搜索资源列表
semilogy_rice_fading
- rician衰弱概率密度图 matlab环境下-rician matlab semilogy
DUOJING
- 本人收集的关于多径衰落、瑞利，RICE信道、QPSK等仿真程序，经过本人测试，全部可用，并附上测试结果及仿真图.-I collected on the multipath fading, Rayleigh, RICE channel, QPSK simulation program, etc., after I test, all available, along with test results and simulation of Fig.
DUOJIN2
- 本人收集的资料2，有多径信道、多普勒频移，瑞利、RICE(莱斯)信道等仿真，QPSK调制和解调等，交织编码。程序经过本人测试，绝对可用，并附上本人测试说明和仿真图像结果-I collected information on 2, how-path channel, Doppler frequency shift, Rayleigh, RICE (Rice) channel, such as simulation, QPSK modulation and demodulation, etc.,
Wavelet-based-pattern-analysis
- 美国Rice大学提供的基于小波的模式分析matlab程序-Rice University, USA matlab program mode based on the wavelet analysis
src
- Rice 小波变换工具箱，国外好多matlab程序都需要引用这个工具箱中的函数。-Rice dwt
Wavelet-domain-Hidden-Markov-M
- 用小波域隐马尔科夫树模型进行图像降噪的matlab软件，rice大学编制,Software For Image Denoising Using Wavelet-Domain Hidden Markov Tree Models
Filter-Design-Algorithms.rar
- 几种用不同方法设计的数字滤波器matlab程序，rice大学编制,Several Matlab programs are available for the design of digital filters by several different approaches
Time-Frequency-Analysis
- 时变谱分析的matlab和C语言程序，rice大学编制-Matlab and C-language programs for time-varying spectral analysis
QPSk-under-the-les-simulation
- qpsk信号在莱斯信道下的仿真图片，该功能能够在Matlab中实现，并显示出当N为不同值时，莱斯信号的图-QPSK signal under rice channel simulation images, this functionality can be implemented in Matlab, and displays when N is different value, les signal diagram
channels-analyse
- 用matlab分析瑞利信道、莱斯信道以及高斯信道的性能优劣。-Using matlab to analyze the performance merits of the Rayleigh channel, Rice channel and channel Gaussian.
Alamouti3_code
- matlab实现的对MIMO的Alamouti方案的不同信道仿真，包括nakagami，Rayleigh和rice三类典型信道的仿真分析。-matlab based simulation of Alamouti schemes in mimo system. we compared different Alamouti schemes in different channels like nakagami，Rayleigh and rice.
image-enhancement-(rice)
- image enhancement for rice image in the image processing tool box in matlab
作业3
- 使用matlab自带的rice图像进行边缘检测(using the rice image from matlab platform as a sample image.detect deges of this image by using canny dege detection method and segment tihs image using watershed method)