搜索资源列表
matlabgaosi
- 使用MATLAB语言编写的非高斯噪声程序，通俗易懂，非常好用-Using the MATLAB language for non-Gaussian noise process, user-friendly, very easy to use
detection
- 基于肤色模型的人脸检测程序，通过高斯模型建立相似度函数，再经过最佳阈值法来进行二值化，在经过形态学处理得到人脸区域。-Skin color model based on face detection process, the establishment of the similarity function by the Gaussian model, and then through the optimal threshold method for the two values, obtaine
BispectrumWavelets
- 用双谱和小波变换去除信号中加性高斯噪声的相关程序 1.实现单个变量的双谱分析程序 2.用傅立叶反变换求自相关函数的程序 3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序 4.读取.wav语音信号后用小波去加信白噪声的程序 5.用各种小波和阀值对同一信号去加性噪声效果比较的程序 -Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. T
4.5.2
- 用matlab对基带数字系统进行仿真。整个系统描述了信号的发送和调制过程。其中调制采用16QAM，并且采用基带传输，不必调制到载频上。系统总采用了高斯信道，在接受端采用解调并与发送型号进行比较得到误码率。-Using matlab to base-band digital system simulation. Describes the overall system signal to send and modulation process. Which modulation using 16Q
Gauss2
- 列主元高斯消去：解方程组用，在实际使用高斯消去法时，常结合使用“选主元”的技术以避免零主元或小主元的出现，以便保证高斯消去发的正常进行或改善求解过程的数值稳定性。-PCA out Gaussian elimination: Solution of equations used in the actual use of Gaussian elimination method, often combined with the use of PCA election technology in o
textureclassfication
- 提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果. -Based on the function connected perceptron neural network tex
WienerFilter_c_language
- 在C++环境中实现高斯滤波和维纳滤波过程，图像去噪-In the C++ Environment Gaussian filtering and Wiener filtering process, image denoising
NOSE
- 这个matlab程序实现的是一个噪声生成器，它可以生成高斯、椒盐、加性及乘性噪声，并把这些噪声添加到一幅图像上。-Matlab implementation of this process is a noise generator, it can generate Gaussian, salt and pepper, additive and multiplicative noise, and noise is added to put these on an image.
gaosizhengsuanfansuan
- 高斯投影在我国GIS应用中是最常用的投影，本程序实现了高斯正算和反算-Gauss projection GIS applications in China is the most commonly used projection, the process is to achieve a balance and anti-Gaussian operator
TEST1402
- 这个程序是对高斯消去法求解线性方程组的fortran源代码-This process is a Gaussian elimination method to solve linear equations of the fortran source code
Gauss
- 产生高斯白噪声的程序已经调通 可以用来产生平均值为1的 白噪声-Have a Gaussian white noise process has been transferred Qualcomm
OptimumThrsholding
- 编写实现最优阈值方法。假设目标和背景的分布为高斯分布。程序的输入参数根据公式要求而定。将得到的值作为程序输入的参数，对图像进行分割。-Preparation methods to achieve the optimal threshold. The assumption that the distribution of the target and background for the Gaussian distribution. Procedures in accordance with th
gaosizaosheng
- 此程序是C++程序 在VC++6.0中编译通过的，可以实现高斯白噪声的生成程序，高斯噪声在实际生活中是很普遍的，尤其是通信领域，此程序为大家提供了方便，并通过了测试。 -This program is C++ program in VC++6.0 compiler adopted to achieve the generation of Gaussian white noise process, Gaussian noise in real life is very common, espe
R1-091775
- Phase noise resulting in Common Phase Error (CPE) and Inter-Carrier Interference (ICI) is a critical challenge to the implementation of OFDM systems. Modeling phase noise as a stationary Gaussian random process with the specified power spectr
R1-092264
- Phase noise resulting in Common Phase Error (CPE) and Inter-Carrier Interference (ICI) is a critical challenge to the implementation of OFDM systems. Modeling phase noise as a stationary Gaussian random process with the specified power spectr
My_gauss_algorithm
- 这是高斯消元法，出去了选主元的过程！数值计算中必须会的算法！-This is the Gaussian elimination method, PCA out of the election process! Numerical algorithm must be!
matlab
- 用MATLAB编写程序实现BPSK的调制与解调过程，并且为了模拟数字通信系统过程，在调制后加入高斯白噪声。-MATLAB program used to prepare the BPSK modulation and demodulation process, and in order to simulate the process of digital communication system, in the modulated Gaussian white noise after.
Particle_4
- 粒子滤波的重要性是不言而喻的。它不仅能处理高斯线性的还能处理非高斯非线性的。本程序是另一个版本的matlab代码的第二部分。-The importantce of particle filter is obvious. It can process not only linear gaussian system but also nonliear system. This is another version matlab source of particle filter and is the
stproc-2.1
- matlab的随机过程仿真实现，包含泊松过程，指数分布，高斯分布等-matlab random process simulation to achieve, including the Poisson process, exponential distribution, Gaussian distribution
MIMO pd
- MIMO雷达是最近几年兴起的一种新体制雷达，能够有效地克服目标RCS闪烁，本程序模拟仿真了MIMO雷达在高斯噪声背景中的检测性能以及恒虚警检测的性能。-MIMO radar is the rise in recent years, a new system of radar, which can effectively overcome the target RCS flashes, the process simulation of the MIMO radar detection Gauss