subspace
美 ['s?b?spe?s] 
英 ['s?bspe?s]
- n.【數(shù)】子空間
- 網(wǎng)絡子空間法；兩子空間夾角；子空間之間的角度
英漢解釋
例句
Since the wavelets possess symmetry and interpolation, the sampling theorem on approximation subspace is established easily.
用該方法構(gòu)造出的小波具有插值性和對稱性，因而容易建立信號采樣定理。
Partial differential equations are solved by first discretizing the equation, bringing it into a finite-dimensional subspace.
偏微分方程求解第一離散方程，使之成為一個有限維子空間。
The energy of the desired user may lie on a lower dimensional subspace, so the detection can be constrained on a reduced-rank subspace.
又由于期望用戶的能量可能位于信號子空間的某一子空間，所以將檢測器限制在降秩子空間上是可行的。
Firstly, by utilizing the signal structure characteristic and subspace-based method, multi-users' carrier frequency offsets can be obtained.
首先利用信號的結(jié)構(gòu)特性并借助于子空間的方法估計得到多用戶的頻率偏移；
appearance tracking, where the target visual appearances fora short time interval are represented as a linear subspace.
外觀跟蹤，其中目標視覺表象論壇短的時間間隔為一個線性子空間的代表。
Their main feature is, at each iteration, to search for an optimal solution in the subspace.
這類方法的基本特征是每次迭代在一個低維子空間尋找最優(yōu)點。
By numeric experimentation, identification precision and efficiency of the two subspace methods is analyzed under different noise.
通過數(shù)值試驗，分析了不同噪聲水準下兩種子空間的識別精度和效率。
The story arch revolves around the discovery of bio-cyberspace existing in human brains (kinda like subspace in outer space).
故事主線是圍繞著人們發(fā)現(xiàn)了人腦中存在著一種生物互聯(lián)網(wǎng)絡（有點像外太空的亞空間）。
Through the simulation experiments, it checks the validity of the closed-loop subspace model identification.
通過仿真實驗，驗證了閉環(huán)子空間模型辨識（closed-loopSMI）算法的有效性。
introducing a self-adaptive mechanism to adjust the dimension of the search subspace as the searching range changed.
提出一種根據(jù)演化的進度能自動調(diào)整搜索范圍的自適應機制。
We propose a subspace interior point trust region method to solve this type of problems, and our method does not need parameterization.
我們提出了一個子空間的內(nèi)點信賴域算法來求解這個問題，這種方法不需要引入參數(shù)或者變換。
The characteristic subspace is structured, then the face recognition is implemented in the characteristic subspace.
構(gòu)造了特征子空間，并在特征子空間內(nèi)實現(xiàn)臉部識別。
In machine learning, subspace information criterion(SIC) gives an unbiased estimate of the generalization error.
在機器學習中，子空間信息準則給出推廣誤差的一種無偏估計。
We first fit the subspace to the detected trajectories robustly using RANSAC and then remove those that have large residuals.
我們第一次合適的子空間的軌跡魯檢測然后用RANSAC移除那些大型后遺癥。
The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.
主要研究內(nèi)容包括：（1）提出一種增量式張量子空間學習的目標跟蹤算法。
A subspace-based state space system identification method is applied to identify the model of rotorcraft in hover.
基于其離散狀態(tài)空間模型，采用子空間方法進行線性系統(tǒng)識別。
Subspace methods for face recognition , image representation , image metric, and ensemble learning .
子空間法人臉識別，圖像的表示，圖像距離度量，多分類器組合。
Compared with general statistical feature subspace, less operation was needed in forming the adaptive feature subspace.
同時，與常規(guī)特征子空間相比，建立自適應特征子空間的運算量大為減少。
In this paper, an incremental tensor subspace learning algorithm is proposed to model and update the object appearance in tensor subspace.
為此，本文提出了一種增量張量子空間學習算法，用于跟蹤目標的建模與模型更新。
Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace.
