Matlab for calculation does not fully independent development, containing Matlab...

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

利用matlab读取libsvm的工具包，实现数据的自动分类。压缩包里有训练文件及测试文件。(Read libsvm using matlab toolkit, automatic classification of data. Compression bag has training documents and test files.)

matlab 中常用函数查询表，函数功能说明(matlab function lookup tables used)

单载波频域均衡中，信道是一个很关键的问题，信道估计的好坏也直接影响系统的性能，确定一个好的信道估计序列是至关重要的，chu 序列是一种很好的估计序列(Single-carrier frequency domain equalization, the channel is a very critical issue, good or bad channel estimation is also directly affect the performance of the system to determine a good channel estimation sequence is critical, chu sequence is a good estimate of the sequence)

Apriori算法的第一步是简单统计所有含一个元素的项集出现的频率,来决定最大的一维项目集。在第k步,分两个阶段,首先用一函数sc_candidate(候选)

包含了阵列信号处理的常见算法，主同步信号PSS在时域上的相关仿真，采用偏最小二乘法，基于kaiser窗的双谱线插值FFT谐波分析，仿真图是速度、距离、幅度三维图像，包括面积、周长、矩形度、伸长度。

电力电子技术与MATLAB仿真（21世纪高等学校规划教材）(Power electronic technology in the 21st century with MATLAB simulation (high school) plan )

数字信号处理之相关源码集，是学习和应用数字信号处理的MATLAB7.0一些基本的源代码。(Digital signal processing related code sets, learning and application of digital signal processing MATLAB7.0 some basic source code. )

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

Vth system calculation