资源列表
BeamFormer_LFM
- 声纳系统中,波束形成的仿真,发射信号为LFM,有疑问请发邮件~-sonar system, the beam-forming simulation, signal to launch LFM, the question please send an e-mail to
DSP4
- 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP5
- 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP8
- 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP9
- 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP10
- 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。-digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.
DSP11
- 数字信号处理中的一些matlab源程序。-digital signal processing some of the Matlab source.
DSP12
- 数字信号处理中的一些matlab源程序。-digital signal processing some of the Matlab source.
tuous
- 我编写的利用trous(多孔算法)实现小波变换,利用‘db4’小波函数分解两层,其中卷积运算采用频域的fft算法,给出了仿真信号的处理结果。-prepared by the use of trous (porous algorithm) to achieve wavelet transform, use 'db4' wavelet decomposition layers, which used convolution operators fft the frequency do
edege_detection
- 基于小波变换模极大的多尺度图像边缘检测matlab源代码,该算法采用的是样条小波,为了更好的检测边缘,用多孔算法代替了mallat算法。该算法和mallat快速算法主要区别: 1 多孔算法不需要抽取偶数样本,所以奇异检测定位更准确,相应的重构是不需要插零。2 多孔算法需要对滤波器进行伸缩。-based on wavelet transform modulus maxima of multiscale edge detection Matlab source code, The algori
lpr_loc
- 我编写的基于颜色分量的汽车牌照定位识别。主要有以下几步:1 基于颜色分量的灰度值识别出车牌(基于蓝色车牌)2 从蓝色区域中识别白色的号码-prepared by the color components based on the vehicle license location identification. The following are the main steps : a component based on the color of gray values identificatio
demo_1dfdtd
- 关于FDTD的例子,是一维的,非常的精彩-on FDTD example is the one-dimensional, very exciting