time window
时间: 2023-09-25 10:12:45 浏览: 46
A time window refers to a specific period of time during which a particular activity or event is scheduled to take place. It could be a fixed or flexible duration of time, depending on the context in which it is being used. In some cases, the time window may have a specific start and end time, while in other cases it may be more open-ended, such as a period of several days or weeks. Time windows are commonly used in scheduling and project management to help ensure that activities occur within specified time frames.
相关问题
import tkinter as tk import time window=tk.Tk() window.title("抽") window.geometry("1920x1080") var1=tk.Label(window,text="hellow").pack() string="你点开了" #var2=tk.Label(window,text=string) def var1(): for i in range(1,10): time.sleep(1) var2=tk.Label(window,text=string).pack() var3=tk.Button(window,text="按钮",command=var1).pack() window.after(100, func) window.mainloop()
这个代码存在一些问题,我来帮你解决一下:
1. 在代码的开头,你需要在 `import tkinter as tk` 后面加一个换行符。
2. 在创建窗口对象时,你需要先使用 `window = tk.Tk()` 来创建窗口对象,然后再设置窗口标题、窗口尺寸等属性。
3. 在创建 `var1` 标签时,你需要将 `var1=tk.Label(window,text="hellow").pack()` 拆分成两行代码,先创建 `var1` 标签对象,然后再使用 `pack` 方法将它放置到窗口中。
4. 在 `var1` 函数内部,你需要使用 `global` 关键字来声明 `var2` 变量是全局变量,才能在函数内部使用它。
5. 在 `var1` 函数内部,你需要使用 `var2.config(text=string)` 来更新标签的文本内容,而不是重新创建一个新的标签对象。
下面是修改后的代码:
```python
import tkinter as tk
import time
window = tk.Tk()
window.title("抽")
window.geometry("1920x1080")
var1 = tk.Label(window, text="hellow")
var1.pack()
string = "你点开了"
def var1():
global var2
for i in range(1, 10):
time.sleep(1)
var2.config(text=string)
window.update()
var3 = tk.Button(window, text="按钮", command=var1)
var3.pack()
var2 = tk.Label(window, text="")
var2.pack()
window.mainloop()
```
注意,在 `var1` 函数内部,我使用了 `window.update()` 方法来更新窗口的内容,这样标签的文本内容才会立即显示出来。
function [Bisp, freq] = sBistemp(x, y, z, minfreq, maxfreq, samplingrate, freqsamplingrate, T) % Bistemp calculates the bicoherence between three signals x, y, and z % within a given time window T, using the S_transform. % The bicoherence is calculated for frequencies between minfreq and maxfreq, % with a sampling rate of freqsamplingrate. % The sampling rate of the signals is given by samplingrate. % The output Bisp is the bicoherence matrix and freq is the frequency vector. tmin = T(1); tmax = T(end); % Calculate the S_transform for x and y [stx,t,freq] = st(x, minfreq, maxfreq, samplingrate, freqsamplingrate); if isequal(x, y) % if x and y are the same signal, reuse the stx matrix sty = stx; else % otherwise, calculate the S_transform for y [sty,~,~] = st(y, minfreq, maxfreq, samplingrate, freqsamplingrate); end % Calculate the S_transform for z [stz,~,~] = st(z, minfreq, maxfreq, samplingrate, freqsamplingrate); % Find the indices of the time window in the S_transform matrices i1 = max(floor(tmin*freqsamplingrate), 1); i2 = min(floor(tmax*freqsamplingrate), length(freq)); % Cut the S_transform matrices to the appropriate time window stx = stx(:, i1:i2); sty = sty(:, i1:i2); stz = stz(:, i1:i2); nf = length(freq); Bisp = zeros(nf, nf); for i = 1:nf f1 = freq(i); start = 1; if isequal(x, y) start = i; end for j = start:nf f2 = freq(j); f3 = f1 + f2; idx3 = find(freq >= f3, 1); if (idx3 <= nf)&(freq(idx3) > freq(max(i,j))) Bisp(i, j) = mean(stx(i,:) .* sty(j,:) .* conj(stz(idx3,:))); end end end end将这个代码的输出Bisp在f2=0,时进行幅值归一化,给出代码
在f2=0时进行幅值归一化,可以将代码修改为如下形式:
```matlab
function [Bisp, freq] = sBistemp(x, y, z, minfreq, maxfreq, samplingrate, freqsamplingrate, T)
% Bistemp calculates the bicoherence between three signals x, y, and z
% within a given time window T, using the S_transform.
% The bicoherence is calculated for frequencies between minfreq and maxfreq,
% with a sampling rate of freqsamplingrate.
% The sampling rate of the signals is given by samplingrate.
% The output Bisp is the bicoherence matrix and freq is the frequency vector.
tmin = T(1);
tmax = T(end);
% Calculate the S_transform for x and y
[stx,t,freq] = st(x, minfreq, maxfreq, samplingrate, freqsamplingrate);
if isequal(x, y) % if x and y are the same signal, reuse the stx matrix
sty = stx;
else % otherwise, calculate the S_transform for y
[sty,~,~] = st(y, minfreq, maxfreq, samplingrate, freqsamplingrate);
end
% Calculate the S_transform for z
[stz,~,~] = st(z, minfreq, maxfreq, samplingrate, freqsamplingrate);
% Find the indices of the time window in the S_transform matrices
i1 = max(floor(tmin*freqsamplingrate), 1);
i2 = min(floor(tmax*freqsamplingrate), length(freq));
% Cut the S_transform matrices to the appropriate time window
stx = stx(:, i1:i2);
sty = sty(:, i1:i2);
stz = stz(:, i1:i2);
nf = length(freq);
Bisp = zeros(nf, nf);
for i = 1:nf
f1 = freq(i);
start = 1;
if isequal(x, y)
start = i;
end
for j = start:nf
f2 = freq(j);
f3 = f1 + f2;
idx3 = find(freq >= f3, 1);
if (idx3 <= nf)&(freq(idx3) > freq(max(i,j)))
bisp = mean(stx(i,:) .* sty(j,:) .* conj(stz(idx3,:)));
if f2 == 0 % f2=0时进行归一化
bisp = bisp / abs(bisp);
end
Bisp(i, j) = bisp;
end
end
end
end
```
在这个修改后的代码中,当 f2=0 时,我们计算出 bisp = mean(stx(i,:) .* sty(j,:) .* conj(stz(idx3,:))),然后将其进行幅值归一化,即将 bisp 除以 abs(bisp)。最后将得到的归一化结果赋给 Bisp(i, j)。