在程序第二版中"%求整流BCD电荷流对应的电导率sigma_BCD_0w”这部分中: new_integrand_BCD_xxx(index_of_ky,index_of_kx)=integrand_BCD_xxx(h); 这里将index_of_ky放在前面,而index_of_kx放在后面就是因为: 从此知,比如new_integrand_BCD_xxx矩阵在...
Access the odd-index elements ofx. x(1:2:end) ans =1×81 3 5 7 9 11 13 15 Access the last row of a matrixAusingend. A = magic(3) A =3×38 1 6 3 5 7 4 9 2 B = A(end,:) B =1×34 9 2 Tips Classes can overload theendfunction to implement specialized behavior. Fo...
:); Yts = YN(tsIndex,:); % 设置网络结构 pr = [-1 1]; PR = repmat(pr,InputNum,1);...
gui_Visible='auto';gui_VisibleInput='';forindex=1:2:length(varargin)iflength(varargin)==index||~ischar(varargin{index})break;end%Recognize'visible'P/Vpair len1=min(length('visible'),length(varargin{index}));len2=min(length('off'),length(varargin{index+1}));ifischar(varargin{index+1}...
|-使用setfield设置:setfield(array,{array_index},field,{field_index}, V),V是需要设置的值 |-使用fieldnames获取结构数组的所有域 2.20、数据统计分析函数 2.20.1、max(x)、min(x)、mean(x) |-获得矩阵x中各列的最大值、最小值、平均值
[magnitude, index]=max(sfft_mag_scaled(1:hpts)) Returns: magnitude = 1 index = 3(从0开始,所以2Hz是3) 数字滤波器 数字滤波器用于一些不需要的频率信号。比如工频噪声(50Hz)正弦信号等。通常有两类滤波器: FIR(有限冲击响应滤波器) IIR(无限冲击响应滤波器) ...
index(min(distances)) self.clf_[classification].append(feature) # print("分组情况:",self.clf_) prev_centers = dict(self.centers_) for c in self.clf_: self.centers_[c] = np.average(self.clf_[c], axis=0) # '中心点'是否在误差范围 optimized = True for center in self.centers_: ...
(2),StartPoint(1));EndNode=sub2ind([MN],EndPoint(2),EndPoint(1));%% Calculate distance matrix%In the distance matrix, (weighted adjacency matrix), the i indexes are the source the j indexs are the target% %% Find shortest pathg=mat2graph(mapData);% plotImageGraph(g)[path,dist,edge...
Image search index, returned as aninvertedImageIndexobject. Algorithms imageIndexuses the bag-of-features framework with the speeded-up robust features (SURF) detector and extractor to learn a vocabulary of 20,000 visual words. The visual words are then used to create an index that maps visual...
indexPairs = matchFeatures(features,featuresPrevious,Unique=true); % Get matching points matchedPoints = points(indexPairs(:,1), :); matchedPointsPrev = pointsPrevious(indexPairs(:,2),:); % Estimate the transformation between I(n) and I(n-1). tforms(n) = estimateGeometricTransform2D(match...