再次，對每一個子空間信號特征向量進行標準化、降維和分類；
The high resolution of noise subspace processing is remained, and robustness via signal subspace processing is improved in this method.
新方法保持了噪聲子空間處理的高分辨力，并通過信號子空間處理提高了對有限數(shù)據(jù)誤差的穩(wěn)健性。
We researched the subspace eigenvalue decomposition and weighted subspace fitting techniques in the beam space.
在波束空間內(nèi)，研究了相干信源子空間分解技術和加權(quán)子空間擬合技術。
Scientists on Earth first confirm existence of the subspace domain.
地球科學家首次確認子空間的存在。
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
采用最小噪聲子空間方法，提出了一種通信信道盲辨識算法。
Then, we give a closed-form solution to this subspace tracking problem and also provide a practical iterative algorithm.
然后，本人們給出一個封鎖方式解這個子空間跟蹤問題，并供給實踐迭代算法。
Several numerical examples show the effectiveness of TNP and subspace truncated-Newton algorithm for solving the OCP.
計算實例表明了時間節(jié)點參數(shù)化方法和子空間截斷牛頓法在最優(yōu)控制問題求解中的有效性。
By utilizing subspace projection, this paper proposes a new anti-jamming algorithm for conventional multi-beam forming.
提出了一種基于子空間投影的常規(guī)多波束抗干擾算法。
A criteria for detection is derived based theasymptotical analysis of the orthogonality between signal and noise subspace.
對信號子空間和噪聲子空間的正交性進行了分析得出新的估計準則。
The isomorphic conditions of some lattices generated by transitive sets of subspace under finite pseudo-symplectic groups are discussed.
文章討論了偽辛群作用下子空間軌道生成的格的同構(gòu)條件。
A novel sparsity adaptive subspace pursuit algorithm is proposed for sparse signals with unknown sparsity.
針對壓縮采樣中未知稀疏度的信號，本文提出一種自適應子空間追蹤算法。
Kernel function is introduced to subspace clustering to improve the clustering performance.
在子空間聚類引入核函數(shù)以提高數(shù)據(jù)聚類性能。
The reduced system is obtained by projecting the original system onto a predefined approximate subspace.
將該有限元格式通過事先構(gòu)造的近似子空間進行縮減，得到快速計算模型。
A subspace radio typically has a real-time range of several light years.
一個子空間電臺通常有橫跨數(shù)光年的實時通訊范圍。
AN IMPROVED SUBSPACE METHOD AND ITS APPLICATION TO PARAMETER.
改進的子空間方法及其在時變結(jié)構(gòu)參數(shù)辨識中的應用。
Therefore, the dual eigenspace method for automatic palmprint recognition was proposed using the subspace method of pattern recognition.
在此基礎上結(jié)合子空間法模式識別理論，提出了雙子空間掌紋自動識別方法。
To classify the blocks, a modified subspace method is used to analysed the denseness of the coating texture.
舌苔塊分類時，采用改進的子空間法分析紋理結(jié)構(gòu)的疏密，并結(jié)合紋理粗糙度特征來表達顆粒的粗細。
The problem of closed-loop subspace identification for continuous-time models from sampled data directly is considered.
本文對直接使用采樣數(shù)據(jù)進行連續(xù)系統(tǒng)的閉環(huán)子空間辨識問題進行了研究。
In the end, two algorithms grounded on subspace and cyclostationarity for channel blind estimation are introduced briefly.
最后本文還簡要介紹了盲估計的其它兩種算法：子空間法和循環(huán)平穩(wěn)法。
In this paper, we give the character of stable invariant subspace of certain essentially normal operators, i.
在本文中，我們給出了一類本質(zhì)正規(guī)算子的穩(wěn)定不變子空間的特征。
Compared with a system performance monitoring based on characteristic subspace, the improved PCA is more effective.
與一種基于特征子空間的系統(tǒng)性能監(jiān)控方法相比較，改進的PCA方法具有更強的有效性。
