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TranslationMobile

系數(shù)向量

"coefficient" in Chinese : adj. 共同作用的。 n. 1.共同作用；協(xié)同因素。 ...
"vector" in Chinese : n. 1.【數(shù)學(xué)】向量，矢量，動徑。 2.【航空】飛機航 ...
"macroeconomic coefficient vector" in Chinese : 宏觀經(jīng)濟系數(shù)向量
"optimal coefficient vector" in Chinese : 最優(yōu)系數(shù)向量
"vector correlation coefficient" in Chinese : 向量相關(guān)系數(shù)
"vector coupling coefficient" in Chinese : 矢量耦合系數(shù)
"no vector" in Chinese : 無雷達引導(dǎo)
"s-t vector" in Chinese : s-t向量
"t vector" in Chinese : t向量
"vector" in Chinese : n. 1.【數(shù)學(xué)】向量，矢量，動徑。 2.【航空】飛機航線；航向指示。 3. ...
"a-coefficient" in Chinese : 自發(fā)發(fā)射系數(shù)
"coefficient" in Chinese : adj. 共同作用的。 n. 1.共同作用；協(xié)同因素。 2.【數(shù)，物】系數(shù)， ...
"coefficient a" in Chinese : 輔酶a
"s coefficient" in Chinese : 恩格爾系數(shù)
"vector flow of vector field" in Chinese : 向量場的向量量

Examples

In our proposed method , both the objective function and the perfect reconstruction condition are expressed as a quadratic function of the prototype filter coefficient vector
該方法中，目標函數(shù)和完全重構(gòu)條件均被表示成為原型濾波器系數(shù)矢量的二次函數(shù)形式。
By using the lagrange multiplier approach , the design procedure is formulated as solving the linear equation iteratively to obtain the desirable prototype filter coefficient vector
使用拉格朗日乘數(shù)方法，算法通過迭代求解線性方程來獲得期望的原型濾波器系數(shù)矢量。
We raised a new model that we disassemble the character into several parts , which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector , disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character . moreover , the concept of multi - dim cognizing feature model was put forward by encoding the character , according to its " location and run - length information . the information confusion and redundancy could be largely eliminated , as leaded to the improving of the preciseness when recognizing the character
克服以往結(jié)構(gòu)、統(tǒng)計方法在字符特征提取中無法剔除噪聲、偏移等冗余信息的不足，以認知的新思路分析圖像，給出基于小波子圖的筆劃定義，給出一種注重反映字符部分最為重要的筆劃的類型、數(shù)量、游程、位置特征，改進了基于字符二維圖像的統(tǒng)計與結(jié)構(gòu)特征提取方法因變形，畸變造成信息混淆和冗余；給出了提取多屬性字符認知特征的方法和識別機制，實驗表明，該方法能有效的識別字符； 3
The inner product of the mapping value of the original data in feature space is replaced by a kernel function , and the weights of each neuron can be initialized and updated by initializing and updating the combinatorial coefficient vector of each weight in the algorithm of ksom , so some intuitive and simple iteration formulas are obtained
該算法以核函數(shù)代替原始數(shù)據(jù)在特徵空間中映射值的內(nèi)積，并且神經(jīng)元權(quán)值向量的初始化和更新都可由其組合系數(shù)向量表示，從而獲得了直觀而簡單的迭代公式。
Chapter four introduces the basic theories of continue hidden markov models ( chmm ) . the new method of faults diagnosis based mixture density chmms directly by the vibration ar coefficients vectors of rotating machine is proposed , and then the dynamic patterns presented in run - up process of rotor machine are successfully recognized . at last compares the two faults diagnosis methods of dhmm and chmm , and points out the advantages and disadvantages of the two methods
第四章：在連續(xù)隱markov模型( chmm )的基本理論基礎(chǔ)上，提出了直接利用振動信號ar系數(shù)特征矢量序列建立混合密度chmm的故障診斷新方法，并對轉(zhuǎn)子升速過程的振動模式進行了成功的識別；對dhmm和chmm故障診斷方法進行了對比分析，指出dhmm方法具有算法穩(wěn)定、計算速度快、識別精度高等特點，對于chmm方法只要通過合理選擇特征參數(shù)也能得到高的識別精度。