Cluster_flag

用迭代解的方法来求摄影测量中的相对定向元素(Iterative solution method to find the relative orientation elements in photogrammetry )

TD-SCDMA小区搜索最为关键的sync-dl码同步的确定过程，即搜索DwPTS。(TD-SCDMA cell search of the most critical sync-dl code synchronization process of determining that the search DwPTS.)

说明：   在三次样条中，要寻找三次多项式，以逼近每对数据点间的曲线。在样条术语中，这些数据点称之为断点。因为，两点只能决定一条直线，而在两点间的曲线可用无限多的三次多项式近似。因此，为使结果具有唯一性。在三次样条中，增加了三次多项式的约束条件。通过限定每个三次多项式的一阶和二阶导数，使其在断点处相等，就可以较好地确定所有内部三次多项式。此外，近似多项式通过这些断点的斜率和曲率是连续的。然而，第一个和最后一个三次多项式在第一个和最后一个断点以外，没有伴随多项式。因此必须通过其它方法确定其余的约束。最常用的方法，也是函数spline所采用的方法，就是采用非扭结(not-a-knot)条件。这个条件强迫第一个和第二个三次多项式的三阶导数相等。对最后一个和倒数第二个三次多项式也做同样地处理。 (the Cubic Spline, to find three polynomial, approaching every right to point the data curve. The kind of terms, these data points called breakpoints. Because only two points a straight decisions, and in between the two curves can be used an infinite number of cubic polynomial approximation. Therefore, in order for the outcome of uniqueness. The Cubic Spline, add the cubic polynomial bound by the conditions. By limiting each cubic polynomial of the first order and second-order derivative, it breakpoint in the same Department, we can better identify all internal cubic polynomial. In addition, the polynomial approximation of these breakpoints slope and curvature is continuous. However, the last one and a cubic polynomial in a breakpoint and the final one, not accompanied by polynomials. There)

generalized predictive controller algorithm

详细介绍了在MATLAB中利用GUI做界面的方法！(Described in detail in the MATLAB interface to make use of GUI methods to do!)

这是一个实现Levenberg-Marquardt算法的MATlAB代码，总共4个文件f.m产生目标评价函数，l_m_trust.m是进行L_M算法迭代处理，trtestlm.m是采用置信域方法决定更新参数和置信系数，而测试函数入口时test_lm.m，每个函数里面有详细的中文注释，希望能给你的工作带来帮助！(This is an implementation of Levenberg-Marquardt algorithm MATlAB code, generated a total of four documents fm objective evaluation function, l_m_trust.m is iterative processing algorithm for L_M, trtestlm.m Confidence region method is used decided to update the parameters and confidence coefficient and the test function entrance test_lm.m)

Sample program to study Location Determination Techniques using OTDOA

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

在mit心电数据库下载的mat格式的心电信号(In the MIT ecg database download the format of the mat ecg signal)

仿真参数:800个载波，1024点IFFT，载波间频1，无多径和有延迟个码片仿真。调制方式是BPSK和QPSK(simulation parameters : 800 Carrier, the 1024-point IFFT, a carrier frequency between, No multi-path and the delay-chip simulation. BPSK modulation is QPSK)