比较详细地分析了快速汉克尔变换误差原因，给出修正方案，有效地提高了算法精度。
The article has analyzed error cause of fast hankel transform in detail, and the correction schemes are gived, and has effectively raised the algorithm accuracy.
传统的快速傅里叶变换（FFT）可以有效地对正弦信号进行分析，但对于分析频率相近的正弦信号却存在很大的误差。
Traditional FFT can effectively analyze the sinusoidal signal, but the very big error exists for analyzing the similar frequency sinusoidal signal.
通过KASS程序分析计算，得出麦弗逊悬架和转向系统的前轮定位参数及转向误差的变换规律。
Through KASS analysis calculation, acquire the transformation rule of front wheel location parameter and steering error of McPherson suspension and steering system.
将来自不同国家的数据源进行数据转换、投影变换和误差校正，转换为统一的数据格式和投影坐标系统。
The data from the data sources of different countries are converted into the unifying data format and projection coordinates system by data conversion, projection conversion and error correction.
该方法通过求导线误差重心，坐标变换和分离的手段对原方法作了重大的改进，从而使计算变得简单。
The method is greatly improved on an old one by calculating traverse error orthocenter, coordinate transformation and separation. so as to make the calculation easier.
快速傅里叶变换在非同步采样和非整数周期截断的情况下存在较大误差，无法获得较精确的间谐波参数值。
The fast Fourier transform (FFT) will bring on higher error under nonsynchronous sampling and truncated non-integral period, thus more accurate interharmonic parameter values cannot be obtained.
针对四轮车式移动机器人的运动学模型，首先利用一个正则坐标变换，将误差系统转换为一个非线性串联系统的形式；
Aimed at the kinematic model of the car-like mobile robot with four wheels, the tracking error system is firstly transformed to a nonlinear serial system through a regular transformation.
这里采用矩阵法建立了转台各个支路的位姿变换关系，提出了求解转台误差的数值方法，通过实例对该方法进行了验证。
The matrix approach is used to establish each branch's position and pose transformation relation, and a numeric method to solve the platform's error is presented, which is tested by an instance.
对含有噪声的数字信号进行时频变换时，必然引起频谱误差。
Spectrum errors will occur when the digital signal is transformed from time to frequency domaim.
针对数据流上近似查询中的梗概计算，提出了一种新的基于最小误差的维压缩小波变换算法(MEDC)。
Aiming at synopsis computation of approximate query in data stream, a novel wavelet transformation algorithm, Minimum Error based Dimension Compression (MEDC) algorithm, is proposed in this paper.
在设计方向滤波器时，对滤波器的旋转引入了方—圆变换的方法，进而减少了计算的复杂度，同时避免引入误差。
While designing orientation filter, we introduced the square-circle transform to rotate filter, thus we reduced computing complexity and avoided imported errors.
该算法通过对FFT算法做简单变换，减小了频谱泄漏误差，降低了谐波之间的相互干扰。
Through simple transforms of FFT algorithm, the amending algorithm can reduce satisfactorily the leakage error, and obtain accurate analysis results.
采用像素点变换法，实现了根据三维物体的二维投影图像恢复物体表面的真实几何面积的设想，大大降低了缺陷面积计算的误差；
To decrease the relative errors, the pixel transform method was adopted to recover the geometrical feature of sphere fruit surface from projected image while the area of defect was calculated.
提出一种新的基于行列变换结构的2- DCT/IDCT误差模型。
The paper gived a novel 2 DCT/IDCT error module which support transform matrix architecture.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。
The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
分析了按时间抽取（DIT）基-2快速傅里叶变换（FFT）的误差，数据格式为二进制补码。
The error of the decimate in time (DIT) radix-2 fast Fourier transform (FFT) is analyzed, where the data format is two's complement.
该方法通过求导线误差重心，坐标变换和分离的手段对原方法作了重大的改进，从而使计算变得简单。
The method is greatly improved on an old one by calculating traverse error orthocenter, coordinate transformation and separation.
快速傅里叶变换(FFT)是电力系统进行谐波分析的主要算法，但当输入信号中含有衰减直流分量时，FFT算法会产生较大的误差。
Fast Fourier transform (FFT) is the main algorithm for harmonic analysis in electric power system, but when there is the decaying DC component in input signal, FFT algorithm will have higher error.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
The new learning control rule not only incorporated a state compensation in the conventional ILC formula but also adopted the wavelet transform to filter learnable tracking errors without phase shift.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
The new learning control rule not only incorporates a state compensation in the conventional ILC formula, but also adopts the wavelet transform to filter learnable tracking errors without phase shift.
提出了一种在智能仪器中用补偿函数实现非线性误差修正和标度变换的方法。
A method to realize non linearity correction and scale transformation with compensation function used in intelligent instrument is presented.
许多物理实验，若用传统的实验数据处理方法则存在着计算量大、作图误差大、公式变换复杂、所得结果不直观简洁等诸多问题。
The data processing of physics experiment with traditional method has some problems, such as generous calculation, diagraph error, complex formula-transform, indirect and complicated result.
提出了利用齐次变换矩阵和正向、逆向运动学相结合的误差计算方法以及相应的误差补偿策略；
The error calculating method using the homogeneous coordinate transformation matrix together with forward and inverse kinematics and the corresponding error compensation strategies were proposed.
轮廓识别采用坐标变换及曲线求二阶导数，避免了果核位置判断误差造成的误判。
In outline recognition, to reduce the misjudge result from calculated error of the core position, reference frame transform and second derivative of curve were adopted.
用吉文斯变换法解算误差方程的结果与用最小二法解算的结果是一致的。
The result iS unanimity to solve error equations using Givens Transformations and using the least square method.
本文讨论了在红外电视中测温信号的变换方法，分析了在变换中引起的测温误差，并提出了改进措施。
Conversion methods for temperature signal in infrared TV and the conversion error are discussed. Measures are suggested to improve accuracy.
提出了通过传感器静态标定和坐标变换来减少安装误差影响的方法。
To reduce influence of mounting position error, sensor static calibration and coordinate transform are implemented.
本文利用小波变换对火炮误差角信号进行处理，改善了误差角信号的质量，有效减小了稳定精度的测量误差。
In this paper, the signal quality is improved via denoising in wavelet transformation domain, as a result the measuring error of stabilization precision is reduced.
本文将齐次坐标变换理论结合刀具与工件联结链矢量概念建立了加工中心误差运动综合补偿模型。
An error synthesis model for the machining centers is set up by using homogeneous coordinate transformation and tool workpiece connection vector.
首先建立了一种基于李雅普·诺夫变换的SINS等价误差模型。
An equivalent error model of SINS was established by Lyapunov transform.
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