svm_algorith_matlab

matlab中用m文件和Simulink共同实现WIFI的仿真，学习的好资料！(matlab with m documents and a common realization of Simulink simulation WIFI, learning good information!)

本论文利用TI公司的16位定点DSP芯片TMS320VC5416-160的硬件、软件结构和特性实现了数字滤波器的设计。深入研究了DSP芯片的硬件开发技术和软件编程技术及调试技巧 在MATLAB环境下,利用MATLAB语言编写程序对IIR滤波器进行仿真并得到滤波器的系数 关于matlab与DSP等。(In this paper, the use of TI' s 16-bit fixed-point DSP chip TMS320VC5416-160 hardware, software structure and characteristics of a digital filter design. In-depth study of the DSP chip technology hardware and software programming and debugging skills in the MATLAB environment, using MATLAB programming language for simulation of the IIR filter and the filter coefficient matlab and DSP and so on.)

数字图像处理姚敏版第四章图像增强所有例子的matlab完整代码 可运行(Yao Min version of Digital Image Processing Image Enhancement Chapter complete code for all examples can be run matlab)

自适应有限元子程序，用来求解不同边界条件（第一类和第二类）的拉普拉斯方程(Adaptive finite element subroutine, used to solve different boundary conditions (first and second class) the Laplace equation)

对从金属棒材中提取的超声缺陷信号经过自适应滤波以后的极坐标显示图(polar graph of ultrasonic defect signal)

使用EM算法，估计16QAM调制方式下的信噪比(EM algorithm using the estimated signal to noise ratio under 16QAM modulation)

在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。(In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ).)

Scatter plot for large data set (tested for 10 million points)

3GPP演进协议LTE 实现检测CLSM OLSM SISO SIxO(The 3GPP Evolution agreement LTE detection CLSM OLSM SISO SIxO)

通过对序列图像进行混合高斯建模，分离背景和前景目标。(Gaussian mixture modeling of image sequences, separation of background and foreground objects.)