前言：
前面讲过Nyquist Zero ISI Theorem，主要是讲采样频率 必须大于2倍主信息频率。
直观上跟数据发送的速率也有关系，这篇就是把它跟数据发送的速率结合起来了
这篇主要结合Nyquist Theorem讨论一下数字通讯系统中最大的发送数据速率和W关系。
一 整体流程
这个 线性系统（linear system）,是3个过滤器的卷积。
a filter in your send,impulse response
a filter in your channel, impulse response.这个是难以改变的，比如多径传输，直接取决于信道本身，一般都是设计其它两个过滤器
a filter in your receiver.
我们就是要设计这种过滤器
二 NYQUIST ZERO ISI therorem
x(t) 傅里叶变换结果为常数
定理1：
m =0
m>0时候：
2.1：
从图中我们可以看到，其和不是一个常数。
不能满足上面定理1，会产生ISI
2.2
如果设计发送接收的滤波器，使得 频域信号为square, ISI也能为0
each one of these elements is one of
the elements of this summation and the
overall function is the overall function
that i've drawn and it has to equal the same value
for all values of frequency and the way i've
drawn it here ,it does not do that .
however there is a special shape that would achieve
that , so instead of this shape that i've drawn hre , if you
could design your transmit filter and receive filter so
the over all square was a square ,then i think you can see that if
these shapes were replaced by a square , when they added up
they would be absolutely flat ,acroos all the values of frequency
and they would be exactly the same because they can each one of these
shape is contained between -w and w
1.3 发送速率小于2倍采样频率
从图上可以看到频域中，降低的部分由ISI 部分补上去了，其最终结果是一个常数
满足定理1