music

ue2 - prostownik z dioda zenera obliczenia

光伏电池阵列模型，用于多电池的光伏发电仿真模型的建立(Photovoltaic array model for multi-cell photovoltaic Simulation Model)

contains OFDM technique and AWGN channel acts as noise

双目标 NSGAII 算法案例(A case of double target NSGAII algorithm)

matlab辅导讲义，介绍上机的，非常适合初学者使用(matlab counseling lectures, introduced on the machine, very suitable for beginners to use)

Basic DV hop Algorithm to find Hop Matrix

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

conversion binary to c

说明：  这是一个快速的三维图像双边滤波的实现。这个过滤器平滑图像的同时保留边缘，但在其最直接的实现是非常计算的要求，特别是对大型3D图像。快速双边滤波是一种近似技术，极大地提高了计算速度。我的实现严格遵循Matlab版的快速二维滤波器，只是做了一些修改(This is an implementation of fast bilateral filtering for 3D images. This filter smoothes the image while preserving edges, but in its most straightforward implementation is very computationally demanding, especially with large 3D images. Fast bilateral filtering is an approximation technique which drastically improves the speed of computation. My implementation closely follows the Matlab version of the fast 2D filter with some modifications)

uwb无线电基础代码，第八章，超宽带信道与接收机。(based on UWB radio code, Chapter VIII, ultra-wideband channel and receiver.)