking
CGC_fcn
- Clebsch Gordan 系数的计算小程序 算法参考： http://en.wikipedia.org/wiki/Table_of_Clebsch E2 80 93Gordan_coefficients-A function of Clebsch-Gordan_coefficients
multi-scale-edge-detection
- SAR图像中的多尺度边缘检测，自动化程序高，效果明显-SAR images in multi-scale edge detection, automated processes, the effect is obvious
digital
- 实现离轴变换再现算法！离轴全息再现有零级像干扰，高通滤波，滤掉不必要的成分，对离轴全息图进行FFT，等到全息图的频谱分布- Off-axis transformation algorithm to achieve reproduction! Off-axis holographic reproduction zero level as interference, high pass filter, filter out unwanted ingredients, off-axis holog
zuixiaoerchengfa
- 基于最小二乘法的相位去包裹方法，包含被处理图像以及说明.-Least squares method based on phase unwrapping method contains the processed image and a descr iption.
exfun
- 基于matlab的小波包信号分析程序，对初学者有用-Wavelet packet
digital-baseband-transmission
- 掌握数字基带传输系统的误码率计算；理解信道噪声和码间干扰对系统性能的影响 -BER master digital baseband transmission system calculated understand the impact of channel noise and inter-symbol interference on system performance
pulse-code-modulation-principle
- 掌握脉冲编码调制原理； 理解量化级数、量化方法与量化信噪比的关系 -Grasp the pulse code modulation principle Understanding of quantization levels, and quantitative methods to quantify the relationship between SNR
Analog-modulation-and-demodulation
- 模拟线性调制系统的调制和解调原理,编写AM、DSB、SSB调制，并画出时域波形和频谱图-Analog modulation and demodulation principle of linear modulation systems, the preparation of AM, DSB, SSB modulation, and draw time-domain waveform and frequency spec
haarfenjie
- 形态学HAAR小波分解算法，用形态学算子替代了原有的小波分解算子，使其在边缘细节的处理更好。-Morphological HAAR wavelet decomposition algorithm, using morphological operators to replace the original wavelet decomposition operator to handle better edge detail in.
bpwave
- <青岛海洋大学学报> 2001年第1期 一种基于BP算法学习的小波神经网络，对网络初始化进行训练和学习，最后输出-< Qingdao Ocean University> 2001 first a learning algorithm based on BP neural network, the network initialization for training and learning, the final output