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点乘$\cdot$　\cdot　

矩阵$\begin{bmatrix} 5 & 0 & 0 \\ 0 & 5 & 0 \\ 0 & 0 & 5 \end{bmatrix}$　\begin｛bmatrix｝ 5 & 0 & 0 \\ 0 & 5 & 0 \\ 0 & 0 & 5 \end｛bmatrix｝  (&空格，\\换行)

阿尔法$\alpha$  \alpha

贝塔$\beta$  \beta

分号$\frac{a}{b}$  \frac{a}{b}

$\triangleq$  \triangleq

$\wedge$  \wedge

$\vee$  \vee

$\lambda$  \lambda

$\in$  \in

$\sigma$  \sigma

$\Sigma$  \Sigma

$\zeta$  \zeta

$\thickapprox$  \thickapprox

$\mathop{min}\limits_{\Delta{x}}$  \mathop{min}\limits_{\Delta{x}} (若是普通符号，那么要用\mathop先转成数学符号再用\limits)

参考：http://www.mohu.org/info/symbols/symbols.htm

 

$\renewcommand{\thealgorithm}{1}   %定义算法的编号$

$\begin{algorithm}[H] $
$\caption{Doppler Profile Extraction}$
$\begin{algorithmic}[1]$
$\REQUIRE{Spectrogram matrix $P$, centre frequency bin $cf$}$
$ \ENSURE{Doppler shift profile $DopShift$}\\$
$\STATE{colNum=getColumNum($P$);} \\$
$\STATE{$DopShift$(1:colNum)=$cf$;}  //initialization \\$
$\FOR{i=1:colNum}$
  \STATE row=getNonNullRows(col(i)); // get non-null rows of the $i$th col\\
 \IF{isNotEmpty(row)}
  \STATE{meanValue=mean(row);}\\
       \ElSE
              \STATE{meanValue\textgreater cf}\\
              \STATE{$DopShift$(i)=max(row);}\\
              \STATE{$DopShift$(i)=min(row);}\\
       \ENDIF
 \ENDFOR
 \STATE{$DopShift$ = SMA($DopShift$);} // SMA represents smoothed moving average filter\\
       \STATE{Return $DopShift$;}
\end{algorithmic}
\end{algorithm}

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